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• Intro; Preface; About the Subject; About the Book; Objectives of the Book; Organization of the Book; Book Features; Audience; Acknowledgements; Contents; Part I Advances in Chaos Theory; A Novel Design Approach of a Nonlinear Resistor Based on a Memristor Emulator; 1 Introduction; 2 Memristor
• A Brief Review; 2.1 The Invention; 2.2 The First Physical Model of the Memristor; 3 Memristor's Emulators; 3.1 Related Works; 3.2 The Proposed Memristor Emulator; 4 Implementation of a Nonlinear Resistor Based on the Memristor Emulator; 5 Nonlinear Circuit Based on the Proposed Nonlinear Resistor

• 5.1 Numerical Simulation Results5.2 Simulation Results with Multisim; 6 Conclusion; References; Dynamics, Synchronization and SPICE Implementation of a Memristive System with Hidden Hyperchaotic Attractor; 1 Introduction; 2 Related Work; 3 Model of the Memristive System; 4 Dynamics and Properties of the Memristive System; 5 Adaptive Anti-synchronization of the Memristive System; 6 Circuit Realization of the Memristive System; 7 Conclusion; References; Synchronization of Fractional Chaotic and Hyperchaotic Systems Using an Extended Active Control; 1 Introduction; 2 Related Work

• 3 Preliminaries4 Synchronization Techniques; 4.1 Equations Not Involving Delay; 4.2 Equations Involving Delay; 5 Examples; 5.1 Synchronization of Chaotic Fractional Liu System; 5.2 Synchronization of Hyperchaotic Fractional New System; 5.3 Synchronization of Fractional Order Delay System; 6 Discussion; 7 Conclusion; References; A Novel 4-D Hyperchaotic Thermal Convection System and Its Adaptive Control; 1 Introduction; 2 A Novel 4-D Hyperchaotic Thermal Convection System; 3 Analysis of the Novel 4-D Hyperchaotic Thermal Convection System; 3.1 Dissipativity; 3.2 Equilibrium Points

• 3.3 Rotation Symmetry About the x3-axis3.4 Invariance; 3.5 Lyapunov Exponents and Kaplan-Yorke Dimension; 4 Adaptive Control of the Novel Hyperchaotic Thermal Convection System; 5 Adaptive Synchronization of the Identical Novel Hyperchaotic Systems; 6 Conclusions; References; Synchronization of Chaotic Dynamical Systems in Discrete-Time; 1 Introduction; 2 Complete Synchronization for Arbitrary 3D Quadratic Maps; 2.1 General Synchronization Approach; 2.2 Illustrative Example; 2.3 Conclusion; 3 Complete Synchronization Criterions for N-Dimensional Maps

• 3.1 Synchronization Criterion Via Controlling(bij) 1leqi, jleqn3.2 Synchronization Criterion Via Controlling (bii)1leqileqn; 3.3 Numerical Application; 3.4 Conclusion; 4 Matrix Projective Synchronization for Different Dimensional Maps; 4.1 Matrix Projective Synchronization Criterion; 4.2 Simulation Example; 4.3 Conclusion; 5 Inverse Matrix Projective Synchronization Between n-D and m-D Maps; 5.1 Synchronization Results; 5.2 Numerical Results; 5.3 Conclusion; 6 Synchronization in Different Dimensions Using Two Scaling Matrices

The book reports on the latest advances in and applications of chaos theory and intelligent control. Written by eminent scientists and active researchers and using a clear, matter-of-fact style, it covers advanced theories, methods, and applications in a variety of research areas, and explains key concepts in modeling, analysis, and control of chaotic and hyperchaotic systems. Topics include fractional chaotic systems, chaos control, chaos synchronization, memristors, jerk circuits, chaotic systems with hidden attractors, mechanical and biological chaos, and circuit realization of chaotic systems. The book further covers fuzzy logic controllers, evolutionary algorithms, swarm intelligence, and petri nets among other topics. Not only does it provide the readers with chaos fundamentals and intelligent control-based algorithms; it also discusses key applications of chaos as well as multidisciplinary solutions developed via intelligent control. The book is a timely and comprehensive reference guide for graduate students, researchers, and practitioners in the areas of chaos theory and intelligent control.

• Enough Questions for Everybody
• Understanding Collective Intelligence
• Predicting Asset Value through Twitter Buzz
• Adding Value with Collective Intelligence
• A Reference Framework for Business Models for User-Generated Content
• Collective Intelligence Model: How to Describe Collective Intelligence
• The Participatory Roles Play Simulation in a Social and Collective Learning Context
• A Complex Network Analysis of the Weighted Graph of the Web2.0 Service Network
• How Collective Intelligence Redefines Education
• On Presence, Collective Performance and Assumptions of Causality
• Preservation of Enterprise Engineering Processes by Social Collaboration Software
• Univector Field Method Based Multi-robot Navigation for Pursuit Problem
• Harvesting Domain-Specific Data Resources for Enhanced After-Sales Intelligence in Car Industry.

Collective intelligence has become an attractive subject of interest for both academia and industry. More and more conferences and workshops discuss the impact of the users' motivation to participate in the value creation process, the enabling role of leading-edge information and communication technologies and the need for better algorithms to deal with the growing amount of shared data. There are many interesting and challenging topics that need to be researched and discussed with respect to knowledge creation, creativity and innovation processes carried forward in the emerging communities of practice. COLLIN is on the path to become the flagship conference in the areas of collective intelligence and ICT-enabled social networking. We were delighted to again receive contributions from different parts of the world including Australia, Europe, Asia, and the United States. Encouraged by the positive response, we plan COLLIN 2012 to be held next year end of August at FernUniverstität in Hagen. In order to guarantee the quality of the event, each paper went through a doubleblind review process. The reviews concentrated on originality, quality and relevance of the paper topic to the symposium. In addition, we invited a few renowned experts in the field to contribute to the success of the symposium with outstanding papers reporting on their most recent research. Our special thanks go to the authors for submitting their papers, to the international program committee members, and to numerous reviewers who did an excellent job in guaranteeing that the papers in this volume are of very high quality.

• Bio-inspired Computing.- E-Health and Computational Biology.- Human Computer Interaction.- Image and Signal Processing.- Mathematics for Neural Networks.- Self-organizing Networks.- Spiking Neurons.- Artificial Neural Networks in Industry ANNI'17.- Computational Intelligence Tools and Techniques for Biomedical Applications.- Assistive Rehabilitation Technology.- Computational Intelligence Methods for Time Series.- Machine Learning Applied to Vision and Robotics.- Human Activity Recognition for Health and Well-Being Applications.- Software Testing and Intelligent Systems.- Real World Applications of BCI Systems.- Machine Learning in Imbalanced Domains.- Surveillance and Rescue Systems and Algorithms for Unmanned Aerial Vehicles.- End-User Development for Social Robotics.- Artificial Intelligence and Games.- Supervised, Non-Supervised, Reinforcement and Statistical Algorithms. .
• (source: Nielsen Book Data)

This two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, held in Cadiz, Spain, in June 2017. The 126 revised full papers presented in this double volume were carefully reviewed and selected from 199 submissions. The papers are organized in topical sections on Bio-inspired Computing; E-Health and Computational Biology; Human Computer Interaction; Image and Signal Processing; Mathematics for Neural Networks; Self-organizing Networks; Spiking Neurons; Artificial Neural Networks in Industry ANNI'17; Computational Intelligence Tools and Techniques for Biomedical Applications; Assistive Rehabilitation Technology; Computational Intelligence Methods for Time Series; Machine Learning Applied to Vision and Robotics; Human Activity Recognition for Health and Well-Being Applications; Software Testing and Intelligent Systems; Real World Applications of BCI Systems; Machine Learning in Imbalanced Domains; Surveillance and Rescue Systems and Algorithms for Unmanned Aerial Vehicles; End-User Development for Social Robotics; Artificial Intelligence and Games; and Supervised, Non-Supervised, Reinforcement and Statistical Algorithms.
(source: Nielsen Book Data)

• Bio-inspired Computing.- E-Health and Computational Biology.- Human Computer Interaction.- Image and Signal Processing.- Mathematics for Neural Networks.- Self-organizing Networks.- Spiking Neurons.- Artificial Neural Networks in Industry ANNI'17.- Computational Intelligence Tools and Techniques for Biomedical Applications.- Assistive Rehabilitation Technology.- Computational Intelligence Methods for Time Series.- Machine Learning Applied to Vision and Robotics.- Human Activity Recognition for Health and Well-Being Applications.- Software Testing and Intelligent Systems.- Real World Applications of BCI Systems.- Machine Learning in Imbalanced Domains.- Surveillance and Rescue Systems and Algorithms for Unmanned Aerial Vehicles.- End-User Development for Social Robotics.- Artificial Intelligence and Games.- Supervised, Non-Supervised, Reinforcement and Statistical Algorithms. .
• (source: Nielsen Book Data)

This two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, held in Cadiz, Spain, in June 2017. The 126 revised full papers presented in this double volume were carefully reviewed and selected from 199 submissions. The papers are organized in topical sections on Bio-inspired Computing; E-Health and Computational Biology; Human Computer Interaction; Image and Signal Processing; Mathematics for Neural Networks; Self-organizing Networks; Spiking Neurons; Artificial Neural Networks in Industry ANNI'17; Computational Intelligence Tools and Techniques for Biomedical Applications; Assistive Rehabilitation Technology; Computational Intelligence Methods for Time Series; Machine Learning Applied to Vision and Robotics; Human Activity Recognition for Health and Well-Being Applications; Software Testing and Intelligent Systems; Real World Applications of BCI Systems; Machine Learning in Imbalanced Domains; Surveillance and Rescue Systems and Algorithms for Unmanned Aerial Vehicles; End-User Development for Social Robotics; Artificial Intelligence and Games; and Supervised, Non-Supervised, Reinforcement and Statistical Algorithms.
(source: Nielsen Book Data)

• Natural Language Processing
• The relevance of the Named Entities in Authorship Attribution.- A compact representation for cross-domain short text clustering.- Characteristics of Most Frequent Spanish Verb-Noun Combinations.- Sentence Paraphrase Graphs: Classification Based on Predictive Models or Annotators Decisions.- Mathematical model of an ontological-semantic analyzer using basic ontological-semantic patterns.- CookingQA: A Question Answering System based on Cooking Ontology.- LEXIK. An Integrated System for Specialized Terminology.- Linguistic Restrictions in Automatic Translation from Written Spanish to MSL.- Intra-Document and Inter-Document Redundancy on Multi-Document Summarization.- Framework for searching judicial precedents based on Automatic summarization.- Discriminatory capacity of the most representative phonemes in Spanish: an evaluation for forensic speech recognition.- A Speech-Based Web Co-Authoring Platform for the Blind.- Social Networks and Opinion Mining.- Friends and Enemies of Clinton and Trump: Using Context for Detecting Stance in Political Tweets.- Additive Regularization for Topic Modeling in Sociological Studies of User-Generated Texts.- Effect of the inclusion of non-newsworthy messages in credibility assessment.- On the impact of neighborhood selection strategies for recommender systems in LBSNs.- Fuzzy Logic.- For Multi-Interval-Valued Fuzzy Sets, Centroid Defuzzification Is Equivalent to Defuzzifying Its Interval Hull: A Theorem.- Metric Spaces Under Interval Uncertainty: Towards an Adequate Definition.- A study of parameter dynamic adaptation with fuzzy logic for the grey wolf optimizer algorithm.- Interval Type-2 fuzzy logic for parameter adaptation in the gravitational search algorithm.- Water cycle algorithm with fuzzy logic for dynamic adaptation of parameters.- Off-line tuning of a PID controller using Type-2 Fuzzy Logic.- Detection of faults in induction motors using texture-based features and fuzzy inference.- Time Series Analysis and Forecasting.- Trend Detection in Gold Worth using Regression.- Queries to Internet as a Tool for Analysis of Regional Police Work and Forecast of Crimes in Regions.- Creating Collections of Descriptors of Events and Processes Based on Internet Queries.- Planning and Scheduling.- Using a Grammar Checker to Validate Compliance of Processes with Workflow Models.- On Verification of Workflow and Planning Domain Models using Attribute Grammars.- Tramp Ship Scheduling Problem with Berth Allocation Considerations and Time-dependent Constraints.- Hierarchical Task Model for Resource Failure Recovery in Production Scheduling.- A multi-objective hospital operating room planning and scheduling problem using compromise programming.- Solving Manufacturing Cell Design Problems using the Black Hole Algorithm.- Image Processing and Computer Vision.- Efficient Computation of the Euler Number of a 2-D Binary of Image.- Image filter based on block matching and principal component analysis.- Support to the diagnosis of the Pap test, using computer algorithms of digital image processing.- Implementation of Computer Vision Guided Peg-Hole Insertion Task Performed by Robot through LabVIEW.- Object Tracking Based on Modified TLD Framework Using Compressive Sensing Features.- Parameter characterization of complex wavelets and its use in 3D reconstruction.- Customer Analysis via Video Analytics: Customer Detection with Multiple Cues.- Methodology for Automatic Collection of Vehicle Traffic Data by Object Tracking.- Robotics.- GPS-based curve estimation for an adaptive pure pursuit algorithm.- Collective motion of a swarm of simulated quadrotors using repulsion, attraction and orientation rules.- Design and simulation of a new lower exoskeleton for rehabilitation of patients with paraplegia.- Sensorial system for obtaining the angles of the human movement in the coronal and sagittal anatomical planes.
• (source: Nielsen Book Data)

The two-volume set LNAI 10061 and 10062 constitutes the proceedings of the 15th Mexican International Conference on Artificial Intelligence, MICAI 2016, held in Cancun, Mexico, in October 2016. The total of 86 papers presented in these two volumes was carefully reviewed and selected from 238 submissions. The contributions were organized in the following topical sections: Part I: natural language processing; social networks and opinion mining; fuzzy logic; time series analysis and forecasting; planning and scheduling; image processing and computer vision; robotics. Part II: general; reasoning and multi-agent systems; neural networks and deep learning; evolutionary algorithms; machine learning; classification and clustering; optimization; data mining; graph-based algorithms; and intelligent learning environments.
(source: Nielsen Book Data)

• Natural Language Processing.- Image Processing and Pattern Recognition.- Intelligent Applications and Robotics.
• (source: Nielsen Book Data)

The two-volume set LNAI 12468 and 12469 constitutes the proceedings of the 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, held in Mexico City, Mexico, in October 2020. The total of 77 papers presented in these two volumes was carefully reviewed and selected from 186 submissions. The contributions are organized in topical as follows: Part I: machine and deep learning, evolutionary and metaheuristic algorithms, and soft computing. Part II: natural language processing, image processing and pattern recognition, and intelligent applications and robotics.
(source: Nielsen Book Data)

• Extraction of Tumor Chunk Using Image Segmentation - Thresholding and HSV Color Space.- Predictive & Interactive IOT Diagnosis System with AI and ML Tools: Review.- Multi Agent Data Mining using Asymmetric AES Algorithm in Cloud Computing.- A Novel Architecture for a Two-Pass Opinion Mining Classifier.- QoS based Routing Algorithm for Software Defined Network using Ant Colony optimization.- An Integrated AdaBoost Algorithm for Down Syndrome Disease Recognition.- A Comprehensive Healthcare Model for a Smart Left Ventricle Assisting Device.- Moving Hand Segmentation from H.264 Compressed Sign Language Videos.- CNN-Based Real-time Indian Sign Language Recognition System.- Sarcasm Detection using Multiple Occurrences of Emojis and Hashtagged Words.- Multiclass Multiple Object Tracking.- Dimensionality Reduction in Hyperspectral Images using Auto-encoders.- Improved Registration of Infrared Images using EOH Descriptor.- Fine Grained Analysis of Bridging Social Capital with Triadic Analysis in a Co-Author Network.- Accumulation of Methodologies for Intensifying the Lifetime of the Wireless Sensor Networks.- A Multifactor Biometric Based User Authentication Protocol for IOT Networks.- Leveraging Topic Models with Novel Word Embeddings for Effective Document Clustering.- Survey on Access Control Mechanisms in Cloud Environments.- Sales Analysis and Performance of Super Store using Qlik Geo Analytics.- Assessment of Crop Rotation Using Multi Polarized Sentinel-1 Temporal SAR Data Over Parts of Kumaun Region of Uttarakhand.- Spatiotemporal and Delay Dynamics on a Prey Predator Fishery Model.- An Efficient Intrusion Detection System with Convolutional Neural Network.- Supervised Machine Learning Approach for Identification of Malicious URLs.- A Unified Framework for Stress Forecasting Using Machine Learning Algorithms.- Investigation and Analysis of Crop Maintenance Using IoT & KNN Techniques.- Enhancement of Anisotropic Diffusion Filtered Cardiac MR Images using Contrast based Fuzzy Approach.- Social Media Ecosystem: Review on Social Media Profile's Security and Introduce a New Approach.- An Investigation on Managing Patient Flow at Hospital Emergency Care Unit using Tree-Based Data Mining Techniques.- A Path Based Model for Link Prediction in Location Based Social Networks.- Predicting the Cost of Pre-owned Cars using Linear Regression Mechanisms in Machine Learning.- Bio-Inspired High Utility Item Framework based Particle Swarm Optimization Tree Algorithms for Mining High Utility Itemset.- On Atom-Bond Connectivity Invariant of Graphs.- Theoretical Design and Experimental Study for Urban Data Management using Energy-Saved IoT Big Data.- An Effective Approach for Security Attacks Based on Machine Learning Algorithms.- Class Based Associative Classification using Super Subset to Predict the By-Diseases in Thyroid Disorders.- Recommendation of Diet using Hybrid Collaborative Filtering Learning Methods.- Classification of Natural Images Using Machine Learning Classifiers on Graph Based Approaches.- Convolutional Neural Network Based Diagnosis of Alzheimer's Disease using Time Frequency features.- Humanly Evolving Robotics with Angular Sensor Control (HERASC).- Post-occupancy Evaluation of Building Facilities in a University Community using an Electronic Platform.- Internet of Things: Demystifying Smart Cities & Communities.- Comparative Analysis of Optimizations of Antecedents and Consequents of Fuzzy Inference System Rules Lists using Genetic Algorithm Operations.- Uses and Impact of Social Media on Work Performance of Low Literate People.- A Comparative Analysis on Rumor Microblogs Detection from Social Network Sites.- Smart Sprint Methodology for Financial Management System Development.- A Novel Infrared Image Segmentation Method for Identifying the Faults in the Systems.
• (source: Nielsen Book Data)

This book is a collection of outstanding papers presented at the 1st International Conference on Advances in Computational Intelligence and Informatics (ICACII 2019), organized by the Department of Computer Science & Engineering, Anurag Group of Institutions (AGI), Hyderabad, on 20-21 December 2019. It includes innovative ideas and new research findings in the field of Computational Intelligence and Informatics that will benefit researchers, scientists, technocrats, academics and engineers alike. The areas covered include high-performance systems, data science and analytics, computational intelligence and expert systems, cloud computing, computer networks and emerging technologies.
(source: Nielsen Book Data)

• 1. A quest for granular computing and logic processing / W. Pedrycz
• 2. Abstraction and linguistic analysis of conventional numerical dynamic systems / F.-Y. Wang
• 3. Slicing: a distributed learning approach / S.A. Eschrich and L.O. Hall
• 4. Marginal learning algorithms in statistical machine learning / Q. Tao and J. Wang
• 5. Constraint handling in genetic algorithm for optimization / G.G. Yen
• 6. Hybrid PSO-EA algorithm for training feedforward and recurrent neural networks for challenging problems / X. Cai, G.K. Venayagamoorthy, and D.C. Wunsch II
• 7. Modular wavelet-fuzzy networks / Y. Lin and F.-Y. Wang
• 8. Ant colony algorithms: the state-of-the-art / J. Zhang, J. Xu, and S. Zhang
• 9. Motif discoveries in DNA and protein sequences using self-organizing neural networks / D. Liu and X. Xiong
• 10. Computational complexities of combinatorial problems with applications to reverse engineering of biological networks / P. Berman, B. DasGupta, and E. Sontag
• 11. Advances in fingerprint recognition algorithms with application / J. Tian, X. Chen, Y. Zhang, and X. Yang
• 12. Adaptation and predictive control observed in neuromuscular control systems / J. He. 13. Robust adaptive approximation based backstepping via localized adaptive bonding / Y. Zhao and J.A. Farrell
• 14. Dynamically connected fuzzy single input rule modules and application to underactuated systems / J. Yi, N. Yubazaki, and K. Hirota.

Computational Intelligence (CI) is a recently emerging area in fundamental and applied research, exploiting a number of advanced information processing technologies that mainly embody neural networks, fuzzy logic and evolutionary computation. With a major concern to exploiting the tolerance for imperfection, uncertainty, and partial truth to achieve tractability, robustness and low solution cost, it becomes evident that composing methods of CI should be working concurrently rather than separately. It is this conviction that research on the synergism of CI paradigms has experienced significant growth in the last decade with some areas nearing maturity while many others remaining unresolved. This book systematically summarizes the latest findings and sheds light on the respective fields that might lead to future breakthroughs.

• Preface
• Modeling, Simulation & Optimization of Resources Management in Hospital Emergency Departments Using the Agent-Based Approach
• Computational Modeling In Male Reproduction
• Consumer-Centric Agent-Based Marketing Models: A How-to Approach
• Lattice-Boltzmann Simulation of Transport Phenomena in Agroindustrial Biosystems
• Agent-Based Models in Cancer Prevention Research
• Reflections on Agent-Based Modeling: Simulating Web Networks
• Model-Based Approaches to Diagnosis of Multi-Agent Plans: A Survey
• Modeling Behavior of Web Users as Agents with Reason & Sentiment
• Index.
• (source: Nielsen Book Data)

Agent-based models (ABM) and computational models simulate the actions and interactions of autonomous agents (both individual or collective entities such as organisations or groups) with a view to assessing their effects on the system as a whole. They combine elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. In this book, the authors discuss the modelling, simulation and optimisation of resources management in hospital emergency departments using the agent-based approach; computational modelling in male reproduction; consumer-centric agent-based marketing models; Lattice-Boltzmann simulation of transport phenomena in agroindustrial biosystems; agent-based models in cancer prevention research; model-based approaches to diagnosis of multi-agent plans; and modelling behaviour of web users as agents with reason and sentiment.
(source: Nielsen Book Data)

This book constitutes the refereed conference proceedings of the 14th International Conference on Advances in Computer Entertainment Technology, ACE 2017, held in London, UK, in December 2017. The 59 full papers presented were selected from a total of 229 submissions. ACE is by nature a multi-disciplinary conference, therefore attracting people across a wide spectrum of interests and disciplines including computer science, design, arts, sociology, anthropology, psychology, and marketing. The main goal is to stimulate discussion in the development of new and compelling entertainment computing and interactive art concepts and applications. The chapter 'eSport vs irlSport' is open access under a CC BY 4.0 license via link.springer.com.
(source: Nielsen Book Data)

• Monte-Carlo Tree Search and its enhancements
• Theoretical aspects and complexity.-Analysis of game characteristics
• Search algorithms
• Machine learning.

This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Advances in Computer Games, ACG 2015, held in Leiden, The Netherlands, in July 2015. The 22 revised full papers presented were carefully reviewed and selected from 34 submissions. The papers cover a wide range of topics such as Monte-Carlo Tree Search and its enhancements; theoretical aspects and complexity; analysis of game characteristics; search algorithms; and machine learning.

• Analytical Solution for "EinStein wurfelt nicht!" with One Stone.- Toward Solving EinStein wurfelt nicht!.- Analysis of Fred Horn's Gloop Puzzle.- Set Matching: An Enhancement of the Hales-Jewett Pairing Strategy Playing Hanabi Near-Optimally Optimal Play of the Farkle Dice GameDeep df-pn and its Efficient Implementations.- Improved Policy Networks for Computer Go.- Exploring Positional Linear Go.- Influence of Search Depth on Position Evaluation.- Evaluating Chess-like Games Using Generated Natural Language Descriptions.- Machine Learning in the Game of Breakthrough.- A Curling Agent Based on the Monte-Carlo Tree Search Considering the Similarity of the Best Action among Similar States.- Exploration Bonuses Based on Upper Confidence Bounds for Sparse Developing a 2048 Player with Backward Temporal Coherence Learning and Restart.- A Little Bit of Frustration Can Go a Long Way.- Automated Adaptation and Assessment in Serious Games: A Portable Tool for Supporting Learning.- An Analysis of Majority Voting in Homogeneous Groups for Checkers: Understanding Group Performance through Unbalance.- Yasol: An Open Source Solver for Quantified Mixed Integer Programs.
• (source: Nielsen Book Data)

• Analytical Solution for EinStein w⦥lt nicht!" with One Stone
• Toward Solving EinStein w⦥lt nicht!
• Analysis of Fred Horn's Gloop Puzzle
• Set Matching: An Enhancement of the Hales-Jewett Pairing Strategy Playing Hanabi Near-Optimally Optimal Play of the Farkle Dice GameDeep df-pn and its Efficient Implementations
• Improved Policy Networks for Computer Go
• Exploring Positional Linear Go
• Influence of Search Depth on Position Evaluation
• Evaluating Chess-like Games Using Generated Natural Language Descriptions
• Machine Learning in the Game of Breakthrough
• A Curling Agent Based on the Monte-Carlo Tree Search Considering the Similarity of the Best Action among Similar States
• Exploration Bonuses Based on Upper Confidence Bounds for Sparse Developing a 2048 Player with Backward Temporal Coherence Learning and Restart
• A Little Bit of Frustration Can Go a Long Way
• Automated Adaptation and Assessment in Serious Games: A Portable Tool for Supporting Learning
• An Analysis of Majority Voting in Homogeneous Groups for Checkers: Understanding Group Performance through Unbalance
• Yasol: An Open Source Solver for Quantified Mixed Integer Programs.

This book constitutes the refereed conference proceedings of the 15th International Conference, ACG 2017, held in Leiden, The Netherlands, in July 2017.The 19 revised full papers were selected from 23 submissions and cover a wide range of computer games. They are grouped in four classes according to the order of publication: games and puzzles, go and chess, machine learning and MCTS, and gaming.
(source: Nielsen Book Data)

• Improvement Model of Business Continuity Management on E-Learning / Gang Chen
• Using Computer Simulation to Improve Teaching and Learning Effectiveness on DC/DC Converter / LiPing Fan
• The Improved Diagonal-Matrix-Weight IMM Algorithm Based on LDU Factorization / Liang Gao, Jianping Xing, Fan Shi
• Performance Analysis of VCN and IVCN Localization Algorithms in WSN / Yang Liu, Jianping Xing, Hua Wu, Xiaoming Wu
• Impact Analysis of Environment Factors on Iterative Calculation of Secondary Grid Division (ICSGD) Localization Scheme for Wireless Sensor Networks / Yuxin Ren, Jianping Xing, Yang Liu, Can Sun
• Research on Data-Driven in Business Workflow System Design / ChuanSheng Zhou
• Research on XML Data-Driven Based Web Page Design / ChuanSheng Zhou
• Research and Application of Data-Driven in Web System Design / ChuanSheng Zhou
• Cogitation of Information Technology Construction in University Library / Ning Xu.

• Study on E-Commerce Application in Manufacturing Enterprises: A Case Study of Ruijie Network Co., Ltd. / Ling Tian, Xiaohong Wang, Liwei Li
• Discussion on Occupation Moral Education in Higher Vocational Colleges / Jushun Li
• Dynamic Analysis and System Design Based on Diluted Asymmetric Discrete-Time Hopfield Network / Li Tu, Chi Zhang
• Evaluation Method on the Scientific Research of Local University / Xiaomin Huang
• A Random Endogenous Economic Growth Model and Equilibrium Analysis / Zhongcheng Zhang
• Try to Talk about the Background of the Information Network Moral Construction / LiYan Yang
• Construction of Library Information Resources Depending on Internet Environment / LiYan Yang
• A General Fuzzified CMAC and Its Function Approximation / Zhipeng Shen, Chen Guo
• Discussion on Young Teachers' Teaching Method / Peng Qin, Yinghua Wang, Zhihai Qin
• Reform of Basic Computer Teaching in Universities and Its Measures under New Circumstances / Jianguo Yu, Shuanghong Liu.

• Exploration of the Building Model about Theme_Based Learning and Shared Community Based Python Add Django / Xiang Li, Mei Zhu, Xuan Zhan
• Principles and Methods in Teaching English with Multimedia / YiFei Zhu
• Research on the Difference of Attitudinal Changes between Ambivalent Consumers / Minxue Huang, Xiaoliang Feng, Chao Wang
• Study on Chinese Error Checking / Chongwen Wang, Bo Yuan
• Double-Sources Dijkstra Algorithm within Typical Urban Road Networks / Shiming Wang, Jianping Xing, Yong Wu
• Development and Practice of Knowledge Service Platform Based on DSpace / Lu Han, Yi Ding
• Application of Hopfield Network in Grayscale Image Recognition / Li Tu, Zhiping Liao, Chi Zhang
• Design of Mobile Learning-Recommendation Services Supporting Small-Screen Display Interfaces / Hong-Ren Chen
• The Effect of Perceived Organizational Support on Employee Work Engagement: A Case Study Analysis / TingJun Kou
• Web-Based Data Mining in Computer Culture Basic Course in College Using an Improved GA / Jianxin Bi.

• Teaching Mode Innovation and Practice of "Foundation of Computer Programming" / Yaqing Shi, Meijuan Wang, Cheng Hu
• MBR Phrase Scoring and Pruning for SMT / Nan Duan
• Application of Computer Aided Instruction (CAI) in English Teaching for Non-English-Major Postgraduates Based on Constructivism / Xueyao Chen
• Discussion on Digital Storytelling in Comprehensive Practice Courses Application / JiangYan Zheng, Hao Zhang, Liang Hong
• GCM Data Analysis Using Dimensionality Reduction / Zuoling Li, Guirong Weng
• Application of the BP Neural Network PID Algorithm in Heat Transfer Station Control / Yang Yu, Dongmei Yin
• The Influence of Human Resource Management Information System on Human Resource Management / Yan-Hong Yu
• The Empirical Study of Investment Opportunities in the Value-Relevance of Accounting Earnings / Yuanyang Fu, He Guo, Danping Wang
• On Software Professional Studio Construction in Higher Vocational Schools and Its Meaning / ShuYan Yu.

• The Research on Teaching Ideas of "Data Structure and Algorithm" in Non-computer Major / Zhao Wang
• Application-Oriented Intercultural Engineering Education in Automotive Engineering and Service / Yanfen Mao, Ming Chen, Hans Wiedmann
• Research of Private Courier Enterprise Based on E-Commerce / Bo Zhang
• The Considering about Chinese Enterprises to Establish E-Training Platform / Jianlin Qiu
• Empirical Study on Undergraduate Employability and Training Mechanism in Chinese Independent Institutes / Yong Chen
• Research and Practice on the Open Teaching for the Authentication of AutoCAD Senior Application Engineers / Qibing Wang
• The Application Research on Determination Method of Poor University Students Based on the Interval Density Cluster / Huang Zhenzhen
• Course Design and Practices of Teaching Undergraduate's Database System / Hongji Wang, Qingqin Yan
• The Impact of Use Context on Mobile Payment Acceptance: An Empirical Study in China / Luzhuang Wang, Yongzheng Yi.

• An Empirical Research on Correlation of Communication Companies' Compensation Gap with Enterprise's Performance / Luzhuang Wang, Hui Yu
• On the Principles of College Chinese Textbooks Compilation / Zhonghua Li
• The Secondary Hash MM Algorithm Based on Probability Factor / Yan Niu, Lele Huan
• An Optimal Model of Selecting Players for Mathematics Competition / Ying Wei
• Gestalt Psychology Theory Based Design of User's Experience on Online Trade Websites / Peng Bian, Nairen Zhang
• Exploration and Practice on Construction of Curriculum Group of Numerical Analysis / Datian Niu, Xuegang Yuan, Jia Jiao, Wei Zhao
• College Chinese and Humanities Education / Zhonghua Li
• Distributed Detecting and Real-Time Advertising System of Equipment Failure Based on MANET / Xia Qin, Tian Yi
• Strengthen Study Motivations of College Students via Learning Environment Improvement / Xin Zhang, Libo Huang.

• The Mediating Role of Entrepreneurial Efficiency on the Relationship between Human Resource Management and Corporate Entrepreneurship / ChunLi Liu, HongLi Wang
• M-Learning Activity Design for College English Courses / Lin Hu, Honghua Xu, Shuying Zhuang
• A Novel Approach to Online Image Education Resource Retrieval by Semantic Network and Interactive Filtering / Xianlin Peng, Ling Gao, Yuwen Ning
• A Study on the Establishment of Interpretation Teaching Model Based on Multi-media Network / JinBao Cai, Jing Xiao, Ying Lin
• Inter-domain Communication Mechanism Design and Implementation for High Performance / Tan Jie, Huang Wei
• The Study on College Library Electronic Resources Integration Based on Internet / Min Ren
• A Multimedia Based Natural Forest Park for Ecological Education / Zhen Liu, YanJie Chai
• Web-Based Interactive Animation for Children's Safety Education: From 2D to 3D / Zhen Liu, YanJie Chai
• The Evaluation on Ideological and Political Teachers' Competency / Yongfang Liu.

• The Application of Set Pair Analysis in College Ideological and Political Education / Yongfang Liu, Zhikai Yun
• The Improvement of Enterprise-Oriented Scale-Free Network Model / Yongxian Chen, Dichong Wu, Canlin Mo
• Research on Model of Ontology-Based Semantic Information Retrieval / Yu Cheng, Ying Xiong
• Research of ICE-Based Unified Identity Authentication Model / Yue Zhang, BingBing Xia
• Research of Key Technologies in Development in Thesis Management System / Huadong Wang
• The Localization Algorithm for Wireless Sensor Networks Based on Distance Clustering / Xiaohui Chen, Jinpeng Chen, Bangjun Lei
• Research and Analysis of the Social Access to College Sports Venues in Wuhan / Han Jiang
• Prediction of Zenith Tropospheric Delay Based on BP Neural Network / Yong Wang, Lihui Zhang, Jing Yang
• Advance in Scence Change-Based H.264 Rate Control Methods / Feifei Lu, Xiao Chen
• Optimizing the Network Topology in Gnutella P2P Networks / Jin Bo.

CSE2011 is an integrated conference concentration its focus on computer science and education. In the proceeding, you can learn much more knowledge about computer science and education of researchers from all around the world. The main role of the proceeding is to be used as an exchange pillar for researchers who are working in the mentioned fields. In order to meet the high quality of Springer, AISC series, the organization committee has made their efforts to do the following things. Firstly, poor quality paper has been refused after reviewing course by anonymous referee experts. Secondly, periodically review meetings have been held around the reviewers about five times for exchanging reviewing suggestions. Finally, the conference organizers had several preliminary sessions before the conference. Through efforts of different people and departments, the conference will be successful and fruitful.

• [I]. Advanced computing: A computer vision based approach for the analysis of acuteness of garbage
• The moderating effect of demographic factors acceptance virtual reality learning in developing countries in the Middle East
• Table tennis forehand and backhand stroke recognition based on neural network
• An effective vision based framework for the identification of tuberculosis in chest X-ray images
• User assisted clustering based key frame extraction
• A threat towards the neonatal mortality
• Digital marketing effectiveness using incrementality
• Explainable artificial intelligence for falls prediction
• Enhanced UML use case meta-model semantics from cognitive and utility perspectives
• The impact of mobile augmented reality design implementation on user engagement
• Intelligent mobile edge computing : a deep learning based approach
• Analysis of clustering algorithms in machine learning for healthcare data
• Securing mobile agents migration using tree parity machine with new tiny encryption algorithm
• An approach to waste segregation and management using convolutional neural networks
• Open source intelligence initiating efficient investigation and reliable web searching
• A neural network based hybrid model for depression detection in Twitter
• Unleashing the VEP tirplet count of virtually created 3D Bangla alphabet to integrate with augmented reality application
• A hybrid machine learning framework for prediction of software effect at the initial phase of software development
• Chronic disease prediction using deep learning
• A deep learning based method to discriminate between photorealistic computer generated images and photographic images
• Load balancing algorithm in cloud computing using mutatino based PSO algorithm
• Statistical model for qualitative grading of milled rice
• Measuring the effectiveness of software code review comments

• Proposed model for feature extraction for vehicle detection
• Analysis of feature selection methods for P2P botnet detection
• ELM-MVD : an extreme learning machine trained model for malware variants detection
• Real-time biometric system for security and surveillance using face recognition
• An effective block-chain based authentication technique for cloud based IoT
• Early detection of autism spectrum disorder in children using supervised machine learning
• Auto segmentation of lung in non-small cell lung cancer using deep convolution neural network
• Multiwavelet based unmanned aerial vehicle thermal image fusion for surveillance and target location
• Investigating movement detection in unedited camera footage
• Time series forecasting using machine learning
• Improving packet queues using selective epidemic routing protocol in opportunistic networks (SERPO)
• Heart disease prediction system using classification algorithms.

• [II]. Data sciences: Graph database and relational database performance comparison on a transportation network
• Optimizing creative allocations in digital marketing
• Big data analytics for customer relationship management : a systematic review and research agenda
• Agricultural field analysis using satellite surface reflectance data and machine learning technique
• Sponsored data connectivity at the network edge
• Dynamic bidding with contextual bid decision trees in digital advertisement
• MOOC performance prediction by deep learning from raw clickstream data
• UDHR : unified decentralized health repository
• Mining massive time series data : with dimensionality reduction techniques
• Comparative analysis of data mining techniques to predict heart disease for diabetic patients.

This book constitutes the post-conference proceedings of the 4th International Conference on Advances in Computing and Data Sciences, ICACDS 2020, held in Valletta, Malta, in April 2020.* The 46 full papers were carefully reviewed and selected from 354 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations. * The conference was held virtually due to the COVID-19 pandemic.
(source: Nielsen Book Data)

• Requirements analysis.-Business analysis:- Ambient Assisted Living:- Computing for Healthcare:- Data Science:-Data Analysis.- Business Intelligence.- Ontology.- Software Quality.- Model Quality.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of five workshops and a symposium, held at the 36th International Conference on Conceptual Modeling, ER 2017, in Valencia, Spain in November 2017. The 21 revised full papers were carefully reviewed and selected out of 47 submissions to the following events: AHA 2017 - 3rd International Workshop on Modeling for Ambient Assistance and Healthy Ageing MoBiD 2017 - 6th International Workshop on Modeling and Management of Big Data MREBA 2017 - 4th International Workshop on Conceptual Modeling in Requirements and Business Analysis OntoCom 2017 - 5th International Workshop on Ontologies and Conceptual Modeling QMMQ 2017 - 4th Workshop on Quality of Models and Models of Quality.
(source: Nielsen Book Data)

• Secure messaging.- Implementations and physical attacks prevention.- Authenticated and format-preserving encryption.- Cryptoanalysis.- Searchable encryption and differential privacy.- Secret sharing.- Encryption.- Symmetric cryptography.- Proofs of work and proofs of Stake.- Proof tools.- Key exchange.- Symmetric cryptoanalysis.- Hashes and random oracles.- Trapdoor functions.- Round optimal MPC.- Foundations.- Lattices.- Lattice-based ZK.- Efficient MPC.- Quantum cryptography.- MPC.- Garbling.- Information-theoretic MPC.- Oblivious transfer.- Non-malleable codes.- Zero knowledge.- Obfuscation.
• (source: Nielsen Book Data)

The three volume-set, LNCS 10991, LNCS 10992, and LNCS 10993, constitutes the refereed proceedings of the 38th Annual International Cryptology Conference, CRYPTO 2018, held in Santa Barbara, CA, USA, in August 2018. The 79 revised full papers presented were carefully reviewed and selected from 351 submissions. The papers are organized in the following topical sections: secure messaging; implementations and physical attacks prevention; authenticated and format-preserving encryption; cryptoanalysis; searchable encryption and differential privacy; secret sharing; encryption; symmetric cryptography; proofs of work and proofs of stake; proof tools; key exchange; symmetric cryptoanalysis; hashes and random oracles; trapdoor functions; round optimal MPC; foundations; lattices; lattice-based ZK; efficient MPC; quantum cryptography; MPC; garbling; information-theoretic MPC; oblivious transfer; non-malleable codes; zero knowledge; and obfuscation.
(source: Nielsen Book Data)

The three volumes LNCS 10820, 10821, and 10822 constitute the thoroughly refereed proceedings of the 37th Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2018, held in Tel Aviv, Israel, in April/May 2018. The 69 full papers presented were carefully reviewed and selected from 294 submissions. The papers are organized into the following topical sections: foundations; lattices; random oracle model; fully homomorphic encryption; permutations; galois counter mode; attribute-based encryption; secret sharing; blockchain; multi-collision resistance; signatures; private simultaneous messages; masking; theoretical multiparty computation; obfuscation; symmetric cryptanalysis; zero-knowledge; implementing multiparty computation; non-interactive zero-knowledge; anonymous communication; isogeny; leakage; key exchange; quantum; non-malleable codes; and provable symmetric cryptography. .
(source: Nielsen Book Data)

The three volumes LNCS 10820, 10821, and 10822 constitute the thoroughly refereed proceedings of the 37th Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2018, held in Tel Aviv, Israel, in April/May 2018. The 69 full papers presented were carefully reviewed and selected from 294 submissions. The papers are organized into the following topical sections: foundations; lattices; random oracle model; fully homomorphic encryption; permutations; galois counter mode; attribute-based encryption; secret sharing; blockchain; multi-collision resistance; signatures; private simultaneous messages; masking; theoretical multiparty computation; obfuscation; symmetric cryptanalysis; zero-knowledge; implementing multiparty computation; non-interactive zero-knowledge; anonymous communication; isogeny; leakage; key exchange; quantum; non-malleable codes; and provable symmetric cyptography. .
(source: Nielsen Book Data)

The three volumes LNCS 10820, 10821, and 10822 constitute the thoroughly refereed proceedings of the 37th Annual International Conference on the Theory and Applications of Cryptographic Techniques, EUROCRYPT 2018, held in Tel Aviv, Israel, in April/May 2018. The 69 full papers presented were carefully reviewed and selected from 294 submissions. The papers are organized into the following topical sections: foundations; lattices; random oracle model; fully homomorphic encryption; permutations; galois counter mode; attribute-based encryption; secret sharing; blockchain; multi-collision resistance; signatures; private simultaneous messages; masking; theoretical multiparty computation; obfuscation; symmetric cryptanalysis; zero-knowledge; implementing multiparty computation; non-interactive zero-knowledge; anonymous communication; isogeny; leakage; key exchange; quantum; non-malleable codes; and provable symmetric cyptography. .
(source: Nielsen Book Data)

• Internet of Things, Industry and Blockchain, and Cryptology
• Digital Forensics and Surveillance, Botnet and Malware, and DDoS and Intrusion Detection/Prevention
• Ambient Cloud and Edge Computing, Wireless and Cellular Communication.

This book presents refereed proceedings of the First International Conference on Advances in Cyber Security, ACeS 2019, held in Penang, Malaysia, in July-August 2019. The 25 full papers and 1 short paper were carefully reviewed and selected from 87 submissions. The papers are organized in topical sections on internet of things, industry and blockchain, and cryptology; digital forensics and surveillance, botnet and malware, and DDoS and intrusion detection/prevention; ambient cloud and edge computing, wireless and cellular communication.