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This book presents the proceedings of the 11th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence, ICSCCW-2021, held in Antalya, Turkey, on August 23-24, 2021. The general scope of the book covers uncertain computation, decision making under imperfect information, neuro-fuzzy approaches, natural language processing, and other areas. The topics of the papers include theory and application of soft computing, computing with words, image processing with soft computing, intelligent control, machine learning, fuzzy logic in data mining, soft computing in business, economics, engineering, material sciences, biomedical engineering, and health care. This book is a useful guide for academics, practitioners, and graduates in fields of soft computing and computing with words. It allows for increasing of interest in development and applying of these paradigms in various real-life fields.

• Detection of Denial of Service Attack using Deep Learning and Genetic Algorithm.- Fake Profile Detection and Stalking Prediction on Facebook.- Moving skills- a contributing factor in developmental delay.- Wind speed forecasting for India using machine learning algorithms.- A Comparative Study of Supervised Learning Techniques for Remote Sensing Image Classification.- Postal Service Shop Floor - Facility Layout Evaluation and Selection using Fuzzy AHP Method.
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This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2020), organized online. The book is divided into two volumes and offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.
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• Machine and Deep Learning.- Image Processing and Pattern Recognition.- Evolutionary and Metaheuristic Algorithms.- Natural Language Processing.- Intelligent Applications and Robotics.
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The two-volume set LNAI 13067 and 13068 constitutes the proceedings of the 20th Mexican International Conference on Artificial Intelligence, MICAI 2021, held in Mexico City, Mexico, in October 2021.The total of 58 papers presented in these two volumes was carefully reviewed and selected from 129 submissions. The first volume, Advances in Computational Intelligence, contains 30 papers structured into three sections: - Machine and Deep Learning - Image Processing and Pattern Recognition - Evolutionary and Metaheuristic Algorithms The second volume, Advances in Soft Computing, contains 28 papers structured into two sections: - Natural Language Processing - Intelligent Applications and Robotics.
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• Theory and Methods.- Systems and Applications. .
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This book constitutes the refereed proceedings of the Second International Conference on Soft Computing and its Engineering Applications, icSoftComp 2020, held in Changa, India, in December 2020. Due to the COVID-19 pandemic the conference was held online. The 24 full papers and 4 short papers presented were carefully reviewed and selected from 252 submissions. The papers present recent research on theory and applications in fuzzy computing, neuro computing, and evolutionary computing.
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This book presents the proceedings of the 8th International Workshop on Soft Computing Applications, SOFA 2018, held on 13-15 September 2018 in Arad, Romania. The workshop was organized by Aurel Vlaicu University of Arad, in conjunction with the Institute of Computer Science, Iasi Branch of the Romanian Academy, IEEE Romanian Section, Romanian Society of Control Engineering and Technical Informatics - Arad Section, General Association of Engineers in Romania - Arad Section and BTM Resources Arad. The papers included in these proceedings, published post-conference, cover the research including Knowledge-Based Technologies for Web Applications, Cloud Computing, Security Algorithms and Computer Networks, Business Process Management, Computational Intelligence in Education and Modelling and Applications in Textiles and many other areas related to the Soft Computing. The book is directed to professors, researchers, and graduate students in area of soft computing techniques and applications.
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• Object Detection from the Seabed Imaging Data Using Soft Computing Techniques.- Enhanced Voltage Regulation of Sixteen Bus Micro Grid System Using Sliding Mode Controller.- Comparitive Review of MAC Architectures.- Proposal of ASLR for Voice Disorders.- Methodological Analysis with Informative Science in Bioinformatics.- Effect of Laser Pulse in Modified TPL GN-Thermoelastic Transversely Isotropic Euler Bernoulli Nanobeam.- Designing Techniques for 4G LTE Networks With QoS-Aware RD Network Based on Radio Resource Organization Approach.- Enhancing Software Quality Assurance by Using Knowledge Discovery and Bug Prediction Techniques.- Design and Analysis of thin Micro-Mechanical Suspended Dielectric RF MEMS Switch for 5G and IoT Applications.- Design and Development of Stemmer of Dogri Using Unsupervised Learning.- Credit Card Fraud Detection Techniques: A Review.- An Integrated Approach of Conventional and Deep Learning Method for Underwater Image Enhancement.- A Survey on Plant Disease Detection Methods For Building a Robust Plant Disease Detection System.- Troubleshooting Fluctuations in Power System & Network Harmonic Analysis.
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This book presents high-quality research papers presented at the International Conference on Soft Computing for Intelligent Systems (SCIS 2020), held during 18-20 December 2020 at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, Haryana, India. The book encompasses all branches of artificial intelligence, computational sciences and machine learning which is based on computation at some level such as AI-based Internet of things, sensor networks, robotics, intelligent diabetic retinopathy, intelligent cancer genes analysis using computer vision, evolutionary algorithms, fuzzy systems, medical automatic identification intelligence system and applications in agriculture, health care, smart grid and instrumentation systems. The book is helpful for educators, researchers and developers working in the area of recent advances and upcoming technologies utilizing computational sciences in signal processing, imaging, computing, instrumentation, artificial intelligence and their applications. .
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• Swarm Programming using Multi-Verse Optimizer.- Muzzle Pattern based Cattle Identification Using Generative Adversarial Networks.- Diverse Sports Video Classification Using Large Space MPEG Features.- An Intelligent Method for Plastic Money Fraud Detection using Isolation Forest Classifier.- Mixed Differential Evolution and Genetic Algorithm Hybridization for Solving Global Optimization Problems.- Energy Neutral Classroom.
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This two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This international conference is a joint technical collaboration of Soft Computing Research Society and Indian Institute of Technology Indore. The book presents the latest achievements and innovations in the interdisciplinary areas of soft computing. It brings together the researchers, engineers and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial immune system, artificial neural network, genetic algorithm, genetic programming and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.
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• A deep semi-supervised approach for multi-label land-cover classification under scarcity of labelled images.- Role of individual samples in Modified Possibilistic c-Means classifier for handling heterogeneity within mustard crop.- Specially Structured Flow Shop Scheduling Models with processing times as Trapezoidal Fuzzy Numbers to optimize Waiting time of Jobs.- Potential Fishing Zone Characterization in the Indian Ocean by Machine Learning Approach.- A novel method to optimize interval length for intuitionistic fuzzy time series.- Low Altitude Unmanned Aerial Vehicle For Real Time Green House Plant Disease Monitoring Using Convolutional Neural Network.
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This two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This international conference is a joint technical collaboration of Soft Computing Research Society and Indian Institute of Technology Indore. The book presents the latest achievements and innovations in the interdisciplinary areas of soft computing. It brings together the researchers, engineers and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial immune system, artificial neural network, genetic algorithm, genetic programming and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.
(source: Nielsen Book Data)

• Scene Character Recognition with Morphological Filtering and HOG Features.- Rice Disease Detection and Monitoring Using CNN and AR Enabled Application.- Air Quality Prediction Using Artificial Neural Network.- Crime Rate Prediction Using Machine Learning and Data Mining.- Fraud Rate Prediction in E-Banking Systems Using Machine Learning and Data Mining: A Perspective in Bangladesh.- Novel User Preference Recommender System Based on Twitter Profile Analysis.- Cycloconverter-fed Capacitor-Start-Capacitor-Run Induction Motor Drive: Simulation Analysis.- Simulation and Analysis of Seven-Level Voltage Source Inverter.- Study of Protection, Fault and Condition Monitoring of Induction Motor.- Aerodynamic Modelling and Analysis of Wind Turbine.
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Focusing on soft computing techniques and application in various engineering research domains, this book presents the state-of-the-art outcomes from ongoing research works being conducted in various research laboratories and educational institutions. The included research works deal with estimated models and give resolutions to complex real-life issues. In the field of evolutionary computing and other domains of applications, such as, data mining and fuzzy logic, soft computing techniques play an incomparable role, where it successfully handles contemporary computationally intensive and complex problems that have usually appeared to be inflexible to traditional mathematical methods. Comprising the concepts and applications of soft computing with other emerging research domains, this book cherishes varieties of modern applications in the fields of natural language processing, image processing, biomedical engineering, communication, control systems, circuit design etc. .
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• A study on the Effect of Optimal Control Strategies: An SIR Model with Delayed Logistic Growth
• Emperor Penguin Optimized Clustering for Improved Multilevel Hierarchical Routing in Wireless Sensor Networks
• A Collaborative Filtering based Recommendation System for Preliminary Detection of COVID-19
• Frequencies of nonuniform triangular plate with two-dimensional parabolic temperature
• Machine Learning in Finance: Towards Online Prediction of Loan Defaults Using Sequential Data with LSTMs.

This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2020), organized online. The book is divided into two volumes and offers valuable insights into soft computing for teachers and researchers alike; the book will inspire further research in this dynamic field.

This book presents the proceedings of the 10th Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions, ICSCCW 2019, held in Prague, Czech Republic, on August 27-28, 2019. It includes contributions from diverse areas of soft computing and computing with words, such as uncertain computation, decision-making under imperfect information, neuro-fuzzy approaches, deep learning, natural language processing, and others. The topics of the papers include theory and applications of soft computing, information granulation, computing with words, computing with perceptions, image processing with soft computing, probabilistic reasoning, intelligent control, machine learning, fuzzy logic in data analytics and data mining, evolutionary computing, chaotic systems, soft computing in business, economics and finance, fuzzy logic and soft computing in earth sciences, fuzzy logic and soft computing in engineering, fuzzy logic and soft computing in material sciences, soft computing in medicine, biomedical engineering, and pharmaceutical sciences. Showcasing new ideas in the field of theories of soft computing and computing with words and their applications in economics, business, industry, education, medicine, earth sciences, and other fields, it promotes the development and implementation of these paradigms in various real-world contexts. This book is a useful guide for academics, practitioners and graduates.

• Self-Taught Learning: Image Classification Using Stacked Autoencoders.- Performance analysis of Whale Optimization Algorithm Based on Strategy Parameter.- Comparison of PSO and Sequential Search algorithms for improvisation of entropy based ear localization.- An upgraded differential evolution via memory based mechanism for economic dispatch.- Some Applications of Generalized Fuzzy gamma*-Closed Sets.-Multi-Headed Self-Attention based Hierarchical Model for Extractive Summarization.
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This book features the outcomes of the 9th International Conference on Soft Computing for Problem Solving, SocProS 2019, which brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to identify potential future directions. The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in areas such as algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that cannot easily be solved using traditional methods. .
(source: Nielsen Book Data)

• Exponential Adaptive Strategy in Spider Monkey Optimization Algorithm.- Development of Fuzzy Knowledge Based System for Water Quality Assessment in River Ganga.- A Hybrid Framework for Fire Outbreak Detection Based on Interval Type-2 Fuzzy Logic and Flower Pollination Algorithm.- Using convolutional neural networks to predict colon cancer patients survival.- An Array P system Based on a Variant of Pure 2D Context-free Grammars.- Predictions of weekly slope movements using moving-average and neural-network methods: A case-study in Chamoli, India.
• (source: Nielsen Book Data)

This book features the outcomes of the 9th International Conference on Soft Computing for Problem Solving, SocProS 2019, which brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to identify potential future directions. The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in areas such as algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that cannot easily be solved using traditional methods. .
(source: Nielsen Book Data)

• Soft Computing Techniques for Time Series Analysis.- Soft Computing and Fuzy Logic in Biometrics.- Fuzzy Applications Theory and Fuzzy Control.- Bussiness Process Management.- Methods and Applications in Electrical Engineering.
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These volumes constitute the Proceedings of the 6th International Workshop on Soft Computing Applications, or SOFA 2014, held on 24-26 July 2014 in Timisoara, Romania. This edition was organized by the University of Belgrade, Serbia in conjunction with Romanian Society of Control Engineering and Technical Informatics (SRAIT) - Arad Section, The General Association of Engineers in Romania - Arad Section, Institute of Computer Science, Iasi Branch of the Romanian Academy and IEEE Romanian Section. The Soft Computing concept was introduced by Lotfi Zadeh in 1991 and serves to highlight the emergence of computing methodologies in which the accent is on exploiting the tolerance for imprecision and uncertainty to achieve tractability, robustness and low solution cost. Soft computing facilitates the use of fuzzy logic, neurocomputing, evolutionary computing and probabilistic computing in combination, leading to the concept of hybrid intelligent systems. The combination of such intelligent systems tools and a large number of applications introduce a need for a synergy of scientific and technological disciplines in order to show the great potential of Soft Computing in all domains. The conference papers included in these proceedings, published post conference, were grouped into the following area of research: * Image, Text and Signal Processing * Intelligent Transportation* Modeling and Applications* Biomedical Applications"/ul>Neural Network and Applications* Knowledge-Based Technologies for Web Applications, Cloud Computing, Security, Algorithms and Computer Networks* Knowledge-Based Technologies* Soft Computing Techniques for Time Series Analysis* Soft Computing and Fuzzy Logic in Biometrics* Fuzzy Applications Theory and Fuzzy Control* Business Process Management* Methods and Applications in Electrical Engineering The volumes provide useful information to professors, researchers and graduated students in area of soft computing techniques and applications, as they report new research work on challenging issues.
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• Cognitive-inspired computing fundamentals.- Cognitive-inspired computing systems.- Cognitive-inspired computing with big data.- Cognitive-inspired intelligent interaction.- AI-assisted cognitive computing approaches.- Brain analysis for cognitive-inspired computing.- Internet of cognitive Things.- Cognitive environment, sensing and data.- Cognitive robots and agents.- Security issue in cognitive-inspired computing.- Test-bed, prototype implementation and applications.
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This book contains papers presented at the International Conference on Cognitive based Information Processing and Applications (CIPA) held during August 21, 2021, online conference (since COVID 19), which is divided into a 2-volume book. The papers in the second volume represent the various technological advancements in network information processing, graphics and image processing, medical care, machine learning, smart cities. It caters to postgraduate students, researchers, and practitioners specializing and working in the area of cognitive-inspired computing and information processing.
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• Performance Quantification of Search Operators in Hybrid Harmony Search Algorithms
• Harmony Search Algorithms for Optimizing Extreme Learning Machines
• Freestyle Rap Harmony Search (FRHS) for Engineering Problem Optimization
• Improvement of Voltage Profile and Loss Reduction based on Optimal Placement and Sizing of Renewable Distributed Generations using 4-Rule Harmony Search Algorithm
• Control of a jacket platform under wave load using ATMD and optimization by HSA
• Hybrid Harmony Search Algorithm for Optimum Design of Vibration Absorber System for Adjacent Buildings
• The Effect of Initial Values on Metaheuristic-based Optimum Design of Tuned Mass Dampers
• The Comparison of Classical and Artificial Neural Network-based Formulations for Tuned Mass Damper Optimization.

This book covers different aspects of real-world applications of optimization algorithms. It provides insights from the Sixth International Conference on Harmony Search, Soft Computing and Applications held at Istanbul University, Turkey, in July 2020. Harmony Search (HS) is one of the most popular metaheuristic algorithms, developed in 2001 by Prof. Joong Hoon Kim and Prof. Zong Woo Geem, that mimics the improvisation process of jazz musicians to seek the best harmony. The book consists of research articles on novel and newly proposed optimization algorithms; the theoretical study of nature-inspired optimization algorithms; numerically established results of nature-inspired optimization algorithms; and real-world applications of optimization algorithms and synthetic benchmarking of optimization algorithms.

• Improved Gray-Neural Network Integrated Forecasting Model Applied in Complex Forecast / Geyu Huang, Zhiming Zhang, and Jun Zhang
• Design of AGV Positioning Navigation Control System Based on Vision and RFID / Jianze Liu, Yan Wang, Jun Sheng, Yangcheng Zhang, et.al.
• Improved Image Retrieval Algorithm of GoogLeNet Neural Network / Jun Zhang, Yong Li, and Zixian Zeng
• A Review of Face Anti-spoofing and Its Applications in China / Bizhu Wu, Meng Pan, and Yonghe Zhang
• An Event Based Detection of Internal Threat to Information System / Zheng Li and Kun Liu
• Loop Closure Detection for Visual SLAM Using Simplified Convolution Neural Network / Bingbing Xu, Jinfu Yang, Mingai Li, Suishuo Wu, and Yi Shan
• Development of Optimal Pump Operation Method for Urban Drainage Systems / Yoon Kwon Hwang, Soon Ho Kwon, Eui Hoon Lee, and Joong Hoon Kim
• Parameter Estimation of Storm Water Management Model with Sewer Level Data in Urban Watershed / Oseong Lim, Young Hwan Choi, Do Guen Yoo, and Joong Hoon Kim
• Multi-objective Parameter Calibration of a Hydrological Model Using Harmony Search Algorithm / Soon Ho Kwon, Young Hwan Choi, Donghwi Jung, and Joong Hoon Kim
• Application of Artificial Neural Network for Cyber-Attack Detection in Water Distribution Systems as Cyber Physical Systems / Kyoung Won Min, Young Hwan Choi, et.al.
• Multi-objective Jaya Algorithm for Solving Constrained Multi-objective Optimization Problems / Y. Ramu Naidu, A.K. Ojha, and V. Susheela Devi
• DSP-Based Implementation of a Real-Time Sound Field Visualization System Using SONAH Algorithm / Zhe Zhang, Ming Wu, and Jun Yang
• The Economic Impact Analysis of the 1994 Northridge Earthquake by Deep Learning Tools / Zhengru Tao, Lu Han, and Kai BaiSWT-ARMA Modeling of Shenzhen A-Share Highest Composite Stock Price Index / Jingyi WuThe Application of Text Categorization Technology in Adaptive Learning System for Interpretation of Figures / Weibo Huang, Zhenpeng He, and Xiaodan Li
• A Method for Extracting and Simplifying the Stray Capacitance Matrix of the Dry-Type Smoothing Reactor / Tingting Li, Shaoyan Gong, Feng Ji, Chong Gao, and Jianhui Zhou
• Coordinated, Efficient and Optimized Crowd Evacuation in Urban Complexes / Huabin Feng, Shiyang Qiu, Peng Xu, Shuaifei Song, Wei Zheng, and Hengchang Liu
• The Application of Big Data to Improve Pronunciation and Intonation Evaluation in Foreign Language Learning / Jin-Wei Dong, Yan-Jun Liao, Xiao-Dan Li, and Wei-bo Huang
• Serviceability Assessment Model Based on Pressure Driven Analysis for Water Distribution Networks Under Seismic Events / Do Guen Yoo, Chan Wook Lee, et.al.
• Research on an Evaluation of the Work Suitability in the New First-Tier Cities / Li Ma, Shi Liu, Longhai Ai, and Yang Sun
• Optimal Path Planning in Environments with Static Obstacles by Harmony Search Algorithm / Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, and Milan Tuba
• Online Feature Selection via Deep Reconstruction Network / Johan Holmberg and Ning Xiong
• 4-Rule Harmony Search Algorithm for Solving Computationally Expensive Optimization Test Problems / Ali Sadollah, Joong Hoon Kim, et.al.
• An Empirical Case Study for the Application of Agricultural Product Traceability System / Yu Chuan Liu and Hong Mei Gao
• Study on the Coordinating Policy of Multi-echelon Inventory System / Tao Yang
• Remote Intelligent Support Architecture for Ground Equipment Control in Space Launch Sites / Litian Xiao, Mengyuan Li, Kewen Hou, et.al.
• Correlation Analysis and Body-Weight Estimation of YakTraits in Yushu Prefecture / Xiaofeng Qin, Yu-an Zhang, et.al
• The Macroeconomic Influence of China Futures market: a GARCH-MIDAS approach / Ruobing Liu, Jianhui Yang, and Chuanyang Ruan.

This book discusses various aspects of real-world applications of optimization algorithms, presenting insights from the 5th International Conference on Harmony Search, Soft Computing and Applications, held at Kunming, China on July 20-22, 2019. The book focuses on the recent advances in soft computing techniques such as harmony search, PSO and DE and their application to solve engineering problems. Presenting research on various real-world engineering problems concerning crowd evacuation strategies, adaptive learning systems, economic impact analysis, cyber-attack detection, urban drainage systems, water management models, feature selection and inventory systems, it is a valuable resource for researchers wanting a state-of-the-art overview of the latest advances in soft computing and related areas.
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• A comparison of techniques for Virtual Concept Drift detection.- Dimensional reduction on an intelligent model for efficiency improvement of switching modes detection.- Performance and Explainability of Reservoir Computing Models for Industrial Prognosis.- Towards adaptive gamification in small online communities.- LSTM vs CNN in real ship trajectory classification.- Medical Catheters Grasping Point Detection with Quality Control.
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This book of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2021 conference held in the beautiful and historic city of Bilbao (Spain), in September 2021. Soft computing represents a collection or set of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a through peer-review process, the 16th SOCO 2021 International Program Committee selected 78 papers which are published in these conference proceedings and represents an acceptance rate of 48%. In this relevant edition, a special emphasis is put on the organization of special sessions. Seven special sessions are organized related to relevant topics as follows: applications of machine learning in computer vision; soft computing applied to autonomous robots and renewable energy systems; optimization, modeling, and control by soft computing techniques (OMCS); challenges and new approaches toward artificial intelligence deployments in real-world scenarios; time series forecasting in industrial and environmental applications (TSF); soft computing methods in manufacturing and management systems and applied machine learning. The selection of papers was extremely rigorous in order to maintain the high quality of the conference, and we would like to thank the members of the program committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference, and the SOCO conference would not exist without their help.
(source: Nielsen Book Data)

• 1 A Hybrid Algorithm for Document Clustering Using Optimized Kernel Matrix and Unsupervised ConstraintsSiamala Devi S., Deva Priya M, Anitha Rajakumari P., Kanmani R., Poorani G., Padmavathi S., Niveditha G. : : :
• 2 A Multi-Objective Optimal Trajectory Planning for Autonomous Vehicles using Dragonfly AlgorithmSyama R, Mala C
• 3 A Novel Coherent Architecture for Traffic Signal Management in Internet of ThingsUmaa Mageswari S, Mala C, Santhanavijayan A
• 4 Color-to-Grayscale conversion for images with non-uniform chromatic distribution using Multiple RegressionParamasivam ME, Sabeenian RS, Dinesh PM, Anand R, Eldho Paul
• 5 Concurrent Spatial Color Information Processing for Video Based Vehicle Detection ApplicationsManipriya Sankaranarayanan, Mala C, Samson Mathew
• 6 Efficient Routing Strategies For Energy Management in Wireless Sensor NetworkRaviteja Kocherla, Ramesh Vatambeti
• 7 Emperor Penguin Optimization Algorithm and M-Treebased multi-constraint Mul-ticast Ad hoc On demand Distance Vector Routing Protocol for MANETs Deva Priya M, Rajkumar M., Karthik S., Christy Jeba Malar A., Kanmani R, Sandhya G., Anitha Rajakumari P.
• 8 Fog Assisted Real-Time Coronary Heart Disease Risk Detection in IoT Based Healthcare SystemJUBAIR AHMED L, ANISHFATHIMA B, GOKULAVASAN B, MAHABOOB M
• 9 Food Demand Forecast For Online Food Delivery Service Using CatBoost ModelParvathi R, Pattabiraman V, Ansh pujar
• 10 GLCM Feature Based Texture image classification using Support vector MachineAnand R, Shanthi T, Paramasivam M E, Sabeenian RS, Manju K
• 11 Improved Rider Optimization Algorithm-based Link Aware Fault Detection (IROA-LAFD) scheme for securing Mobile Ad Hoc Networks (MANETs)Sengathir Janakiraman, Deva Priya M, Aishwaryalakshmi G., Suganya T., Sam Peter S., Karthik S., Christy Jeba Malar A.
• 12 Media Access Protocol for Wireless Sensor Network using Active Reception Scheme Based Energy Efficient TechniqueAnushree Goud, Dr. Bindu Garg
• 13 Predictive Crime Analytics Using Linear Regression and K meansChemmalar Selvi G, Preeti Rachel Jasper
• 14 Reorganizing Virtual Machines as Docker Containers for Efficient Data CentersVasantha Kumari N, Arulmurugan Ramu
• 15 Secured On Demand Adaptive Routing protocol for Data Transmission in IoT EnvironmentP.Deepavathi -, Dr.C.Mala
• 16 Service Measurement Index based Cloud Service Selection using Order Preference by Similarity to Ideal Solution based on Intuitionistic Fuzzy ValuesThasni T, C Kalaiarasan, K A Venkatesh
• 17 Similarity analytics for semantic text using Natural Language ProcessingKarthiga M, sountharrajan S, Suganya E, Bazila Banu A, Sankarananth S, Sathish Kumar B Author Index.
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This book features the proceedings of The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2020), which took place 18 - 19 December 2020. The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.
(source: Nielsen Book Data)

• Application of the Optimal Lntegrated Medical Intelligence System to Strengthen Physical Lmmunity.- Simultaneous Detection of Optic Disc and Macular Concave Center Using Artificial Intelligence Target Detection Algorithms.- Cuckoo Optimization Algorithm Visual Positioning System Based on Particle Swarm Algorithm.- An Improved Lion Swarm Algorithm Based on Reinforcement Learning.- Research on Intelligent Testing Method of Automobiles Fuel Consumption Based on Ultrasonic Technology.- Discovering the Coopetition Relationship Between Agents Using Clustering.- An Oxygen Forecasting Strategy for Waterless Live Fish Transportation Based on IPSO-GRU Method.- Damping Effect of A Controlled Nonlinear Meso-scale Beam under Periodic Excitation.- Weighted Histogram Block Detection Algorithm for Digital Trunking Terminal.- A GPU-based Energy Saving Algorithm for Smart Buildings.- Dynamic Event-Triggered Control of Networked Control Systems under Sensor and Actuator Faults.
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This book presents select proceedings of the International Conference on Intelligent Automation and Soft Computing (IASC2021). Various topics covered in this book include AI algorithm, neural networks, pattern recognition, machine learning, blockchain technology, system engineering, computer vision and image processing, adaptive control and robotics, big data and data processing, networking and security. The book is a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, automation, and soft computing. .
(source: Nielsen Book Data)