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• Prediction of Polycystic Ovary Syndrome (PCOS) using Optimized Machine Learning Classifiers
• Literature Review: A Comparative Study of Software Defect Prediction Techniques
• Crop Recommendation using Machine Learning Algorithms and Soil Attributes Data
• Application of Machine Learning Models to Improve the Accuracy of Earnings Management Prediction
• Ensemble of Parametrized Quantum LSTM Neural Networks for Multimodal Stress Monitoring
• Evolutionary Algorithms for Marine Dynamical Systems: Towards Sustainable Renewable Energy Harvesting from Oshore Environment
• Comparison of Different Swarm Based Nature Inspired Algorithm for solution of Optimization Problem
• Assessment of Firms Performance by Employing Text Mining Techniques
• Decisions Prediction Techniques using Language Processing and Learning Algorithms
• Machine Learning-based Tool to Classify Online Toxic Comments.

This book gathers outstanding research papers presented in the 3rd International Conference on Artificial Intelligence: Advances and Application (ICAIAA 2022), held in Poornima College of Engineering, Jaipur, India, during April 2324, 2022. This book covers research works carried out by various students such as bachelor, master and doctoral scholars, faculty and industry persons in the area of artificial intelligence, machine learning, deep learning applications in health care, agriculture, and business, security. It also covers research in core concepts of computer networks, intelligent system design and deployment, real-time systems, WSN, sensors and sensor nodes, SDN, NFV, etc.

• Chapter 1. Process parameters optimization by Taguchi method and Whale optimization algorithm of Lathe turning on EN24 steel for prediction of surface roughness
• Chapter 2. Optimization of TWR and SR of superalloy Al/9.6B4C in EDM using advanced optimization techniques
• Chapter 3. Simulation and comparative analysis of sardar sarovar reservoir by meta-heuristic algorithm
• Chapter 4. Determination of Thickness and Refractive Index of Antireflection Coating Thin-Films from Reflectivity Spectrum using Jaya Optimization Algorithm
• Chapter 5. Optimization of worm gear drive for improving efficiency using RCGA
• Chapter 6. Comparing a Parameter Less Technique Jaya with Parameters Based Evolutionary Algorithms
• Chapter 7. Optimal Sizing of PV/Wind/Battery stand-alone hybrid renewable energy system using TLBO algorithm
• Chapter 8. MOJAYA optimization of machining parameters coupled with R-method for the generation of micro holes on GFRP composite using an in-house developed -ECDM system
• Chapter 9. Enhanced Fruit Fly Optimization Algorithm for Node Capture Attack in WSN
• Chapter 10. Optimization of Construction Scheduling with Rao Algorithm
• Chapter 11. Using Meta-Heuristic Optimization Methods in Solving Time-Cost-Quality Trade-off Problems
• Chapter 12. A Particle Swarm Optimization based model for Quality, Safety trade-off optimization under constraint duration and cost of construction project
• Chapter 13. Optimum design of pipe network using Rao algorithm
• Chapter 14. Multi-Objective Thermal Exchange Optimization for Truss structure
• Chapter 15. Shape optimization of structures considering varying geometrical and material parameters.

This book comprises peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2022. The book combines contributions from academics and industry professionals and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer, and electronics engineering. The book discusses different optimization techniques and algorithms such as genetic algorithm, non-dominated sorting genetic algorithm-II, and III, differential search, particle swarm optimization, fruit fly algorithm, cuckoo search, teachinglearning-based optimization algorithm, grey wolf optimization, Jaya algorithm, Rao algorithms, and many other latest meta-heuristic techniques and their applications. Various multi-attribute decision-making methods such as AHP, TOPSIS, ELECTRE, PROMETHEE, DEMATEL, R-method, fuzzy logic, and their applications are also discussed. This book serves as a valuable reference for students, researchers, and practitioners and helps them in solving a wide range of optimization problems.

• Sentiment Analysis in Turkish using Transformer-based Deep Learning Models
• Mathematical Modeling of an Antenna Device Based on a T-shaped Waveguide of the Microwave Range
• Higher-order and stable numerical scheme for nonlinear diffusion system via compact finite difference and adaptive step-size Runge-Kutta methods
• Explainable Artificial Intelligence (XAI) for Deep Learning Based Intrusion Detection Systems
• A Color Channel Based Analysis on Image Tessellation
• Modeling of Shear Strength of Basalt Fiber Reinforced Clay (BFRC) Soil Using Artificial Neural Network (ANN)
• Change of the Internet with Blockchain and Metaverse Technologies
• A Language-Free Hate Speech Identification on Code-Mixed Conversational Tweets
• Decision Trees in Causal Inference
• The Resilience of Unmanned Aerial Vehicles to Cyberattacks and Assessment of Potential Threats.

As general, this book is a collection of the most recent, quality research papers regarding applications of Artificial Intelligence and Applied Mathematics for engineering problems. The papers included in the book were accepted and presented in the 4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2022), which was held in Baku, Azerbaijan (Azerbaijan Technical University) between May 20 and 22, 2022. Objective of the book content is to inform the international audience about the cutting-edge, effective developments and improvements in different engineering fields. As a collection of the ICAIAME 2022 event, the book gives consideration for the results by especially intelligent system formations and the associated applications. The target audience of the book is international researchers, degree students, practitioners from industry, and experts from different engineering disciplines.

• Forward
• Preface
• Conference Committees
• Part I Theory and Application of Intelligent Computing
• Part II Intelligent Information System and Management Decision
• Part III Artificial Intelligence and Robots
• Part IV Mechanical design and intelligent manufacturing
• Part V Intelligent control and detection technology
• Index.

This book is a collection of selected papers submitted to the 2022 International Conference on Intelligent Systems Design and Engineering Applications organized in Tokyo, Japan, May 13-15, 2022 (ISDEA2022). The book is organized according to the conferences five major themes, including 1) Theory and Application of Intelligent Computing, 2) Intelligent Information System and Management Decision, 3) Artificial Intelligence and Robots, 4) Mechanical design and intelligent manufacturing and 5) Intelligent control and detection technology. ISDEA establishes a platform for researchers and scholars working in the field of intelligent systems design and engineering applications to present their newest research results, exchange innovative ideas, propose new models, as well as demonstrate advanced methodologies and novel design and systems.

• Intro
• Preface
• Contents
• About the Editors
• Power System Technologies
• Investigating the Application of Ethereum Smart Contracts in Energy Exchanges
• 1 Introduction
• 2 Digital Energy Ecosystem
• 3 Smart Contract Creation
• 3.1 Agreement Modelling
• 3.2 Smart Contract Definition
• 4 Smart Contract Deployment
• 5 Smart Contract Interaction
• 6 Conclusion
• References
• Feasibility Analysis of V2G Operation in India and Cost Minimization for EV Car Parks Using Firefly Algorithm
• 1 Introduction
• 2 Literature Review

• 3 Development of the Model for Feasibility Analysis of V2G Operation in India
• 3.1 Component Information
• 3.2 Simulation Model
• 3.3 Feasibility Analysis Objectives
• 4 Mathematical Model for Cost Minimization of V2G Enabled EV Charging in a Car Park
• 5 Firefly Algorithm
• 6 Optimization Implementation Procedure of the Proposed System
• 7 Results
• 7.1 Feasibility Analysis of the Proposed System Using HOMER Pro Software
• 7.2 Cost Optimization Results Using MATLAB/Simulink Software
• 8 Conclusion
• References

• Piezoelectric Sensors for the Conversion of Noise Pollution into Electricity
• 1 Introduction
• 1.1 Impact of Noise Pollution on Human Health
• 1.2 Potential of Noise Pollution
• 2 Piezoelectric Sensor for Noise Pollution Energy Converter
• 3 Role of Resonator as Pre-amplifier
• 4 Noise/Sound to Electric Energy Conversion
• 5 Practical Model of Noise Pollution Energy Converter
• 6 Conclusion
• References
• Implementation of Single-Phase Cascaded Seven-Level Inverter with Non-isolated Converter
• 1 Introduction
• 2 Cascaded H-Bridge (CHB) MLI
• 2.1 Cascaded Seven-Level Inverter

• 2.2 Projected Seven-Level Cascaded H-Bridge MLI
• 3 Modes of the Process of the Designed Technique
• 4 Results and Discussion
• 4.1 Proposed Arrangement Simulation Results
• 4.2 Proposed Arrangement PROTEUS Setup
• 5 Conclusion
• References
• An Adaptive and Efficient VSC-MTDC Controller for DC Voltage Regulation and Frequency Stability in AC Network
• 1 Introduction
• 2 Dual-Droop Control for Multi-terminal HVDC Grid
• 3 Proposed Dual-Droop Control Strategy
• 4 Simulations and Result
• 5 Conclusion
• References

• Planning of Load Frequency Control in Two Degrees of Freedom PID Controller Using MFO Technique in 2 Area Power System
• 1 Introduction
• 2 System Understudy
• 3 2-DOF and PID Controller
• 4 Moth Flow Algorithm
• 5 Simulation Result
• 6 Conclusion
• References
• Optimization of Cost and Sensitivity Analysis of a Standalone Microgrid
• 1 Introduction
• 2 Proposed Scheme
• 2.1 Determination of Daily Load Profile
• 2.2 Metrological Data
• 2.3 Schematic Model Diagram
• 2.4 Problem Description
• 3 Results and Discussion
• 3.1 Cost and Sensitivity Analysis
• 3.2 Economic Analysis

This book constitutes selected peer-reviewed proceedings of the 2nd International Conference on Signals, machines, and Automation (SIGMA 2022). This book includes papers on technologies related to electric power, manufacturing processes & automation, biomedical & healthcare, communication & networking, image processing, and computation intelligence. The book will serve as a valuable reference resource for beginners as well as advanced researchers in the areas of engineering & technology.

• Intro
• General Committees
• Honorary Chairs
• General Chair
• Conference Chairs
• Organizing Committee
• Secretary and Social Media
• Accommodation and Registration/Venue Desk
• Travel/Transportation
• Web/Design/Conference Session
• Scientific Committee
• Keynote Speaks
• ICAIAME 2021 Keynote Speakers
• Foreword
• Preface
• Contents
• About the Conference
• Scope/Topics
• Conference Scope/Topics (as not limited to)
• Conference Posters
• 1 Implementation of Basic Math Processing Skills with Neural Arithmetic Expressions in One and Two Stage Numbers
• 1.1 Introduction

• 1.1.1 Neural Arithmetic Expressions and Logic Units
• 1.1.2 Long Short-Term Memory Algorithm
• 1.2 Related Work
• 1.3 Proposed Method
• 1.4 Experimental Findings
• 1.5 Conclusions
• References
• 2 An Example Application for Early Diagnosis of Retinal Diseases Using Deep Learning Methods
• 2.1 Introduction
• 2.2 Material and Method
• 2.2.1 Material
• 2.2.2 Method
• 2.3 Research Findings
• 2.4 Discussion
• 2.5 Results
• References
• 3 Autonomous Parking with Continuous Reinforcement Learning
• 3.1 Introduction
• 3.2 Related Works
• 3.2.1 Deep Q Networks

• 3.2.2 Deep Deterministic Policy Gradient Algorithm
• 3.2.3 Twin Delayed Temporal Difference Algorithm
• 3.2.4 Soft Actor Critic Algorithm
• 3.2.5 Hindsight Experience Replay Algorithm
• 3.2.6 Parking Environment Simulation Model
• 3.3 Experiments and Results
• 3.4 Conclusions and Future Work
• References
• 4 Design and Manufacturing of a 3 DOF Robot with Additive Manufacturing Methods
• 4.1 Introduction
• 4.2 Material and Method
• 4.2.1 Material
• 4.3 Method
• 4.4 Findings and Discussion
• 4.5 Conclusion
• References

• 5 Real-Time Mask Detection Based on Artificial Intelligence Using Renewable Energy System Unmanned Aerial Vehicle
• 5.1 Introduction
• 5.2 Related Studies
• 5.3 Material and Method
• 5.3.1 Material
• 5.3.2 Material and Method
• 5.4 Research Findings
• 5.5 Conclusion
• References
• 6 Investigation of Effect of Wrapping Length on the Flexural Properties of Wooden Material in Reinforcement with Aramid FRP
• 6.1 Introduction
• 6.2 Material and Method
• 6.3 Results
• 6.4 Conclusions
• References
• 7 Deep Learning-Based Air Defense System for Unmanned Aerial Vehicles
• 7.1 Introduction

• 7.2 Material and Method
• 7.2.1 Material
• 7.2.2 Method
• 7.3 Research Findings
• 7.3.1 MobileNetV2 Training Results
• 7.3.2 Xception Training Results
• 7.3.3 InceptionV3 Training Results
• 7.4 Results
• References
• 8 Strategic Framework for ANFIS and BIM Use on Risk Management at Natural Gas Pipeline Project
• 8.1 Introductıon
• 8.2 Literature
• 8.3 Materials and Methods
• 8.3.1 Artificial Neural Networks (ANN)
• 8.3.2 Structure of Artificial Neural Network
• 8.3.3 Fuzzy Inference System
• 8.3.4 Adaptive Neuro-Fuzzy Inference System-ANFIS

This book brings together the most recent, quality research papers accepted and presented in the 3rd International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2021) held in Antalya, Turkey between 1-3 October 2021. Objective of the content is to provide important and innovative research for developments-improvements within different engineering fields, which are highly interested in using artificial intelligence and applied mathematics. As a collection of the outputs from the ICAIAME 2021, the book is specifically considering research outcomes including advanced use of machine learning and careful problem designs on human-centred aspects. In this context, it aims to provide recent applications for real-world improvements making life easier and more sustainable for especially humans. The book targets the researchers, degree students, and practitioners from both academia and the industry.
(source: Nielsen Book Data)

• Smart Grid and Net Metering Impact in Current Scenario of Power System.- Machine Learning Based Approach for Myocardial Infarction.- Joyful Jaccard: An Analysis of Jaccard-based Similarity Measures in Collaborative Recommendations.- An Improved Reversible Data Hiding Technique for Encrypted Images Using Difference Error Expansion.- Assessment of Image Quality Metric by the means of Various Preprocessing Filters for Lung CT Scan Images.- A New Approach for Acute Lymphocytic Leukemia Identification Using Transfer Learning.- A Hybrid Machine Learning Approach for Customer Segmentation Using RFM Analysis.- AMD-net: Automatic Medical Diagnoses using Retinal OCT Images.- Performance Interpretation of Supervised Artificial Neural Network Highlighting Role of Weight and Bias for Link Prediction.- Using Big Data Analytics on Social Media to Analyze Tourism Service Encounters.
• (source: Nielsen Book Data)

This book comprises select papers from the International Conference on Artificial Intelligence and Sustainable Engineering (AISE 2020). The volume focuses on the recent advancements in artificial intelligence and addresses how it is useful in achieving truly sustainable solutions. The key strands of this book include artificial intelligence in healthcare, IoT for modern life, security and surveillance, big data analytics, machine learning and computing, communication technologies, gesture technology, virtual intelligence, and audio & speech processing. The book addresses sustainability challenges in various computing techniques and opportunities for sustainable engineering based on AI and supporting tools such as engineering design for sustainable development using IoT/AI, smart cities: waste minimization, remanufacturing, reuse and recycling technologies using IoT/AI, industry 4.0, intelligent and smart grid systems, energy conservation using technology, green engineering/technology, robotic process automation (RPA) and water and air quality management. This book can be a valuable resource for academicians, researchers, and professionals working in AI and its applications.
(source: Nielsen Book Data)

• Application of Supervised learning for Voltage Stability Assessment.- Breast DCE-MRI Segmentation for Lesion Detection using Clustering with Fireworks Algorithm.- Swarm Programming Using Moth-Flame Optimization and Whale Optimization Algorithms.- Nonlinear Regression Analysis Using Multi-Verse Optimizer.- An Extended ACO-Based Routing Algorithm for Cognitive Radio Network.- A Review on Image Classification and Object Detection Using Deep Learning.- Kidney Lesion Segmentation in MRI Using Clustering with Salp Swarm Algorithm.- Smart Approach to Optical Character Recognition and Ubiquitous Speech Synthesis using Real-Time Deep Learning Algorithms.- Sine Cosine Algorithm with Centroid Opposition-based Computation.- Data Mining Techniques for Fraud Detection - Credit Card Frauds.
• (source: Nielsen Book Data)

This book presents best selected papers presented at the First Global Conference on Artificial Intelligence and Applications (GCAIA 2020), organized by the University of Engineering & Management, Jaipur, India, during 8-10 September 2020. The proceeding will be targeting the current research works in the domain of intelligent systems and artificial intelligence.
(source: Nielsen Book Data)

• Fault Analysis and Protection Scheme for DC Microgrid.- A Case Study on Electric Vehicle Conversion from an Internal Combustion Engine Vehicle.- Image Processing Using Elephant Herding Optimization: A Review.- A Review on IOT based Efficient Energy Management System for Smart homes.- Minimization of Tie-line Power Fluctuations using GCSC with Gas-Thermal -EV System for LFC Considering Time-Delay Effect.- Investigation of Timing Issues of True Single-Phase Clock Circuits for Nanodevices.- Comparative Analysis of Machine Learning Techniques for Software Effort Estimation.- A Review of Factors Affecting the Sensitivity of Piezoresistive Microcantilever based MEMS Force Sensor.- Dynamics Modeling and Motion Simulation of a Segway Robotic Transportation System.- Microgrid Energy Management Strategy for Low Dynamics Load Applications using Simulink.
• (source: Nielsen Book Data)

This book compiles the best selected research papers presented during the 2nd International Conference on Intelligent Computing Techniques for Smart Energy Systems (ICTSES 2021), held at Manipal University, Jaipur, Rajasthan, India. It presents the diligent work of the research community where intelligent computing techniques are applied in allied fields of engineering ranging from engineering materials to electrical engineering to electronics and communication engineering- to computer-related fields. The theoretical research concepts are supported with extensive reviews highlighting the trends in the possible and real-life applications of computational intelligence. The high-quality content with broad range of the topics is thoroughly peer-reviewed and published on suitable recommendations.
(source: Nielsen Book Data)

This collection contains 24 peer-reviewed papers on emerging transportation technologies presented at the International Conference on Transportation and Development 2022, held in Seattle, Washington, May 31-June 3, 2022. Topics include: AI and machine learning; traffic patterns and modeling; deep learning; and vehicle tracking.

These proceedings address the latest developments in the broad area of intelligent construction integrated in the mission of the International Society for Intelligent Construction (ISIC) which aims to promote intelligent construction technologies applications from the survey, design, construction, operation, and maintenance/rehabilitation by adapting to changes of environments and minimizing risks. Its goals are to improve the quality of construction, cost-saving, and safety, exploring fundamental issues related to the application and use of Artificial Intelligence (AI) and Machine Learning techniques and technology. ISIC 2022 is the 3rd ISIC international conference, held in Guimaraes, Portugal on September 6-9, 2022, and follows the previous successful instalments of the conference series in China (2019) and USA (2017). It took a holistic approach to integrate civil engineering, construction machinery, electronic sensor technology, survey/testing technologies, information technology/computing, and other related fields in the broad area of intelligent construction. The respective contributions cover the following topics: Artificial Intelligence for Design and the Built Environment, Building Information Modelling (BIM) and Construction Automation and Robotics, Intelligent Construction, Sustainable Construction, and Sustainable and Smart Infrastructures. Given its broad range of coverage, the book will benefit students, educators, researchers and professionals practitioners alike, encouraging these readers to help the intelligent construction community into the digital era and with a vision on societal issues.
(source: Nielsen Book Data)

This collection contains 24 peer-reviewed papers on emerging transportation technologies presented at the International Conference on Transportation and Development 2022, held in Seattle, Washington, May 31-June 3, 2022. Topics include: AI and machine learning; traffic patterns and modeling; deep learning; and vehicle tracking.

• Data Mining, Knowledge Discovery and Big Data.- Document Similarity by Word Clustering with Semantic Distance.- PSO-PARSIMONY: A New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections.- Content-based authorship identification for short texts in Social Media Networks.- A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Probability Detection.- Bio-inspired Models and Evolutionary Computation.- Remaining Useful Life Estimation Using a Recurrent Variational Autoencoder.- Open-ended Learning of Reactive Knowledge in Cognitive Robotics based on Neuroevolution.- Managing gene expression in evolutionary algorithms with gene regulatory networks.- Evolutionary Optimization of Neuro-symbolic Integration for Phishing URL Detection.- Interurban Electric Vehicle Charging Stations through Genetic Algorithms.- An Effective Hybrid Genetic Algorithm for Solving the Generalized Traveling Salesman Problem.- A Simple Genetic Algorithm for the Critical Node Detection Problem.- Learning Algorithms.- Window Size Optimization for GaussianProcesses in Large Time Series Forecasting.- A binary classification model for toxicity prediction in drug design.- Structure Learning of High-Order Dynamic Bayesian Networks via Particle Swarm Optimization with Order Invariant Encoding.- Prototype Generation for Multi-label Nearest Neighbours Classification.- Learning Bipedal Walking Through Morphological Development.- Ethical Challenges from Artificial Intelligence to Legal Practice.- Visual Analysis and Advanced Data Processing Techniques.- Classification of burrs using contour features of image in milling workpieces.- Adaptive Graph Laplacian for Convex Multi-Task Learning SVM.- Fight detection in images using postural analysis.- Applying Vector Symbolic Architecture and Semiotic Approach to Visual Dialog.- Transfer Learning study for horses breeds images datasets using pre-trained ResNet Networks.- Machine Learning Applications.- Fraudulent e-commerce websites detection through machine learning.- More Interpretable Decision Trees.- Algorithms Air Quality Estimation: A Comparative Study of Stochastic and Heuristic Predictive Models.- Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-ray Case Study.- Hybrid Intelligent Applications.- Speech emotion recognition by conventional machine learning and deep learning.- Predictive Maintenance of Vehicle Fleets using Hierarchical Modified Fuzzy Support Vector Machine for Industrial IoT Datasets.- Super Local Models for Wind Power Detection.- A Comparison of Blink Removal Techniques in EEG signals.- Hybrid intelligent model for switching modes classification in a half-bridge buck converter.- Hybrid model to calculate the State Of Charge of a battery.- Distance Metric Learning with Prototype Selection for Imbalanced Classification.- Enhancing Place Inference via Fuzzy Ranking Using Fuzzy Similarity and Agreeability.- A Hybrid Intelligent System to Detect Anomalies in Robot Performance.- Counter intuitive COVID-19 propagation dynamics in Brazil.- A Hybrid Bio-inspired Tabu Search Clustering Approach.- A Non-parametric Fisher Kernel.- Deep Learning Applications.- Hybrid deep learning approach for efficient outdoor parking monitoring in smart cities.- Personal cognitive assistant: personalization and action scenarios expansion.- Nowcasting for Improving Radon-222 Forecasting at Canfranc Underground Laboratory.- Analysis of the seasonality in a geothermal system using projectionist and clustering methods.- A model-based deep transfer learning algorithm for phenology forecasting using satellite imagery.- Deep Transfer Learning for interpretable Chest X-Ray diagnosis.- Companion Losses for Deep Neural Networks.- Financial Forecasting via Deep-Learning and Machine-Learning Tools over Two-Dimensional Objects Transformed from Time Series.- A preliminary analysis on software frameworks for the development of spiking neural networks.- Edge AI for Covid-19 detection using coughing.- Unsupervised Learning Approach for pH Anomaly Detection in Wastewater Treatment Plants.- A hybrid post-hoc interpretability approach for deep neural networks.- Deep Learning Applications on Cybersecurity.- Optimization Problem Applications.- A Parallel Optimization Solver for the Multi-period WDND problem.- Waste Collection Vehicle Routing Problem using filling predictions.- Optimization of Warehouse Layout for the minimization of operation times.- Simple meta-optimization of the feature MFCC for public Emotional datasets classification.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 16th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2021, held in Bilbao, Spain, in September 2021.The 44 full and 11 short papers presented in this book were carefully reviewed and selected from 81 submissions. The papers are grouped into these topics: data mining, knowledge discovery and big data; bio-inspired models and evolutionary computation; learning algorithms; visual analysis and advanced data processing techniques; machine learning applications; hybrid intelligent applications; deep learning applications; and optimization problem applications.
(source: Nielsen Book Data)

• Data mining, knowledge discovery and big data
• Bio-inspired models and evolutionary computation
• Learning algorithms
• Visual analysis and advanced data processing techniques
• Data mining applications
• Hybrid intelligent applications.

This volume constitutes the refereed proceedings of the 14th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2019, held in León, Spain, in September 2019. The 64 full papers published in this volume were carefully reviewed and selected from 134 submissions. They are organized in the following topical sections: data mining, knowledge discovery and big data; bio-inspired models and evolutionary computation; learning algorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent applications.

• Automated Diagnosis of Alzheimer?s Disease by Integrating Genetic Biomarkers and Tissue Density Information
• A Neural Model of Number Interval Position Effect (NIPE) in Children
• A Volumetric Radial LBP Projection of MRI Brain Images for the Diagnosis of Alzheimer?s Disease
• Telemetry System for Cochlear Implant Using ASK Modulation and FPGA
• MBMEDA: An Application of Estimation of Distribution Algorithms to the Problem of Finding Biological Motifs
• Towards a Generic Simulation Tool of Retina Models
• Specialist Neurons in Feature Extraction Are Responsible for Pattern Recognition Process in Insect Olfaction
• Intensity Normalization of 123 I-ioflupane-SPECT Brain Images Using a Model-Based Multivariate Linear Regression Approach
• Independent Component Analysis-Based Classification of Alzheimer?s Disease from Segmented MRI Data
• Trajectories-State: A New Neural Mechanism to Interpretate Cerebral Dynamics
• Global and Local Features for Char Image Classification
• On the Automatic Tuning of a Retina Model by Using a Multi-objective Optimization Genetic Algorithm
• Creating Robots with Personality: The Effect of Personality on Social Intelligence
• Artificial Metaplasticity: Application to MIT-BIH Arrhythmias Database
• Toward an Upper-Limb Neurorehabilitation Platform Based on FES-Assisted Bilateral Movement: Decoding User?s Intentionality
• Decoding of Imaginary Motor Movements of Fists Applying Spatial Filtering in a BCI Simulated Application
• The Koniocortex-Like Network: A New Biologically Plausible Unsupervised Neural Network
• Towards an Integrated Semantic Framework for Neurological Multidimensional Data Analysis
• Some Results on Dynamic Causal Modeling of Auditory Hallucinations
• Retinal DOG Filters: High-pass or High-frequency Enhancing Filters?
• Spatio-temporal Dynamics of Images with Emotional Bivalence
• Interstimulus Interval Affects Population Response in Visual Cortex in vivo
• Towards the Reconstruction of Moving Images by Populations of Retinal Ganglion Cells
• FPGA Translation of Functional Hippocampal Cultures Structures Using Cellular Neural Networks
• Parkinson?s Disease Monitoring from Phonation Biomechanics
• Retinal DOG Filters: Effects of the Discretization Process
• Computable Representation of Antimicrobial Recommendations Using Clinical Rules: A Clinical Information Systems Perspective
• Abstracting Classification Models Heterogeneity to Build Clinical Group Diagnosis Support Systems.-. Using EEG Signals to Detect the Intention of Walking Initiation and Stop
• Low-cost Remote Monitoring of Biomedical Signals
• Asynchronous EEG/ERP Acquisition for EEG Teleservices
• A Machine Learning Approach to Prediction of Exacerbations of Chronic Obstructive Pulmonary Disease
• Brain-Computer Interfacing to Heuristic Search: First Results
• English Phonetics: A Learning Approach Based on EEG Feedback Analysis
• Dynamic Modelling of the Whole Heart Based on a Frequency Formulation and Implementation of Parametric Deformable Models
• Multimodal 3D Registration of Anatomic (MRI) and Functional (fMRI and PET) Intra-patient Images of the Brain
• Localisation of Pollen Grains in Digitised Real Daily Airborne Samples
• Estimation of the Arterial Diameter in Ultrasound Images of the Common Carotid Artery
• Comparison of Free Distribution Software for EEG Focal Epileptic Source Localization
• Weighted Filtering for Neural Activity Reconstruction Under Time Varying Constraints
• Neural Activity Estimation from EEG Using an Iterative Dynamic Inverse Problem Solution
• Supervised Brain Tissue Segmentation Using a Spatially Enhanced Similarity Metric
• iLU Preconditioning of the Anisotropic-Finite-Difference Based Solution for the EEG Forward Problem
• EEG Rhythm Extraction Based on Relevance Analysis and Customized Wavelet Transform
• Estimation of M/EEG Non-stationary Brain Activity Using Spatio-temporal Sparse Constraints
• Connectivity Analysis of Motor Imagery Paradigm Using Short-Time Features and Kernel Similarities
• Robust Linear Longitudinal Feedback Control of a Flapping Wing Micro Air Vehicle
• Use and Adoption of a Touch-Based Occupational Therapy Tool for People Suffering from Dementia
• Multisensory Treatment of the Hemispatial Neglect by Means of Virtual Reality and Haptic Techniques
• Evaluation of Color Preference for Emotion Regulation
• Elicitation of Emotions through Music: The Influence of Note Value
• Towards Emotionally Sensitive Conversational Interfaces for E-therapy
• Automatic Drawing Analysis of Figures Included in Neuropsychological Tests for the Assessment and Diagnosis of Mild Cognitive Impairment
• Identification of Loitering Human Behaviour in Video Surveillance Environments
• Stress Detection Using Wearable Physiological Sensors
• An Embedded Ground Change Detector for a "Smart Walker."

The two volumes LNCS 9107 and 9108 constitute the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2015, held in Elche, Spain, in June 2015. The total of 103 contributions was carefully reviewed and selected from 190 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on artificial computation and biology and medicine, addressing topics such as computational neuroscience, neural coding and neuro-informatics, as well as computational foundations and approaches to the study of cognition. The second volume deals with bioinspired computation in artificial systems; topics alluded are bio-inspired circuits and mechanisms, bioinspired programming strategies, and bioinspired engineering AI & KE.

• Online Control of Enumeration Strategies via Bat-Inspired Optimization
• LEXMATH
• A Tool for the Study of Available Lexicon in Mathematics
• Low-Power Occupancy Sensor for an Ambient Assisted Living System
• Evolution of Synaptic Delay Based Neural Controllers for Implementing Central Pattern Generators in Hexapod Robotic Structures
• Genetic Algorithm for the Job-Shop Scheduling with Skilled Operators
• Preliminary Design of the Real-Time Control Software for the Adaptive Optics of AOLI
• Graph-Based Learning on Sparse Data for Recommendation Systems in Social Networks
• Self-sampling Strategies for Multimemetic Algorithms in Unstable Computational Environments
• On the Influence of Illumination Quality in 2D Facial Recognition
• A Binary Cuckoo Search Algorithm for Solving the Set Covering Problem
• State Machine Based Architecture to Increase Flexibility of Dual-Arm Robot Programming
• A Cellular Automata Model for Mobile Worm Propagation
• Evolving Cellular Automata to Segment Hyperspectral Images Using Low Dimensional Images for Training.-. Multicriteria Inventory Routing by Cooperative Swarms and Evolutionary Algorithms
• Embodied Evolution for Collective Indoor Surveillance and Location
• On the Spectral Clustering for Dynamic Data
• A Multiple-Model Particle Filter Based Method for Slide Detection and Compensation in Road Vehicles
• Pedestrian Tracking-by-Detection Using Image Density Projections and Particle Filters
• Comparative Study of the Features Used by Algorithms Based on Viola and Jones Face Detection Algorithm
• Experiments of Skin Detection in Hyperspectral Images
• Scene Recognition for Robot Localization in Difficult Environments
• Pyramid Representations of the Set of Actions in Reinforcement Learning
• Related Tasks Selection to Multitask Learning Schemes
• Towards Robot Localization Using Bluetooth Low Energy Beacons RSSI Measures
• Development of a Web Platform for On-line Robotics Learning Workshops Using Real Robots
• A Growing Functional Modules Learning Based Controller Designed to Balance of a Humanoid Robot on One Foot
• Optimized Representation of 3D Sequences Using Neural Networks
• Object Recognition in Noisy RGB-D Data
• Topology Preserving Self-Organizing Map of Features in Image Space for Trajectory Classification
• A Comparative Study of Downsampling Techniques for Non-rigid Point Set Registration Using Color
• Robust Control Tuning by PSO of Aerial Robots Hose Transportation
• Visual Bug Algorithm for Simultaneous Robot Homing and Obstacle Avoidance Using Visual Topological Maps in an Unmanned Ground Vehicle
• Neural Modeling of Hose Dynamics to Speedup Reinforcement Learning Experiments
• Autonomous Robot Navigation Based on Pattern Recognition Techniques and Artificial Neural Networks
• Collaborative Group Formation Using Genetic Algorithms
• The CALIMACO Multimodal System: Providing Enhanced Library Services Using Mobile Devices.-Agent Based Modelling to Build Serious Games: The Learn to Lead Game
• An Augmented Reality Application for Learning Anatomy
• Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach
• Multicriterion Segmentation of Demand Markets to Increase Forecasting Accuracy of Analogous Time Series: A First Investigation
• A Self-Organising Multi-Manifold Learning Algorithm
• Artificial Metaplasticity for Deep Learning: Application to WBCD Breast Cancer Database Classification
• Comparing ELM Against MLP for Electrical Power Prediction in Buildings.-. Fish Monitoring and Sizing Using Computer Vision
• Computer-Aided Development of Thermo-Mechanical Laser Surface Treatments for the Fatigue Life Extension of Bio-Mechanical Components
• From Smart Grids to Business Intelligence, a Challenge for Bioinspired Systems
• Neural Recognition of Real and Computer-Designed Architectural Images.

The two volumes LNCS 9107 and 9108 constitute the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2015, held in Elche, Spain, in June 2015. The total of 103 contributions was carefully reviewed and selected from 190 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on artificial computation and biology and medicine, addressing topics such as computational neuroscience, neural coding and neuro-informatics, as well as computational foundations and approaches to the study of cognition. The second volume deals with bioinspired computation in artificial systems; topics alluded are bio-inspired circuits and mechanisms, bioinspired programming strategies, and bioinspired engineering AI & KE.

• Towards Cloud-Based Engineering Systems.- Dealing with the Alignment of Strategies Within the Collaborative Networked Partners.- The Need of Performance Indicators for Collaborative Business Ecosystems.- Negotiation Environment and Protocols for Collaborative Service Design.- An Emotional Support System for Collaborative Networks.- Trust-Based Access Control in Storage Middleware Grids: A Reference Framework Proposal to Deploy in the Financial Sector.- Service Composition in the Cloud-Based Manufacturing Focused on the Industry 4.0.- Cloud-Based Framework for Practical Model-Checking of Industrial Automation Applications.- A Cloud-Based Infrastructure to Support Manufacturing Resources Composition.- Modeling of Mechanisms for Reconfigurable and Distributed Manufacturing Control System.- PRIME as a Generic Agent Based Framework to Support Pluggability and Reconfigurability Using Different Technologies.- The Migration from Conventional Manufacturing Systems for Multi-Agent Paradigm: The First Step.- Experimental Assessment of Cloud Software Dependability Using Fault Injection.- Usability of Scientific Workflow in Dynamically Changing Environment.- Graph-Transformational Swarms with Stationary Members.- Analysis and Generation of Logical Signals for Discrete Events Behavioral Modeling.- EmbedCloud - Design and Implementation Method of Distributed Embedded Systems.- Cloud-Based IOPT Petri Net Simulator to Test and Debug Embedded System Controllers.- Improved Denoising with Robust Fitting in the Wavelet Transform Domain.- Selection of Large-Scale 3D Point Cloud Data Using Gesture Recognition.- Context Classifier for Service Robots.- Distributed RSS-Based Localization in Wireless Sensor Networks with Node Selection Mechanism.- Continuous Speech Classification Systems for Voice Pathologies Identification.- 3D Human Scanning Solution for Medical Measurements.- Semi-Automated Quantitative Validation Tool for Medical Image Processing Algorithm Development.- High Resolution Digital Tissue Image Processing Using Texture Image Databases.- Georeferenced Dynamic Event Handling.- Implementation of User-Oriented Smart Services into an Innovative DC Low Voltage Net.- Light Memory Operation Based on a Double Pin SiC Device.- Brain Inspired Health Monitoring Supported by the Cloud.- Optimal Generation Scheduling of Wind-CSP Systems in Day-Ahead Electricity Markets.- Influence of Large Renewable Energy Integration on Insular Grid Code Compliance.- Optimal Behavior of Demand Response Aggregators in Providing Balancing and Ancillary Services in Renewable-Based Power Systems.- A Heuristic Approach for Economic Dispatch Problem in Insular Power Systems.- Experimental Wireless Wattmeter for Home Energy Management Systems.- Use of Web Based Meters to Improve Energy Efficiency and Power Quality in Buildings.- A Model-Based Approach for Resource Constrained Devices Energy Test and Simulation.- Analysis of Causes and Effects of Harmonic Distortion in Electric Power Systems and Solutions to Comply with International Standards Regarding Power Quality.- Risk Analysis and Behavior of Electricity Portfolio Aggregator.- Combined Operation of an Unified Power Quality Conditioner and a Superconducting Magnetic Energy Storage System for Power Quality Improvement.- Offering Strategies of Wind Power Producers in a Day-Ahead Electricity Market.- New Multi-objective Decision Support Methodology to Solve Problems of Reconfiguration in the Electric Distribution Systems.- Cloud-Based Decision Support Ecosystem for Renewable Energy Providers.- Development of a Simulink Model of a Saturated Cores Superconducting Fault Current Limiter.- Simulation of a-Si PV System Linked to the Grid by DC Boost and Three-Level Inverter Under Cloud Scope.- Modeling Reserve Ancillary Service as Virtual Energy Carrier in Multi-Energy Systems.- Simulation of Offshore Wind System with Three-Level Converters: HVDC Power Transmission in Cloud Scope.- Disc Motor with Rotor Made of Aluminium or Polycrystalline High Temperature Superconductor.- Investigation of the Tesla Transformer as a Device for One-Wire Power and Signaling and as a Device for Power and Signaling Through the Ground.- Experimental Magnetic Field Mapping of a Polycrystalline Superconducting YBCO Disc for an Axial Flux Motor.- Analysis of a Multi-Ratio Switched Capacitor DC-DC Converter for a Supercapacitor Power Supply.- A Piezoelectric Device for Measurement and Power Harvesting Applications.- Design of High Voltage Full-Bridge Inverter Using Marx Derived Switches.- Stable Integration of Power Electronics-Based DG Links to the Utility Grid with Interfacing Impedance Uncertainties.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 6th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2015, held in Costa de Caparica, Portugal, in April 2015. The 54 revised full papers were carefully reviewed and selected from 119 submissions. The papers present selected results produced in engineering doctoral programs and focus on development and application of cloud-based engineering systems. Research results and ongoing work are presented, illustrated and discussed in the following areas: collaborative networks; cloud-based manufacturing; reconfigurable manufacturing; distributed computing and embedded systems; perception and signal processing; healthcare; smart monitoring systems; and renewable energy and energy-related management, decision support, simulation and power conversion.
(source: Nielsen Book Data)