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• Metaheuristic Pattern Clustering - An Overview.- Differential Evolution Algorithm: Foundations and Perspectives.- Modeling and Analysis of the Population-Dynamics of Differential Evolution Algorithm.- Automatic Hard Clustering Using Improved Differential Evolution Algorithm.- Fuzzy Clustering in the Kernel-Induced Feature Space Using Differential Evolution Algorithm.- Clustering Using Multi-objective Differential Evolution Algorithms.- Conclusions and Future Research.
• (source: Nielsen Book Data)

Cluster analysis means the organization of an unlabeled collection of objects or patterns into separate groups based on their similarity. The task of computerized data clustering has been approached from diverse domains of knowledge like graph theory, multivariate analysis, neural networks, fuzzy set theory, and so on. Clustering is often described as an unsupervised learning method but most of the traditional algorithms require a prior specification of the number of clusters in the data for guiding the partitioning process, thus making it not completely unsupervised. Modern data mining tools that predict future trends and behaviors for allowing businesses to make proactive and knowledge-driven decisions, demand fast and fully automatic clustering of very large datasets with minimal or no user intervention. In this volume, we formulate clustering as an optimization problem, where the best partitioning of a given dataset is achieved by minimizing/maximizing one (single-objective clustering) or more (multi-objective clustering) objective functions. Using several real world applications, we illustrate the performance of several metaheuristics, particularly the Differential Evolution algorithm when applied to both single and multi-objective clustering problems, where the number of clusters is not known beforehand and must be determined on the run. This volume comprises of 7 chapters including an introductory chapter giving the fundamental definitions and the last Chapter provides some important research challenges. Academics, scientists as well as engineers engaged in research, development and application of optimization techniques and data mining will find the comprehensive coverage of this book invaluable.
(source: Nielsen Book Data)

The book presents high-quality research papers presented at 4th International Conference on Intelligent Computing and Advances in Communication (ICAC 2021) organized by Siksha 'O' Anusandhan, Deemed to be University, Bhubaneswar, Odisha, India, in November 2021. This book brings out the new advances and research results in the fields of theoretical, experimental, and applied signal and image processing, soft computing, networking, and antenna research. Moreover, it provides a comprehensive and systematic reference on the range of alternative conversion processes and technologies.
(source: Nielsen Book Data)

• Chapter 1.Classification and Detection of Leaves using Different Image processing Techniques.-
• Chapter 2. Covid-19 Detection :An Approach Using X-Ray Images and Deep Learning Techniques.-
• Chapter 3. Covid-19 Detection :An Approach Using X-Ray Images and Deep Learning Techniques.-
• Chapter 4. Realization of a vehicular robotic system using the principle of photonics.-
• Chapter 5. A Modified Hybrid Planar Antenna for Cognitive Radio Application.-
• Chapter 6. Detection of Broken and Good Medical Tablets Using Various Machine Learning Models.-
• Chapter 7. Lungs Nodule Prediction using Convolutional Neural Network and K-Nearest Neighbor.-
• Chapter 8. Quantitative Structure Activity Relationships (QSARs) Study for KCNQ Genes(Kv7) and Drug discovery.-
• Chapter 9. Apple fruit disease detection and classification using k-means clustering method.-
• Chapter 10. A Detailed Review of the Optimal Distributed Generation Placement in Smart Power Distribution Systems.
• (source: Nielsen Book Data)

This book presents high-quality research papers presented at the 3rd International Conference on Intelligent Computing and Advances in Communication (ICAC 2020) organized by Siksha 'O' Anusandhan Deemed to be University, Bhubaneswar, Odisha, India, in November 2020. This book brings out the new advances and research results in the fields of theoretical, experimental, and applied signal and image processing, soft computing, networking, and antenna research. Moreover, it provides a comprehensive and systematic reference on the range of alternative conversion processes and technologies.
(source: Nielsen Book Data)

• Childrens Age and Gender Recognition from Raw Speech Waveform using DNN
• Inter-Vehicular Communication in Urban Traffic Scenario
• Distributed Estimation of IIR Systems Parameter in Sensor Network using Multihop Diffusion LMS Algorithm
• Implementation of Raspberry Pi for fault detection in optic fibre line
• Distributed Optical Fiber Sensing System Performance Improvement using Signal Processing Techniques.

This book features high-quality research papers presented at the 2nd International Conference on Intelligent Computing and Advances in Communication (ICAC 2019), held at Siksha 'O Anusandhan Deemed to be University, Bhubaneswar, Odisha, India, in November 2019. Covering a wide variety of topics, including management of clean and smart energy systems and environmental challenges, it is a valuable resource for researchers and practicing engineers working in various fields of renewable energy generation, and clean and smart energy management.

• Metaheuristic Protein Structure Prediction-An Overview.- Related Works.- Continuous Landscape Analysis using Random Walk Algorithm.- Landscape Characterization and Algorithms Selection for the PSP Problem.- The Levy distributed Parameter Adaptive Metaheuristic Algorithm for Protein Structure Prediction.- Protein Structure Prediction using Improved Variants of Metaheuristic Algorithms.- Hybrid Metaheuristic Approach for Protein Structure Prediction.- Conclusions and Future Research.
• (source: Nielsen Book Data)

This book introduces characteristic features of the protein structure prediction (PSP) problem. It focuses on systematic selection and improvement of the most appropriate metaheuristic algorithm to solve the problem based on a fitness landscape analysis, rather than on the nature of the problem, which was the focus of methodologies in the past. Protein structure prediction is concerned with the question of how to determine the three-dimensional structure of a protein from its primary sequence. Recently a number of successful metaheuristic algorithms have been developed to determine the native structure, which plays an important role in medicine, drug design, and disease prediction. This interdisciplinary book consolidates the concepts most relevant to protein structure prediction (PSP) through global non-convex optimization. It is intended for graduate students from fields such as computer science, engineering, bioinformatics and as a reference for researchers and practitioners.
(source: Nielsen Book Data)

• Intelligent Information Retrieval And Business Intelligence.- Intelligent Web Mining And Knowledge Discovery Systems.- Applications for Intelligent Systems.- Applications of ICT in Rural and Urban Areas.- ICT for Information Sciences.
• (source: Nielsen Book Data)

This volume contains 59 papers presented at ICTIS 2015: International Conference on Information and Communication Technology for Intelligent Systems. The conference was held during 28th and 29th November, 2015, Ahmedabad, India and organized communally by Venus International College of Technology, Association of Computer Machinery, Ahmedabad Chapter and Supported by Computer Society of India Division IV - Communication and Division V - Education and Research. This volume contains papers mainly focused on ICT for Computation, Algorithms and Data Analytics etc.
(source: Nielsen Book Data)

• ICT based Security and Privacy Applications
• Intelligent Systems for Health and IT Applications
• Intelligent Managerial Applications for ICT
• Content Based and Applications.

This volume contains 60 papers presented at ICTIS 2015: International Conference on Information and Communication Technology for Intelligent Systems. The conference was held during 28th and 29th November, 2015, Ahmedabad, India and organized communally by Venus International College of Technology, Association of Computer Machinery, Ahmedabad Chapter and Supported by Computer Society of India Division IV - Communication and Division V - Education and Research. This volume contains papers mainly focused on ICT and its application for Intelligent Computing, Cloud Storage, Data Mining, Image Processing and Software Analysis etc.

• Performance Analysis of Smart Meters for Enabling a New Era for Power and Utilities with Securing Data Transmission and Distribution Using End-to-End Encryption (E2EE) in Smart Grid
• Energy Efficient Data Centre Selection Using Service Broker Policy
• Co-ordinate Measurement of Roll-Cage Using Digital Image Processing
• Split-Ring Resonator Multi-band Antenna for WLAN/WIMAX/X Standard
• Analyses on Architectural and Download Behavior of Xunlei
• Advanced Driver Assistance System Technologies and Its Challenges Toward the Development of Autonomous Vehicle
• Application of Artificial Intelligence-Based Solution Methodology in Generation Scheduling Problem
• Discomfort Analysis at Lower Back and Classification of Subjects Using Accelerometer
• Design of Lyapunov-Based Discrete-Time Adaptive Sliding Mode Control for Slip Control of Hybrid Electric Vehicle
• (Plus 59 other papers)

This book presents the peer-reviewed proceedings of the 5th International Conference on Intelligent Computing and Applications (ICICA 2019), held in Ghaziabad, India, on December 6-8, 2019. The contributions reflect the latest research on advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their applications to decision-making and problem-solving in mobile and wireless communication networks.
(source: Nielsen Book Data)

• Exploring Feature Selection Using Supervised Machine Learning Algorithms for Establishing a Link between Pulmonary Embolism and Cardiac-Arrest.- Speech Signal Compression and Reconstruction using Compressive Sensing Approach.- Breast Cancer Prediction using Enhanced CNN based Image Classification Mechanism.- Dual Band- Notched Microstrip Patch Antenna with Three Split Ring Resonator Slots.- Effective RF Coverage Planning for WMAN Network Using 5 Ghz Backhaul.- Security Enhancement of E-Healthcare System in Cloud using Efficient Cryptographic Method.
• (source: Nielsen Book Data)

This book presents best selected research papers presented at the International Conference on Recent Trends in Communication and Intelligent Systems (ICRTCIS 2020), organized by Arya College of Engineering and IT, Jaipur, on 20-21 November 2020. It discusses the latest technologies in communication and intelligent systems, covering various areas of communication engineering, such as signal processing, VLSI design, embedded systems, wireless communications, and electronics and communications in general. Featuring work by leading researchers and technocrats, the book serves as a valuable reference resource for young researchers and academics as well as practitioners in industry.
(source: Nielsen Book Data)

• Closed-Loop Vision-Based Ball Balancer
• A Novel Network Learning for Image Compressive Sensing
• Performance of Photovoltaic-Based ZETA Converter Water Pumping Application
• Performance Analysis of Radial Distribution System by Optimal Deployment of DG and DSTATCOM Considering Network Reconfiguration Using a SAR Algorithm
• Slope Instability Detection Using IoT with the Help of Ecological Indicators
• Predicting Student Grade Using Machine Learning Techniques
• A Graph Invariant-Based TGO Model for RailTel Optical Networks
• Analysis of Intelligent Controllers for Juice Flow Process in a Sugar Industry
• Performance Analysis of Three-Phase Cuk Inverter with PWM and SPWM Modulation Based on Power Quality
• A Pedagogical Approach on Computer Networking in Practice Using a Smartphone
• (Plus 41 other papers).

This book presents the peer-reviewed proceedings of the Sixth International Conference on Intelligent Computing and Applications (ICICA 2020), held at Government College of Engineering, Keonjhar, Odisha, India, during December 22-24, 2020. The book includes the latest research on advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their applications to decision-making and problem-solving in mobile and wireless communication networks.
(source: Nielsen Book Data)

• Differential Evolution with Two Subpopulations
• Intelligent Water Drops Algorithm for Multimodal Spaces
• Glowworm Swarm based Informative attribute
• Simultaneous Feature Selection and Classification
• TLBO Based Hybrid Forecasting Model for Prediction of Exchange Rates
• Evaluating Internet Information Search Channels using Hybrid MCDM technique
• Image Restoration with Fuzzy Coefficient Driven Anisotropic Diffusion
• Principal Component Analysis and General Regression Auto Associative Neural Network Hybrid as One-Class Classifier
• Software Effort Estimation Using Functional Link Neural Networks Tuned with Active Learning and Optimized with Particle Swarm Optimization
• Fraud Detection in Financial Statements using Evolutionary Computation based Rule Miners
• A Fuzzy Entropy based Multi-level Image Thresholding using Differential Evolution.

This volume constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2014, held in Bhubaneswar, India, in December 2014. The total of 96 papers presented in this volume was carefully reviewed and selected from 250 submissions for inclusion in the proceedings. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering.

• Robust Design of Power System Stabilizers for Multimachine Power Systems Using Differential Evolution.- An AIS-ACO Hybrid Approach for Multi-Objective Distribution System Reconfiguration.- Intelligent Techniques for Transmission Line Fault Classification.- Fuzzy Reliability Evaluations in Electric Power Systems.- Load Forecasting and Neural Networks: A Prediction Interval-Based Perspective.- Neural Network Ensemble for 24-Hour Load Pattern Prediction in Power System.- Power System Protection Using Machine Learning Technique.- Power Quality.- Particle Swarm Optimization PSO: A New Search Tool in Power System and Electro Technology.- Particle Swarm Optimization and Its Applications in Power Systems.- Application of Evolutionary Optimization Techniques for PSS Tuning.- A Metaheuristic Approach for Transmission System Expansion Planning.
• (source: Nielsen Book Data)

Computational Intelligence (CI) is one of the most important powerful tools for research in the diverse fields of engineering sciences ranging from traditional fields of civil, mechanical engineering to vast sections of electrical, electronics and computer engineering and above all the biological and pharmaceutical sciences. The existing field has its origin in the functioning of the human brain in processing information, recognizing pattern, learning from observations and experiments, storing and retrieving information from memory, etc. In particular, the power industry being on the verge of epoch changing due to deregulation, the power engineers require Computational intelligence tools for proper planning, operation and control of the power system. Most of the CI tools are suitably formulated as some sort of optimization or decision making problems. These CI techniques provide the power utilities with innovative solutions for efficient analysis, optimal operation and control and intelligent decision making. This edited volume deals with different CI techniques for solving real world Power Industry problems. The technical contents will be extremely helpful for the researchers as well as the practicing engineers in the power industry.
(source: Nielsen Book Data)

• Chapter 1. Characterization of Fuzzy Tree Searches: A Perspective.-
• Chapter 2. A Modified SOM Based RBFN for Rotation Invariant Clear and Occluded Fingerprint Recognition.-
• Chapter 3. An Unsupervised OCA based RBFN for Clear and Occluded Face Identification.-
• Chapter 4. Analyzing the Impact of Human Behaviour over Machine Learning.-
• Chapter 5. An Improved RC4 with Statistical Analysis on Cipher Texts.-
• Chapter 6. Gathering of Mobile Robots in Presence of Horizontal Obstacles.-
• Chapter 7. Design of Wireless Sensor Node to Measure Vibration and Environment Parameter for Structural Health Monitoring Application.-
• Chapter 8. Economic Load Dispatch considering non-smooth Cost Functions Using Predator Prey Optimization.-
• Chapter 9. Sparse Denoising in Speckle Reduction: A Comparative Study of Dictionaries.-
• Chapter 10. Compact RS(32, 28) Encoder.-
• Chapter 11. Graphene-silicene Composite can increase the Efficiency of Cloud Computing.-
• Chapter 12. Object Oriented Modeling of IDEA for E-learning Security.-
• Chapter 13. An Improved BAT Optimized Cluster Based Routing for Wireless Sensor Networks.-
• Chapter 14. A Hybrid Ant Routing Algorithm for Reliable throughput Using MANET.-
• Chapter 15. Development of Type 2 Fuzzy Rough Ontology Based Middleware for Context Processing in Ambient Smart Environment.-
• Chapter 16. Multiple Image Encryption Using Genetic Algorithm.-
• Chapter 17. Knowledge Base System Architecture on CBR for Detection of Cholera Disease.-
• Chapter 18. Efficient Adaptive Routing Algorithm for WSNs with Sink Mobility.-
• Chapter 19. Detection of Degree of Sickness of Affected Eye Using Fuzzy Logic & Histogram Analysis.-
• Chapter 20. Element Spacing Optimization of Low Side Lobe Concentric Hexagonal Antenna Arrays Using MOEA/D.-
• Chapter 21. QPSO for Synthesis of Scanned Linear Array Antenna for Fixed Side Lobe Level and First Null Beam Width including Wide Null Placement.-
• Chapter 22. Decision Feedback Equalization for MIMO Systems.-
• Chapter 23. Fuzzy Logic Based Handover in 3GPP LTE Network.-
• Chapter 24. FPGA Implementation of Novel Discrete Phase Locked Loop.-
• Chapter 25. Scaling Theory for the Effective Conducting Path Effect (ECPE) of Tri Material Tunnel Field Effect Transistors.-
• Chapter 26. Color Image Segmentation Using Cauchy Mutated PSO.-
• Chapter 27. Large Scale Global Optimization Using Dynamic Population Based DE.-
• Chapter 28. A Novel Pre-processing Approach for Human Face Recognition Invariant to Illumination.-
• Chapter 29. Modeling and Simulation of Jerk Driven Damper: A New Semi-active Suspension System for Vehicle.-
• Chapter 30. Harmonic Frequency Generation of a Ring Oscillator Using VCO.-
• Chapter 31. Amplifier Design Optimization in CMOS.-
• Chapter 32. An Application of ANFIS Based Intelligence Technique for Predicting Tool Wear in Milling.-
• Chapter 33. A High Performance Elliptic Curve Cryptographic Processor for FPGA Platform.-
• Chapter 34. Multi Focus and Multi Exposure Based Color Image Fusion for CWD.-
• Chapter 35. A Compact Analytical Model for 2-D Triple Material Surrounding Gate Nanowire Tunnel Field Effect Transistors.-
• Chapter 36. Application of Particle Swarm Optimization Technique in Thinned Hexagonal and Concentric Hexagonal Antenna Array for Side Lobe Level Reduction.-
• Chapter 37. Bearing only Tracking Using Sparse-grid Gauss-Hermite Filter.-
• Chapter 38. Novel Design and Implementation of Passive Infra-red Sensor in Steel Industry Automation.-
• Chapter 39. A Comparative Study of Feature Selection and Machine Learning Methods for Sentiment Classification on Movie Data Set.-
• Chapter 40. Enhancement of Transmission System Loadability During Contingency by Optimal Allocation of Facts Devices Using PSO.-
• Chapter 41. Fault Diagnosis of Broken Rotor Bars in Induction Motor Using Multi-scale Entropy and Back Propagation Neural Network.-
• Chapter 42. Design of a Signal Sensor for Analysing Biological Activities at Cellular Level.-
• Chapter 43. Fuzzy PID Control for Ball and Beam Mechanism.-
• Chapter 44. Framework for Smart Health: Towards Connected Data from Big Data.-
• Chapter 45. Capacity Analysis of ZF Receiver in Correlated MIMO Nakagami-m Channel.-
• Chapter 46. Neural Estimations of First Null Beam Width for Broadside and End-fire Uniform Linear Antenna Arrays.-
• Chapter 47. Representing the Extended H Filter (EHF) as a Modified Extended Kalman Filter (EKF) for Predicting the Range of the Robustness Bound.-
• Chapter 48. Performance Evaluation of Forward Error Correction Schemes in Wireless Body Area Networks.-
• Chapter 49. Simulating Self-Recovering Electric Circuits Using Neural Networks.-
• Chapter 50. Dynamic Scenarios in Embedded System Verification.-
• Chapter 51. PSO in Concentric Circular Arrays for Side Lobe Reduction with Symmetric Relocation Boundary Condition.-
• Chapter 52. Ear Recognition Using Force Field Transform and Collaborative Representation Based Classification with Single Training Sample per Class.-
• Chapter 53. Demonstration of GPGPU Accelerated Computational Fluid Dynamics Calculations.-
• Chapter 54. High Performance Current mode Receiver Design for On-chip VLSI Interconnects.-
• Chapter 55. CMOS Amplifier Design Using Simplified gm/Id Technique.-
• Chapter 56. Solution of Optimal Power Flow by an Opposition-based Gravitational Search Algorithm.-
• Chapter 57. Information Systems and Artificial Intelligence Technology Applied in Concrete Road Design.-
• Chapter 58. Multi-Hop Secured Video Transmission Using Dual-Channel Dual-path Routing against Packet Copy Attack.-
• Chapter 59. Static Analysis: A Survey of Techniques and Tools.-
• Chapter 60. A LabVIEW based Data Acquisition System in a Quarter Car Test Rig to Optimise Vehicle Suspension System.-
• Chapter 61. A Computational Structural Biology of SoxR and DNA: A Modelling and Interactive Discern to Express the sox Operon in Pseudaminobacter Salicylatoxidans (KCT001) for Global Sulphur Oxidation.-
• Chapter 62. Empirical Evaluations Using Character and Word n-grams on Authorship Attribution for Telugu Text.
• (source: Nielsen Book Data)

The idea of the 1st International Conference on Intelligent Computing and Applications (ICICA 2014) is to bring the Research Engineers, Scientists, Industrialists, Scholars and Students together from in and around the globe to present the on-going research activities and hence to encourage research interactions between universities and industries. The conference provides opportunities for the delegates to exchange new ideas, applications and experiences, to establish research relations and to find global partners for future collaboration. The proceedings covers latest progresses in the cutting-edge research on various research areas of Image, Language Processing, Computer Vision and Pattern Recognition, Machine Learning, Data Mining and Computational Life Sciences, Management of Data including Big Data and Analytics, Distributed and Mobile Systems including Grid and Cloud infrastructure, Information Security and Privacy, VLSI, Electronic Circuits, Power Systems, Antenna, Computational fluid dynamics & Heat transfer, Intelligent Manufacturing, Signal Processing, Intelligent Computing, Soft Computing, Bio-informatics, Bio Computing, Web Security, Privacy and E-Commerce, E-governance, Service Orient Architecture, Data Engineering, Open Systems, Optimization, Communications, Smart wireless and sensor Networks, Smart Antennae, Networking and Information security, Machine Learning, Mobile Computing and Applications, Industrial Automation and MES, Cloud Computing, Green IT, IT for Rural Engineering, Business Computing, Business Intelligence, ICT for Education for solving hard problems, and finally to create awareness about these domains to a wider audience of practitioners.
(source: Nielsen Book Data)

• Chapter 1. Deep Learning-Based Adaptive Deep Belief Neural Networks For Neonatal Apnea Level Classification Using Pre-Term Birth Health Record.-
• Chapter 2. Hybrid Feature Extraction Technique for Tamil Automatic Speech Recognition System in Noisy Environment.-
• Chapter 3. Implementation and Image Transformation for Ground Penetration Image Radar System.-
• Chapter 4. Effect of Geospatial Weather Features on COVID-19 Spread in India using Machine Learning.-
• Chapter 5. Adiabatic Logic Code Converters Design at Different Sub Micron Technologies.-
• Chapter 6. A Cross connected Switch Capacitor Multi Level Inverter: A Proposed Topology and its Analysis.-
• Chapter 7. A Comparative study on Sentiment Analysis of Uber and Ola Customer Reviews based on Machine Learning Approaches.-
• Chapter 8. A Cost-Effective IoT Assisted Framework For Automatic Irrigation.-
• Chapter 9. Constrained Optimization based Routing for Multipath and Multihop Propagation in WSN.-
• Chapter 10. Performance comparison of fuzzy logic and evolutionary algorithm optimized controller for a multi-area power system.-
• Chapter 11. Leveraging CNNs for real-time pothole detection.-
• Chapter 12. IoT Devices for Detecting and Machine Learning for Predicting COVID-19 Outbreak.-
• Chapter 13. Text Detection from Scene and Born Images: How Good is Tesseract?.-
• Chapter 14. Load Frequency Control Of Hybrid Power System Integrated With Solar-Thermal And Geothermal System.-
• Chapter 15. An Improved Stock Market Index Prediction System based on LSTM.
• (source: Nielsen Book Data)

This book presents best selected research papers presented at the Third International Conference on Recent Trends in Communication and Intelligent Systems (ICRTCIS 2021), organized by Arya College of Engineering and IT, Jaipur, on 22-23 October 2021. It discusses the latest technologies in communication and intelligent systems, covering various areas of communication engineering, such as signal processing, VLSI design, embedded systems, wireless communications, and electronics and communications in general. Featuring work by leading researchers and technocrats, the book serves as a valuable reference resource for young researchers and academics as well as practitioners in industry.
(source: Nielsen Book Data)

• Preface; Organization; Contents; 1 Tweet Sentiment Classification Using an Ensemble of Machine Learning Supervised Classifiers Employing Statistical Feature Selection Methods; Abstract; 1 Introduction; 2 Related Work; 2.1 Machine Learning (ML) Approach; 2.2 Lexicon Based Approach; 2.3 Hybrid Approach; 2.4 Ensemble Methods; 3 Proposed Work; 3.1 Tweet Pre-processing; 3.2 Feature Selection; 3.3 Point Wise Mutual Information (PMI); 3.4 Chi-square Method; 3.5 Multi-class Sentiment Classification; 3.5.1 Naive Bayes Classifier; 3.5.2 Maximum Entropy Classifier; 3.5.3 Support Vector Machine.

• 3.5.4 Ensemble Learners3.5.5 Bagging; 3.5.6 Boosting; 4 Experiments; 4.1 Baseline and Ensemble Methods; 4.2 Dataset; 5 Results and Analysis; 6 Conclusion; References; 2 Multiple Fuzzy Correlated Pattern Tree Mining with Minimum Item All-Confidence Thresholds; Abstract; 1 Introduction; 1.1 Fuzzy FP-Tree Algorithm; 1.2 Multiple Fuzzy FP-Tree Algorithm; 2 The Multiple Fuzzy Correlated Pattern Tree Construction Algorithm; 2.1 An Example; 3 Proposed Multiple Fuzzy Correlated Pattern Growth Mining Algorithm; 3.1 An Example; 4 Experimental Results; 5 Conclusions and Future Work; Acknowledgments.

• 3 Autonomous Visual Tracking with Extended Kalman Filter Estimator for Micro Aerial VehiclesAbstract; 1 Introduction; 2 Extended Kalman Filter Estimator; 3 Autonomous Visual Tracking System; 4 Simulation and Experimental Results; 5 Conclusions; References; 4 Identification of Uncertain Mass and Stiffness Matrices of Multi-Storey Shear Buildings Using Fuzzy Neural Network Modelling; Abstract; 1 Introduction; 2 Fuzzy Set Theory and Preliminaries; 3 Learning Algorithm for Single Layer Fuzzy Neural Network; 4 System Identification of Structural Parameter in Fuzzified Form.

• 5 Results and Discussion6 Concluding Remarks; References; 5 Fuzzy Approach to Rank Global Climate Models; Abstract; 1 Introduction; 2 Performance Indicators; 3 F-TOPSIS; 4 Results and Discussion; 5 Summary and Conclusions; Acknowledgments; Appendix; Sample Calculation for Computation Of Di+, Di2212, Ci; References; 6 Comparative Analysis of ANFIS and SVR Model Performance for Rainfall Prediction; Abstract; 1 Introduction; 2 Related Works; 3 Methodology; 3.1 Adaptive Neural Fuzzy Inference System (ANFIS); 3.2 Support Vector Regression; 4 Area of Study and Data Set.

• 5 Evaluation Criteria of the Performance of the Models6 Results and Discussion; 7 Conclusions; References; Cross Domain Sentiment Analysis Using Different Machine Learning Techniques; 1 Introduction; 2 Literature Review; 3 Methodology; 3.1 Performance Analysis; 4 Proposed Framework; 4.1 Preprocessing; 4.2 Model Generation; 4.3 Matrix Generation; 5 Results and Analysis; 6 Conclusion; References; Combining ELM with Random Projections for Low and High Dimensional Data Classification and Clustering; 1 Introduction; 2 Extreme Learning Machine; 3 Random Projection.

This proceedings bring together contributions from researchers from academia and industry to report the latest cutting edge research made in the areas of Fuzzy Computing, Neuro Computing and hybrid Neuro-Fuzzy Computing in the paradigm of Soft Computing. The FANCCO 2015 conference explored new application areas, design novel hybrid algorithms for solving different real world application problems. After a rigorous review of the 68 submissions from all over the world, the referees panel selected 27 papers to be presented at the Conference. The accepted papers have a good, balanced mix of theory and applications. The techniques ranged from fuzzy neural networks, decision trees, spiking neural networks, self organizing feature map, support vector regression, adaptive neuro fuzzy inference system, extreme learning machine, fuzzy multi criteria decision making, machine learning, web usage mining, Takagi-Sugeno Inference system, extended Kalman filter, Goedel type logic, fuzzy formal concept analysis, biclustering etc. The applications ranged from social network analysis, twitter sentiment analysis, cross domain sentiment analysis, information security, education sector, e-learning, information management, climate studies, rainfall prediction, brain studies, bioinformatics, structural engineering, sewage water quality, movement of aerial vehicles, etc.

• Intro
• Preface
• About This Book
• Contents
• Editors and Contributors
• Scenario-Based Neural Network Model for Integrated Lighting Schemes in Residential Buildings
• 1 Introduction
• 2 Related Work
• 3 Background
• 4 Methodology
• 4.1 Data Gathering and Analysis
• 4.2 Simulation in DIALux
• 4.3 BPNN Model
• 5 Results
• 5.1 DIALux Model
• 5.2 BPNN Model
• 6 Conclusion
• References
• Electrical Muscle Stimulation Models Identification Based on Hammerstein Structure and Gravitational Search Algorithm
• 1 Introduction
• 2 Problem Description

• 3 EMS System Design Methodology
• 4 Simulation Results and Discussions
• 5 Conclusions
• References
• Experimental Analysis of ``A Novel Swarm Intelligence Optimization Approach: Sparrow Search Algorithm''
• 1 Introduction
• 2 Explanation of Sparrow Search Algorithm (SSA)
• 3 Flow Chart of Sparrow Search Algorithm (SSA)
• 4 Experimental Outcomes as Well as Analysis
• 4.1 Tuning of the Parameters and Environment of Experiment
• 4.2 Analysis From the Optimal Point of View
• 4.3 Analysis From Convergence Point of View
• 5 Conclusion
• References

• Solving FJSP Using Multi-agent System with GA
• 1 Introduction
• 2 Literature Review
• 3 The Problem Definition
• 4 The Architecture of Multi-agent System
• 5 Experimental Findings
• 6 Conclusion
• References
• A Comparative Analysis on Optimal Power Allocation and Pairing of User in Downlink NOMA System
• 1 Introduction
• 2 System Model
• 3 User Pairing Strategy and Optimal Power Allocation Technique
• 3.1 User Pairing Strategy
• 3.2 Power Allocation Technique
• 4 Results and Discussions
• 5 Conclusion
• References
• Sentiment-Based Community Detection Using Graph Transformation

• 1 Introduction
• 2 Related Work
• 2.1 Sentiment Analysis in Social Networks
• 2.2 Community Detection
• 3 Sentiment-Based Community Detection
• 3.1 Sentiment Analysis
• 3.2 Graph Generation
• 3.3 Graph Transformation
• 3.4 Community Detection
• 4 Experimental Setup and Results
• 5 Conclusion
• References
• Multivariate Data-Driven Approach to Identify Reliable Neural Components and Latency in a P300 Dataset Using Correlated Component Analysis
• 1 Introduction
• 2 Materials and Method
• 2.1 Preprocessing
• 2.2 Application of Correlated Component Analysis

• 2.3 Signal-to-Noise Ratio
• 2.4 Neural Activity Using the Forward Model Approach
• 3 Result
• 4 Discussion
• 5 Conclusion
• References
• A Framework for an Intelligent Voice-Assisted Language Translation System for Agriculture-Related Queries
• 1 Introduction
• 2 Background
• 3 Methodology
• 3.1 Kannada Speech Typing
• 3.2 Kannada Text to English Text Translation and Vice Versa
• 3.3 Kannada Text to Speech Conversion
• 4 Results
• 5 Analysis
• 5.1 Comparison with Other Translation Systems
• 6 Conclusion
• 7 Future Scope
• References

The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons

• Chapter 1. Design and Construction of a Dual Axis Solar Tracking System by Astronomical Algorithm.-
• Chapter 2. Estimation of Magnetic Flux linkage in SRM using various defuzzification techniques.-
• Chapter 3. Multilevel Inverter based STATCOM for Distribution System.-
• Chapter 4. Sensitivity Analysis and Design Optimization of Synchronous Reluctance and Permanent Magnet Motors.-
• Chapter 5. A New Heuristic algorithm for Economic Load Dispatch incorporating wind power.-
• Chapter 6. Enhanced Grasshopper Optimization Algorithm For Numerical Optimization.-
• Chapter 7. Eco-Routing - To Reduce Vehicle CO2 Emissions by CACC: An IoT Application.-
• Chapter 8. Fuzzy Sliding Mode Control of DC-DC Boost Converter with Right-Half Plane Zero.-
• Chapter 9. Liquid Level Control of Non Linear Process Using Big Bang - Big Crunch Optimization Based Controller.-
• Chapter 10. Impact of PV Cells and MPPT Controller on Power System Dynamics.-
• Chapter 11. Wavelet Feature Based Microcalcification Detection in Mammogram.-
• Chapter 12. Reliable Radiation Hardened Memory Cells for Single-Event Multiple Effects.-
• Chapter 13. Finger Vein Identification Using Deep Convolutional Generative Adversarial Networks.-
• Chapter 14. Computer Aided Detection of Malignant Mass in Mammogram using U-Net Architecture.-
• Chapter 15. Visualization and Evaluation of Methane Gas Leakage by Thermal Image Processing using Supervised Deep Learning Models.
• (source: Nielsen Book Data)

This book gathers selected papers presented at the 6th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the Anna University, Chennai, India, from 20 to 22 April 2020. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.
(source: Nielsen Book Data)

• Filtration of Noise in Images Using Median Filter
• Chapter 83. PVDF Polymer Based MEMS Cantilever for Energy Harvesting
• Chapter 84. Separation of Blood Cells Using Silicon Based Micro-filter
• Chapter 85. Optimal Image Enhancement Method Based on Histogram Analysis
• Chapter 86. Epileptic Seizure Characterization Using Transform Domain
• Chapter 87. WSN Backbone Formation Using Non-Probabilistic Spanning Tree Algorithm
• Chapter 88. Design Specifications of Reversible Logic Using CMOS and Quantum Dot Cellular Automata
• Chapter 89. Effective Models for Segmentation and Shape Tracking of Cells
• Chapter 90. Real Time Rule Based Scheduling System for Integrated Delivery in a Semiconductor Manufacturing Using Evolutionary Algorithm Based Simulation Approach
• Chapter 91. Least Square Mean Optimization Based Real Object Detection and Tracking
• Chapter 92. Improving Efficiency and Fairness in Mobile AD HOC Networks
• Chapter 93. A Novel Content Based Image Indexing and Retrieval Framework Using Clock Wise Local Difference Binary Pattern (CWLDBP)
• Chapter 94. Self-organization Strategies for Hierarchical network structure in Wireless Ad-Hoc Networks: A Short Survey
• Chapter 95. Efficient Fused Architectures for FFT Processor Using Floating Point Arithmetic
• Chapter 96. Design, Test and Evaluation of Trace-Buffer Inserted FPGA System
• Chapter 97. Mining Based Device Control for Home Automation
• Chapter 98. Methods and Materials for Adsorbing the Benzene Molecule Based on MEMS
• Chapter 99. A Multi Parametric Hybrid Cooperative Localization Scheme for Mobile Communication Network
• Chapter 100. Interface and Control of Appliances by the Analysis of Electrooculography Signals
• Chapter 101. An Advanced Magnetic Resonance Imaging Technique for Detection of Abnormal Changes Using Artificial Neural Network
• Chapter 102. Implementation of a Hybrid Renewable Energy Plant with Remote Monitoring Feature
• Chapter 103. Artificial Neural Network Control Strategy for.

The book is a collection of high-quality peer-reviewed research papers presented in the first International Conference on International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (ICAIECES -2015) held at Velammal Engineering College (VEC), Chennai, India during 22? 23 April 2015. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. Researchers from academic and industry present their original work and exchange ideas, information, techniques and applications in the field of Communication, Computing and Power Technologies.

• Automatic Generation Control Using Novel PD plus FOPI Controller Tuned By Salp Swarm Algorithm.- Plant Disease Identification and Detection Using Support Vector Machines and Artificial Neural Networks.- Efficiency Comparison and Analysis of Pseudo-Random Generators in Network Security.- A Detailed Analysis of Intruders' Activities in the Network through the Real-Time Virtual Honeynet Experimentation.- Global and Local Signed Pressure Force Functions Active Contour Model Based on Entropy.- Optimization of Big Data Using Rough Set Theory and Data Mining for Textile Applications.- Machine Learning Based Device for Visually Impaired Person.- Forest Cover Classification Using Stacking Of Ensemble Learning and Neural Networks.- Predicting the Trends of Price for Ethereum Using Deep Learning Techniques.- Development of a Novel Embedded Board: Canduino.- Sales Demand Forecasting using Lstm Network.- Privacy Enhanced Emotion Recognition Approach for Remote Health Advisory System.- An Effective Approach for Plant Monitoring, Classification and Prediction Using Iot and Machine Learning.- Encrypted Transfer of Confidential Information Using Steganography and Identity Verification Using Face Data.- Intelligent Wireless Sensor Networks for Precision Agriculture.- Mining Of Removable Closed Patterns in Goods Dataset.- Comparative Analysis and Performance of D-STATCOM Device Using PI and Second Order Sliding Mode Control.- Stock Market Prediction Using Long Short Term Memory.- Dragonfly Algorithm for Optimal Allocation of D-STATCOM in Distribution Systems.- SRF Control Algorithm for Five Level Cascaded H-Bridge D-STATCOM in Single Phase Distribution System.
• (source: Nielsen Book Data)

This book gathers selected papers presented at the 4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the SRM Institute of Science and Technology, Kattankulathur, Chennai, India, from 11 to 13 April 2019. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.
(source: Nielsen Book Data)

• Fast Convergent Gravitational Search Algorithm
• An Experimental Perusal of Impedance Plethysmography for Biomedical Application
• Compressive Sensing: An Efficient Approach for Image Compression & Recovery
• Optimal Location of Renewable Energy Generator in Deregulated Power Sector
• A Genetic Improved Quantum Cryptography Model to Optimize Network Communication
• Neural Networks
• Based Framework for Detecting Chemically Ripened Banana Fruits
• Low Power CMOS Low Transconductance OTA for Electrocardiogram Applications
• Spiral Resonator Microstrip Patch Antenna with Metamaterial on Patch and Ground
• A P-OLSR AND E-OLSR Routing Protocols For Urban Vehicular Ad Hoc Networks (VANETs)
• Evaluation of Similarity Measure to find Coherence
• Bagged Random Forest approach to classify Sentiments based on Technical Words
• Healthcare Services Customers ICT-Related Expectations and Experiences
• Analysis of SNR Improvement Using Compressive Sensing for Musical Instruments after Signal Compression
• A Framework to Impede Phishing Activities Using Neural Net and Website Features
• Overcoming the Security Shortcomings between Open vSwitch and Network Controller.

The book gathers the best research papers presented at the International Conference on Recent Trends in Communication and Intelligent Systems (ICRTCIS 2019), organized by Rajasthan Technical University Kota, and Arya College of Engineering and IT, Jaipur, on 8-9 June 2019. It discusses the latest technologies in communication and intelligent systems, covering various areas of communication engineering, such as signal processing, VLSI design, embedded systems, wireless communications, and electronics and communications in general. Featuring work by leading researchers and technocrats, the book serves as a valuable reference resource for young researchers and academics as well as practitioners in industry.