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• 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)

• Optimal Sizing and Siting of Distributed Generation for Losses Minimization in Distribution System using Fractional Levy Flight Bat Algorithm.- Performance Analysis of a Standalone Inverter System under Variable Loading Conditions.- Performance Study of a Wind-Battery based Islanding System.- Fabric Defect Detection Using Computer Vision.- Energy Audit and Advancement of Solar Installation in SIT: A Case Study.- Random Fault Positioning Based Voltage Sag Assessment for a Large Power Transmission Network.- Feasibility Analysis of SEPIC Converter as a PV Balancer for Practical Photovoltaic System.- Market Clearing Mechanism by Optimal Scheduling of Electric Power Suppliers.- Anti Camcorder Piracy Display System.- Performance Evaluation of HAWT and VAWT based WECS with Advanced Hill Climb Search MPPT and Fuzzy Logic Controller for Low Wind Speed Regions.
• (source: Nielsen Book Data)

This book is a collection of high-quality research papers presented at the International Conference on Smart and Intelligent Systems (SIS 2021), which will be held in Velagapudi Ramakrishna Siddhartha Engineering College (VRSEC), Andhra Pradesh, India, during February 25-26, 2021, in virtual mode. It highlights how recent informatics intelligent systems have successfully been used to develop innovative smart techniques and infrastructure in the field of modern engineering and technology. The book will also be of interest to those working in the field of computational intelligence, smart computer network and security analysis, control and automation system, cloud computing, fog computing and IoT, smart grid communication, smart cities, solar cell synthesis and their performance, green technology, and many more. The contents of this book prove useful to researchers and professionals.
(source: Nielsen Book Data)

• Prediction of Liver Cancer by Artificial Neural Network.- Remarks on the limit-circle classification of Conformable Fractional Sturm-Liouville Operator.- Improving Search Relevance with Word Embedding Based Clusters.- Improving Search Relevance with Word Embedding Based Clusters.- Diagnosis of Parkinson's Disease with Acoustic Sounds by Rule Based Model.- Development of Face Recognition System by Using Deep Learning and FaceNet Algorithm in the Operations Processes.- Mobile Assisted Travel Planning Software: The Case of Burdur.- Optimal Coordination of Directional Overcurrent Relays Using Artificial Ecosystem-based Optimization.- The Effect of Auscultation Areas on Nonlinear Classifiers in Computerized Analysis of Chronic Obstructive Pulmonary Disease.
• (source: Nielsen Book Data)

This book briefly covers internationally contributed chapters with artificial intelligence and applied mathematics-oriented background-details. Nowadays, the world is under attack of intelligent systems covering all fields to make them practical and meaningful for humans. In this sense, this edited book provides the most recent research on use of engineering capabilities for developing intelligent systems. The chapters are a collection from the works presented at the 2nd International Conference on Artificial Intelligence and Applied Mathematics in Engineering held within 09-10-11 October 2020 at the Antalya, Manavgat (Turkey). The target audience of the book covers scientists, experts, M.Sc. and Ph.D. students, post-docs, and anyone interested in intelligent systems and their usage in different problem domains. The book is suitable to be used as a reference work in the courses associated with artificial intelligence and applied mathematics. .
(source: Nielsen Book Data)

• State and Trends of Machine Learning Approaches in Business: An Empirical Review.- Piecewise Demodulation based on Combined Artificial Neural Network for Quadrate Frequency Shift Keying Communication Signals.- A New Variable Ordering Method for the K2 Algorithm.- A Benefit Optimization Approach to the Evaluation of Classification Algorithms.- Financial Fraud Detection through Artificial Intelligence.- Deep Learning-based Software Energy Consumption Profiling.- Prediction of Potential Bank Customers: Application on Data Mining.- The Model Selection Methods for Sparse Biological Networks.- A Hybrid Approach for the Sentiment Analysis of Turkish Twitter Data.- Text Mining and Statistical Learning for the Analysis of the Voice of the Customer.- Effect the Number of Reservations on Implementation of Operating Room Scheduling with Genetic Algorithm.- Statistical Learning Applied to Malware Detection.- Improved Social Spider Algorithm via Differential Evolution.- On the Prediction of Possibly Forgotten Shopping Basket items.- Selection and Training of School Administrators in Different Countries.- A Walking and Balance Analysis Based on Pedobarography.- On the Notion of Structure Species in the Bourbaki's Sense.
• (source: Nielsen Book Data)

This book features research presented at the 1st International Conference on Artificial Intelligence and Applied Mathematics in Engineering, held on 20-22 April 2019 at Antalya, Manavgat (Turkey). In today's world, various engineering areas are essential components of technological innovations and effective real-world solutions for a better future. In this context, the book focuses on problems in engineering and discusses research using artificial intelligence and applied mathematics. Intended for scientists, experts, M.Sc. and Ph.D. students, postdocs and anyone interested in the subjects covered, the book can also be used as a reference resource for courses related to artificial intelligence and applied mathematics.
(source: Nielsen Book Data)

The book compiles the research works related to smart solutions concept in context to smart energy systems, maintaining electrical grid discipline and resiliency, computational collective intelligence consisted of interaction between smart devices, smart environments and smart interactions, as well as information technology support for such areas. It includes high-quality papers presented in the International Conference on Intelligent Computing Techniques for Smart Energy Systems organized by Manipal University Jaipur. This book will motivate scholars to work in these areas. The book also prophesies their approach to be used for the business and the humanitarian technology development as research proposal to various government organizations for funding approval.
(source: Nielsen Book Data)

• Intro
• Preface
• Contents
• About the Editors
• 1 Formation of the Energy-Efficient Platform of Hi-Tech Development of Renewable Power
• 1.1 Introduction
• 1.2 Models and Research Methods
• 1.3 Scientific Novelty
• 1.4 Practical Significance
• 1.5 Conclusion
• References
• 2 Energy Saving Methods of the Industrial Power Development According to the Factors of the New Industrial Revolution
• 2.1 Introduction
• 2.2 Models and Methods of the Industrial Energy Development According to the Factors of the Industrial Revolution
• 2.3 Scientific Novelty
• 2.4 Practical Significance

• 2.5 Conclusion
• References
• 3 Design Methods of Organizing High-Tech Processes of Gas Combustion by Power Efficiency Criteria
• 3.1 Introduction
• 3.2 Models and Organization Methods of High-Tech Fuel Combustion Processes Based on the Project Approach
• 3.3 Scientific Novelty
• 3.4 Practical Significance
• 3.5 Conclusion
• References
• 4 Modeling of Processes of Increase in Power and Environmental Efficiency of Power Process Units
• 4.1 Introduction
• 4.2 Models for Assessment and Regulation of the Rate of Increasing Energy and Environmental Efficiency of Plants

• 4.3 Scientific Novelty
• 4.4 Modeling of Processes of Increase in Power and Environmental Efficiency
• 4.5 Practical Significance
• 4.6 Conclusion
• References
• 5 Vessel's Maneurability Assessment Using Linguistic Numbers
• 5.1 Introduction
• 5.2 Model Representation and Problem Statement
• 5.3 The Method of Solving the Problem
• 5.4 Results of Numerical Simulation
• References
• 6 Simulation of Thickness-Dependent Polarization Switching in Ferroelectric Thin Films Using COMSOL Multiphysics
• 6.1 Introduction
• 6.2 Mathematical Model

• 6.3 The Use of COMSOL Multiphysics Platform for Model Implementation
• 6.4 Simulation Results and Discussion
• 6.5 Conclusion
• References
• 7 Assessment of the Economic Risk of Projects for the Export of Electricity from Russia to Northeast Asia
• 7.1 Introduction
• 7.2 Problem Statement (Assessment of the Projects Effectiveness)
• 7.3 Research Method (Economic Risk Assessment)
• 7.4 Assumed Economic Conditions
• 7.5 The Calculation Results and Their Analysis
• 7.6 Conclusions
• References
• 8 Development of an Eco-Friendly Wave-Type Engine for Small River Vessels
• 8.1 Introduction

• 8.2 Wave Type Driver
• 8.3 Conclusions
• References
• 9 Vessels Traffic Data Capturing and Analysis
• 9.1 Introduction
• 9.2 Overview of Ways to Collect Vessels Traffic Data
• 9.2.1 Radar
• 9.2.2 Video Camera
• 9.2.3 AIS
• 9.3 Collecting AIS Traffic Data
• 9.4 Collecting AIS Traffic Data
• 9.5 Conclusion
• References
• 10 Economic Feasibility Assessment of Using Ammonia for Hydrogen Transportation
• 10.1 Introduction
• 10.2 Choosing a Method for Separating a Nitrogen-Hydrogen Mixture and Removing Undecomposed Ammonia

This book gathers selected papers presented at the International Conference on SMART Automatics and Energy (SMART-ICAE 2021), held in Far Eastern Federal University, Vladivostok, Russian Federation during 7-8 October 2021. The book will be useful for wide range of specialists in the field of designing innovative solutions and organizational measures that increase the efficiency of the use of industry technologies in their various manifestations. The issue is also of interest to scientific and engineering personnel engaged in the achievements and farsighted researches in the area of intellectual technology use for solving of real, applied tasks in various areas of industries and policies of nations and systems and for students and undergraduates studying "Power systems engineering and electrotechnics", "Automatized systems", "Managerial systems in power technologies", etc., and postgraduate students in the corresponding branches of study.
(source: Nielsen Book Data)

• Hybrid health-aware supervisory control framework with a prognostic decision-making.- Reconfiguration of nonlinear faulty systems via linear methods.- Tri-valued evaluation of residuals as a method of addressing the problem of fault compensation effect.- Leader-following formation control for networked multi-agent systems under communication.- Regular approach to additive fault detection in discrete-time linear descriptor systems.- Descriptor principle in residual filter design for strictly Metzler linear systems.- Hierarchical model for testing a distributed computer system.- Diagnostics of rotary vane vacuum pumps using signal processing, analysis and clustering methods.- Neural modelling of steam turbine control stage.- Diagnostic of calfs body temperature by using thermal imaging camera and correction of camera errors.- Intruder detection on mobile phones using keystroke dynamic and application usage patterns.- . Application of deep learning to seizure classification.- Patient managed patient health record based on blockchain technology.
• (source: Nielsen Book Data)

This book contains a collection of 13 carefully selected papers contributed by researches in technical and partial medical diagnostics as well as fault-tolerant control and constitutes a comprehensive study of the field. Nowadays technical diagnostics and fault-tolerant control are a field of intensive scientific research that covers well-established topics along with emerging developments in control engineering, artificial intelligence, applied mathematics and statistics. At the same time, a growing number of applications of different fault diagnosis methods, especially in the electrical, mechanical, chemical and medical areas, are being observed. The aim of the book is to show the bridge between technical and medical diagnosis based on analytical and artificial intelligence methods and techniques. The book is divided into three parts: I. Fault-Tolerant Control and Reconfiguration, II. Fault Diagnosis of Processes and Systems, III. Medical Applications. The book is of interest to scientists, engineers and academics dealing with the problems of designing technical diagnosis and fault-tolerant control systems. Its target readers are also junior researchers and students of control, artificial intelligence and computer engineering.
(source: Nielsen Book Data)

• Conceptual Model of Agro-industrial Cyborg.- Cluster Analysis of the Loading Time-series with the aim of Consistent Durability Estimation.- Intellectual Biotechnical Systems in Livestock: Theoretical Aspects.- Intelligent Systems of Telemedicine Monitoring for Countryside and Agriculture.- Neuroeconomic Modeling of Distributed Barter Systems.- The use of Vegetation Indices in Comparison to Traditional Methods for Assessing Overwintering of Grain Crops in the Breeding Process.- The Hybrid Detection Methodology of Attacks for 5G.- Islanding and Grid Disturbance Detection Based on Multi-SVMs Delay Validation in Synchronous Dominated Microgrids.- Smooth Switching Strategy for Hydropower Microgrid with Auxiliary Load Shedding Control.- Automatic Identification Technology for Distribution Terminals Based on Unlicensed LPWAN.- Multi-machine Joint Video Tracking Mechanism and its Application for Substation Safety Protection.- Substation Equipment Defect Identification Method Based on Mask R-CNN Algorithm.- Comprehensive Evaluation Method and Index System for Electric-Hydrogen-Storage Integrated Energy Network.- Multi-objective Optimal Scheduling for Electricity Hydrogen ESSs Integrated Network in Chongli Winter Olympics Zone.- The Evaluation Index System of Electric Power Industry Supply Chain Management Based on FAHP.
• (source: Nielsen Book Data)

This book includes refereed papers presented at the Second International Conference on Artificial Intelligence and Power Engineering (AIPE2021), which was held in Moscow, Russia, on December 17-19, 2021. The general scope of the book includes the most recent advances in the development of artificial intelligence systems and their applications in a variety of fields, ranging from power engineering to biology and education. Given the rapid development of artificial intelligence systems, the book emphasizes the importance of intensifying training for a growing number of relevant specialists, particularly in energy and power engineering, in order to improve the effectiveness of the creation and diagnosis of appropriate technical solutions. Scientists are attempting to replicate the innate intellectual abilities of humans and other organisms in digital artificial intelligence systems. In-depth research into biological and self-organizing systems can provide new approaches for developing more and more effective artificial intelligence methods. The papers included in this volume cover thematic materials in the following areas: mathematics and computer algorithms; analysis of some technical solutions; and technological and educational approaches. The book is a collection of cutting-edge papers in the field, covering a wide range of topics relevant to both business managers and engineering professionals. These proceedings are an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence systems and their expanding applications, due to their breadth and depth. The intended readership includes specialists, students, and other groups of readers who want to know where artificial intelligence systems can be used to great advantage in the future.
(source: Nielsen Book Data)

• Chatbots as a Tool to Optimize the Educational Process.- Intelligent System of Computer Aided Processes Planning.- Polypolar Coordination by the Multifocal Lemniscates.- Evaluation Method of Distributed Renewable Energy Access to Distribution Network Based on Variable Weight Theory.- Evaluation of Distribution Equipment Utilization Based on Data Driven.- Parametric Oscillations at Delays in the Forces of Elasticity and Damping.- Algebraic Harmony in Genomic DNA-texts and Long-range Coherence in Biological Systems.
• (source: Nielsen Book Data)

This book comprises refereed papers presented at The International Conference on Artificial Intelligence and Power Engineering (AIPE2020), held in Moscow, Russia, on December 25-27, 2020. The book's/conference's general scope covers the latest advances for the development of artificial intelligence systems and their applications in various fields from power engineering to biology and education. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in energy and power engineering to increase the effectiveness of creation and diagnosing of appropriate technical solutions. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of humans and other organisms. The in-depth study of biological and self-organizing systems provides new approaches to create more and more effective artificial intelligence methods. Topics of the included papers concern thematic materials in the following spheres: mathematics and computer algorithms; analysis of some technical solutions; technological and educational approaches. The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence systems and their growing applications. The intended readership includes specialists, students, and other circles of readers who would like to know where artificial intelligence systems can be applied in the future with great benefit.
(source: Nielsen Book Data)

• 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)

• Intro
• Contents
• Smart Energy Efficiency
• For a Smarter and More Sustainable City: Tipasa with Its Potentialities
• 1 Introduction
• 2 Methodology
• 3 Results and Discussions
• 4 Conclusion
• References
• Elephant Herding Optimization Metaheuristic to Minimize Electricity Cost in a Smart House
• 1 Introduction
• 2 Related Work
• 3 The Problem Modeling
• 4 The Proposed Solution Modeling
• 5 Simulation and Results
• 6 Conclusion
• References
• Multi-Objective Optimization of Stand-Alone Hybrid Renewable Energy System for Rural Electrification in Algeria
• 1 Introduction

• 2 Hybrid System Components Modelling
• 2.1 Solar PV
• 2.2 Wind Turbine
• 2.3 Storage Battery
• 2.4 Diesel Generator
• 2.5 DC/AC Converter
• 3 Problem Formulation
• 3.1 Particle Swarm Optimization
• 3.2 Objective Function and Constraints
• 3.3 Constraints
• 4 Results and Discussion
• 4.1 System Data
• 4.2 Analysis
• 5 Conclusion
• References
• Prediction and Characterization of Cooling Load Energy Performance of Residential Building Machine Learning Algorithms
• 1 Introduction
• 2 Methodology
• 3 Simulation Results and Discussion
• 4 Conclusion
• References

• Prediction and Characterization of Heating Load Energy Performance of Residential Building Machine Learning Algorithms
• 1 Introduction
• 2 Methodology
• 3 Simulation Results and Discussion
• 4 Conclusion
• References
• MPPT Based On Grey Wolf Optimization
• 1 Introduction
• 2 PV Module
• 3 Direct Torque Control DTC
• 3.1 The Definition of Primary Voltage Vectors
• 3.2 The Definition of Stator Flux Band Electromagnetic Torque
• 4 MPPT By GWO
• 5 Tuning PI Gains By Grey Wolf Otimizatiom
• 6 Simulation Results
• 7 Conclusion
• References

• Optimal Power Flow Management of the Algerian Electric Transmission System Using Moth Flame Optimizer Algorithm
• 1 Introduction
• 2 Formulation of the Optimal Power Flow Problem
• 2.1 Objective Functions
• 2.2 Constraints
• 3 Moth-Flame Optimization Algorithm MFO
• 3.1 Creating the Initial Population of Moths
• 3.2 Updating the Moths' Positions
• 3.3 Termination Criteria
• 4 Analysis of the Algerian Electrical Transport Network
• 4.1 Power Flow Results
• 4.2 Optimization Results
• 5 Conclusion
• References

• Wind Energy Conversion System Controlled by Particle Swarm Optimization Super Twisting Sliding Mode Control Equipped with Doubly Fed Induction Generator
• 1 Introduction
• 2 WECS Modeling
• 2.1 Wind Turbine Model
• 2.2 DFIG Model
• 2.3 Field Oriented Control of DFIG
• 3 Proposed Control Strategy Consept
• 4 Wind Turbine STSMC
• 5 DFIG STSMC
• 5.1 Active Stator Power Control
• 5.2 Reactive Stator Power Control
• 6 Overview of PSO Algorithm
• 7 Optimization Problem Selection
• 8 Simulation Results
• 9 Conclusion
• References

This book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the energy transition requires the use of techniques and tools based on artificial intelligence (AI) to overcome the challenges of the intermittence of resources and the cost of energy. The advent of the smart city makes an increased call for the integration of artificial intelligence and heuristics to meet the challenge of the increasing migration of populations to the city, in order to ensure food, energy, and environmental security of the citizen of the city and his well-being. This book is intended for policymakers, academics, practitioners, and students. Several real cases are exposed throughout the book to illustrate the concepts and methods of the networks and systems presented. This book proposes the development of new technological innovations-mainly ICT-the concept of "Smart City" appears as a means of achieving more efficient and sustainable cities. The overall goal of the book is to develop a comprehensive framework to help public and private stakeholders make informed decisions on smart city investment strategies and develop skills for assessment and prioritization, including resolution of difficulties with deployment and reproducibility.
(source: Nielsen Book Data)

• Calibration of Industrial Fanuc 430iF Series Robot Arm.- Development of Batch Type Convection Dryer for Fish Cracker Manufacturing.- Effect of Stress on Ferroelectric, Energy Storage and Harvesting Properties of 0.4BZT-0.6BCT Ceramics.- Recognition of Facial Expressions Based on Detection of Facial Components and HOG Characteristics.- Review on the Structural Components of Floating Photovoltaic Covering Systems.- Design and Analysis of Progressive Tool for a Glass Brackets.- Design of a Robot for the Welfare of the Poultry.- Temperature Control Methodology for Catalytic Convertor to Reduce Emissions and Catalyst Aging.- Design and Simulation of Hybrid Microsystem and its Effect on the Environment Using Homer Software.- Inverse Kinematic analysis of Puma 560 for Vision Systems.- Vibration Measurement using a Low Cost MEMS Accelerometer Kit for the Education.- Detection of Fake and Clone accounts in Twitter using Classification and Distance Measure Algorithms.- Smart Personal Task Scheduler.- Design and Analysis of Mutli-Tool Light Agricultural Vehicle.- Comparative Study of Plain and Twisted Ducts in Heat Transfer.- Design of Electrical Screwdriver using Arduino and Planetary Gear System.
• (source: Nielsen Book Data)

This book includes best selected, high-quality research papers presented at the International Conference on Intelligent Manufacturing and Energy Sustainability (ICIMES 2021) held at the Department of Mechanical Engineering, Malla Reddy College of Engineering & Technology (MRCET), Maisammaguda, Hyderabad, India, during June 18-19, 2021. It covers topics in the areas of automation, manufacturing technology and energy sustainability and also includes original works in the intelligent systems, manufacturing, mechanical, electrical, aeronautical, materials, automobile, bioenergy and energy sustainability.
(source: Nielsen Book Data)

• Metallographic Analysis of the Percentage of Carbon in the Test Tube Based on Artificial Vision.- Machinability Study of "Nickel Material" in Deep Micro-holes Fabrication Through ECM.- Three-Dimensional FEM Analysis of Nanoparticle Assisted Radio Frequency Ablation of Tissue Mimicking Phantom.- Investigations on Electrochemical Discharge Machining of Al2O3 Ceramics.- Design and Numerical Simulation of PCM Based Energy Storage Device for Helmet Cooling.- Numerical Simulation and Analysis of Tank Filling Time and Flow Sequence.- GA Based Tuning of Integral Controller for Frequency Regulation of Hybrid Two Area Power System with Nonlinearities and Electric Vehicles.- Design and Analysis of Vehicle Tyres with Phase Change Material for Anti-Freezing.- Experimentation and Mathematical Modelling: Indirect Forced Convection Solar Drying of Tomato with Novel Drying Chamber Arrangement using Phase Change Material as Thermal Energy Storage.- The Effect of Indoor and Outdoor Conditions on Performance of Solar Hybrid VCR System -An Experimental Study.
• (source: Nielsen Book Data)

• Metallographic Analysis of the Percentage of Carbon in the Test Tube Based on Artificial Vision
• Machinability Study of "Nickel Material" in Deep Micro-holes Fabrication Through μECM
• Three-Dimensional FEM Analysis of Nanoparticle Assisted Radio Frequency Ablation of Tissue Mimicking Phantom
• Investigations on Electrochemical Discharge Machining of Al2O3 Ceramics
• Design and Numerical Simulation of PCM Based Energy Storage Device for Helmet Cooling
• Numerical Simulation and Analysis of Tank Filling Time and Flow Sequence
• GA Based Tuning of Integral Controller for Frequency Regulation of Hybrid Two Area Power System with Nonlinearities and Electric Vehicles
• Design and Analysis of Vehicle Tyres with Phase Change Material for Anti-Freezing
• Experimentation and Mathematical Modelling: Indirect Forced Convection Solar Drying of Tomato with Novel Drying Chamber Arrangement using Phase Change Material as Thermal Energy Storage
• The Effect of Indoor and Outdoor Conditions on Performance of Solar Hybrid VCR System -An Experimental Study.

This book includes best selected, high-quality research papers presented at the International Conference on Intelligent Manufacturing and Energy Sustainability (ICIMES 2020) held at the Department of Mechanical Engineering, Malla Reddy College of Engineering & Technology (MRCET), Maisammaguda, Hyderabad, India, during August 21-22, 2020. It covers topics in the areas of automation, manufacturing technology and energy sustainability and also includes original works in the intelligent systems, manufacturing, mechanical, electrical, aeronautical, materials, automobile, bioenergy and energy sustainability.
(source: Nielsen Book Data)

• 1. Centralized and distributed computing.-
• 2. Big Data technologies and Data science.-
• 3. Grid and Cloud Computing.-
• 4. Internet of Things and Machine Learning .
• (source: Nielsen Book Data)

This book comprises select papers from the international conference on Research in Intelligent and Computing in Engineering (RICE 2019) held at Hanoi University of Industry, Hanoi, Vietnam. The volume focuses on current research on various computing models such as centralized, distributed, cluster, grid and cloud. The contents cover recent advances in wireless sensor networks, mobile ad hoc networks, internet of things, machine learning, grid and cloud computing, and their various applications. The book will help researchers as well as professionals to gain insight into the rapidly evolving fields of internet computing and data mining. .
(source: Nielsen Book Data)

• Active Closed-Loop Gap Control for Aerostatic Bearing.- Firefly Algorithm for Power Economic Emission Dispatch.- Application of the Taguchi Method to the War page for Light Guide Plate.- Diagnosis of Muscle Properties in Low-Back-Pain with Electrical Bio impedance Methodology.- Low Cost Wearable Control Valves with No Mechanical Sliding Parts in Valves.- Estimation of Residual Traveling Distance for Power Wheelchair Using Neural Network.- Residual Whitening Method for Identification of Induction Motor System.- Analysis and Simulation of Small-sized Quasi-servo Valve Using Tiny On/off Control Valve.- Analysis of Flexible Thin Actuator Using Gas-Liquid Phase-Change of Low Boiling Point Liquid.- Development of Flexible Pneumatic Cylinder with String Type Displacement Sensor for Flexible Spherical Actuator.- Evaluation of Computing Reliability in Internet Computing.- An Effective Method for Classification of White Rice Grains Using Various Image Processing Techniques.- Applying ZigBee Wireless Sensors and Photovoltaic System to Plant Factory.- Applying Particle Filter Technology to Object Tracking.- Measurement of Thickness and Refractive Index of Optical Samples in FD-OCT with Two Orthogonal Polarized Lights.- Fabrication of Peristaltic Micropump with UV Curable Adhesive.- Detecting Object Edges by Xtion Pro and Open Sources.- Temperature Control of a Baking System for an Ultra-high-vacuum Insertion Device.- Microarray Data Analysis with Support Vector Machine.- Feature Selection Algorithm for Motor Quality Types using Weighted Principal Component Analysis.- Feasibility Test of Range of Motion Exercise for Ankle Joints Rehabilitation using Pneumatic Soft Actuators.- 3D Motion Editing Through B-Spline Fitting with Constraints.- An ARAR-Tree-Based Diagnosis Mechanism for Rule Anomalies among Internet Firewalls.- Development of Active Orthosis for Lumbago Relief.- Controller Design by Time-domain Objective Functions Using Cuckoo Search.- Behavior Network-based Risk Recognition Method.- Reinforcement Learning with Multiple Actions.- Wind Turbine Blade Load Alleviation Performance Employing Individual Pitch Control.- Planet Editing Method using Leap Motions.- Development of Flexible Haptic Robot Arm Using Flexible Pneumatic Cylinders with Backdrivability for Bilateral Control.- Integration Method of Proxy and Producer-Consumer Patterns.- Bayesian Probability and User Experience-based Smart UI Design Method.- Bayesian Probability-based Hand Property Control Method.- Implementation of a Delta-Sigma Analog-to-Digital Converter.- An Experimental Investigation of Effect on Engine Performance by Controlling the Temperature of the Fuel.- Modeling of an AIGaAs-based VCSEL with Bragg Mirrors.- Risk Decision Method based on Sensory Values of Smart Devices.- A Flywheel Energy Storage System Suspended by Active Magnetic Bearings Using a Fuzzy Control with Radial Basis Function Neural Network.- A Matrix Robot for Block-Stacking.- A Study of Regular Transmission Delay in Bluetooth Communications.- IEEE 802.16J-Based Multihop Relays for Future Performance Enhancement of Aeronautical Mobile Airport Communications Systems (AeroMACS).- Explore the Influential Factors on Maritime Accidents by Regression Approach.- Analytical Model of Pipe Inspection Robot Using Flexible Pneumatic Cylinder.- Thermal Resistance Characterization of SIGe Based HBTs on Thick-Film and Thin-Film SOI.- Improved Item Relational Structure Theory Based on Liu's Item Ordering Consistence Property.- Enhancement of Digitized Old Film Using Inpainting Based Method.- Study of Nickel Catalysts Deposited by using the Electroless Plating Method and Growth the Multiwall Carbon Nanotubes.- Photovoltaic Power Generation System Modeling Using and Artificial Neural Network.- Thermal Stress Analysis of Layer-Wise Functionally Graded Material Beam Considering Neutral Plane.- A Smart Home Automation System.- Material Structure Selection of Solution Blue OLEDs Using a Design of Experiment.- Development of Software Inspection Tools for Defect Examination in Machine Vision Applications.- A Design of a Light Guide for Highly Uniform Illumination.- A Study on the Performance Characteristics of a Synchronous Elastic FIR Filter.- A Design of Cavity Filters based on Photonic Crystal Slab Waveguide with Liquid Crystal.- A Self-Focus High Precision Scheme Applied to HCPV Solar Center Tracker.- Controlling Flock through Normalized Radial Basis Function Interpolation.- Novel AF Relay Design for Optimizing a MIMO Relay Network under Backward Non-Flat Fading Channels.- Development of Wearable Power Assist Wear Using Pneumatic Actuators.- Cost Model of Physical Activity Monitoring Systems.- The BCI Control Applied to the Interactive Autonomous Robot with the Function of Meal Assistance.- Design of a Transparent Pipeline-Based Multiplier.- An IP-Based Design to Achieve Power Reduction.- Crystalline Indium-doped Zinc Oxide Thin Films Prepared by RF Magnetron Reactive Sputtering.- The Construction and Efficiency Validation of an Educational Module of Pneumatics Robotics Arm Controlled by Programmable Logic Controller (PLC).- GPU Computations on Hadoop Clusters for Massive Data Processing.- A HHT Based Music Synthesizer.- Decentralized Robust Estimation of Interconnected Systems with State-Dependent Impulse Disturbances.- A Lean Analysis to Automate the Draw Operations at a Tube Manufacturing Company.- Classification of the ECG Signal using Artificial Neural Network.- Integration Method of Composite Pattern for Solving Structure Problems of Visitor Pattern.- A Circuit Design of Dimming T8 LED Tube for High Power Factor Correction.- Anti-ESD Improvement b the Bulk-Fox Structure in HV nLDMOS Devices.- N+ Extended-Distribution Influences on Anti-ESD Ability in the 60-V pLDMOS-SCR (NPN arranged-type).- WristEye: An Elderly Computer Learning Assistant with Wrist-Wearable Devices.- A Study of Ultrafast Laser-Based X-Ray Sources for In-Line Phase-Contrast Biomedical Imaging.- PC-USB-Based Real-Time Control Systems Using Quadratic Optimal Control Method.- A Bibliometric Analysis on Data Minding Using Bradford's Law.
• (source: Nielsen Book Data)

This book includes the original, peer reviewed research from the 3rd International Conference on Intelligent Technologies and Engineering Systems (ICITES2014), held in December, 2014 at Cheng Shiu University in Kaohsiung, Taiwan. Topics covered include: Automation and robotics, fiber optics and laser technologies, network and communication systems, micro and nano technologies and solar and power systems. This book also * Explores emerging technologies and their application in a broad range of engineering disciplines* Examines fiber optics and laser technologies* Covers biomedical, electrical, industrial and mechanical systems* Discusses multimedia systems and applications, computer vision and image & video signal processing.
(source: Nielsen Book Data)

• Part I Fault Detection and Isolation
• Part II Estimation and Identification
• Part III Robust and Fault Tolerant Control
• Part IV Industrial and Medical Diagnostics
• Part V Artificial Intelligence.

This book is devoted to the demands of research and industrial centers for diagnostics, monitoring and decision making systems that result from the increasing complexity of automation and systems, the need to ensure the highest level of reliability and safety, and continuing research and the development of innovative approaches to fault diagnosis. The contributions combine domains of engineering knowledge for diagnosis, including detection, isolation, localization, identification, reconfiguration and fault-tolerant control. The book is divided into six parts: (I) Fault Detection and Isolation; (II) Estimation and Identification; (III) Robust and Fault Tolerant Control; (IV) Industrial and Medical Diagnostics; (V) Artificial Intelligence; (VI) Expert and Computer Systems.

• Fuzzy Logic Simulation for Classifying Abrasive Wheels in Pendulum Grinding.- Detection of DoS, DDoS Attacksin Software-Defined Networking.- Functional Encryption of Floating Point ALU using Weighted Logic Locking for Enhanced Security.- Nonnegative Feature Learning by Regularized Nonnegative Matrix Factorization.- Greenhouse Tracking System based on the Internet of Things.- Distance Based Diagnosis of Intermittent Faulty Nodes in Wireless Sensor Networks.- Classification of Gait Patterns using Overlapping Time Displacement of Batchwise Video Subclips.- Study on model reduction algorithm based on Schur analysis.- Street Lamp Monitoring using IoT based on Node-Red.- Hand recognition system based on invariant moments features.- Fuzzy-Based Multi-agent Framework for E-Commerce Recommender System.- Monitoring Food Quality in Supply Chain Logistics.- A Survey on Hybrid Intrusion Detection Techniques.
• (source: Nielsen Book Data)

This book comprises select peer-reviewed proceedings of the international conference on Research in Intelligent and Computing in Engineering (RICE 2020) held at Thu Dau Mot University, Vietnam. The volume primarily focuses on latest research and advances in various computing models such as centralized, distributed, cluster, grid, and cloud computing. Practical examples and real-life applications of wireless sensor networks, mobile ad hoc networks, and internet of things, data mining and machine learning are also covered in the book. The contents aim to enable researchers and professionals to tackle the rapidly growing needs of network applications and the various complexities associated with them.
(source: Nielsen Book Data)

• Data science
• Knowledge base systems
• Natural language processing and sentiment analysis
• Semantic Web and social networks
• Computer vision.-Medical diagnosis system and bio-informatics
• Applied neural networks.-Innovations in intelligent systems and applications
• Decision support systems
• Adaptive control
• Soft computing and multi-agent systems.-Evolutionary algorithms and heuristic search
• System integration for real-life applications.

This book constitutes the refereed conference proceedings of the 29th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, held in Morioka, Japan, in August 2-4, 2016. The 80 revised full papers presented were carefully reviewed and selected from 168 submissions. They are organized in topical sections: data science; knowledge base systems; natural language processing and sentiment analysis; semantic Web and social networks; computer vision; medical diagnosis system and bio-informatics; applied neural networks; innovations in intelligent systems and applications; decision support systems; adaptive control; soft computing and multi-agent systems; evolutionary algorithms and heuristic search; system integration for real-life applications.

• Advanced Data Processing and Visualization Techniques.- Bio-inspired Models and Optimization.- Learning Algorithms.- Data Mining, Knowledge Discovery and Big Data.- Hybrid Artificial Intelligence Applications.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 15th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2020, held in Gijon, Spain, in November 2020. The 65 regular papers presented in this book were carefully reviewed and selected from 106 submissions. The papers are grouped into these topics: advanced data processing and visualization techniques; bio-inspired models and optimization; learning algorithms; data mining, knowledge discovery and big data; and hybrid artificial intelligence applications.
(source: Nielsen Book Data)

• Data Mining and Knowledge Discovery
• Time series
• Bio-inspired Models and Evolutionary Computation
• Learning Algorithms
• Video and Image
• Classification and Cluster Analysis
• Applications
• Bioinformatics
• Hybrid Intelligent Systems for Data Mining and Applications.

This volume constitutes the refereed proceedings of the 11th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2016, held in Seville, Spain, in April 2016. The 63 full papers published in this volume were carefully reviewed and selected from 150 submissions. They are organized in topical sections on data mining and knowledge discovery; time series; bio-inspired models and evolutionary computation; learning algorithms; video and image; classification and cluster analysis; applications; bioinformatics; and hybrid intelligent systems for data mining and applications.