Chatterjee / Pamucar / Yazdani Computational Intelligence for Engineering and Management Applications

Select Proceedings of CIEMA 2022
1. Auflage 2023
ISBN: 978-981-19-8493-8
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 984, 941 Seiten, eBook

Reihe: Lecture Notes in Electrical Engineering

This book comprises select proceedings of the 1st International Conference on Computational Intelligence for Engineering and Management Applications (CIEMA - 2022). This book emphasizes applications of computational intelligence including machine intelligence, data analytics, and optimization algorithms for solving fundamental and advanced engineering and management problems. This book serves as a valuable resource for researchers, industry professionals, academicians, and doctoral scholars in engineering, production, thermal, materials, design, computer engineering, natural sciences, and management who work on computational intelligence. The book also serves researchers who are willing to use computational intelligence algorithms in real-time applications.

Zielgruppe

Research

Autoren/Hrsg.

Chatterjee, Prasenjit

Pamucar, Dragan

Yazdani, Morteza

Panchal, Dilbagh

Inhaltsverzeichnis

An Integrated Approach for Robot Selection under Utopia EnvironmentA Novel Soft Computing Technique for Hydroxyapatite Coatings Selection for Orthopedic ProsthesisRemote Production Monitoring SystemApplication of Wavelet Neural Network for Electric Field EstimationDevelopment of an industrial control virtual reality module for the application of electrical switchgear in practical applicationsCoordination of Wind Turbines and Battery Energy Storage Systems in Micro GridWeather-aware selection of wireless technologies for neighborhood area network of Indian smart gridIntelligent System for Diagnosis of Pulmonary Tuberculosis Using Ensemble MethodAlcoholic addiction detection based on EEG signals using Deep convolutional neural networkApplication of machine learning algorithms for cataract detectionStrokes related Disease Prediction using Machine Learning Classifiers and DBN ModelAnalysis and Detection of Fraudulence using Machine Learning practices in Health care using Digital Twin.Prediction and Analysis of Polycystic Ovary Syndrome using Machine LearningFeature Selection for Medical Diagnosis using Machine Learning: A ReviewConvolutional Neural Network architectures comparison for X-Ray Image Classification for Disease IdentificationSecure Shift Invariant ED Mask based Encrypted Medical Image WatermarkingFusion Based Feature Extraction Technique using Representation Learning for Content Based ImageHand Gesture Recognition Using Deep Learning and Artificial Neural Networks: A ReviewDesign a computer aided diagnosis system to find out tumour portion in mammogram image with classification techniquePERFORMANCE ANALYSIS OF PANORAMIC DENTAL X-RAY IMAGES USING DISCRETE WAVELET TRANSFORM AND UNBIASED RISK ESTIMATONEfficient Image Retrieval Technique with Local Edge Binary Pattern using Combined Color and Texture FeaturesTexture and Deep Feature Extraction in Brain Tumor Segmentation using Hybrid Ensemble ClassifierA Systematic Review on Sentiment Analysis for the Depression Detection during Covid-19 PandemicVehicular Adhoc Networks: A ReviewThe Data Vortex Switch Architectures- A ReviewSurvey on Genomic Prediction in Biomedical using Artificial IntelligenceA Brief review on Right to Recall voting system based on Performance Using machine learning and Blockchain TechnologySentiment Analysis Techniques: A ReviewNetwork Traffic Classification Techniques: A ReviewHand Gesture Identification Using Deep Learning and Artificial Neural Networks: A ReviewIoT Assisted solutions for Monitoring Cancer PatientsApplication of User and Entity Behavioral Analytics (UEBA) in the Detection of Cyber Threats and Vulnerabilities ManagementReview of Software Defined Network Enabled SecurityA Concise Review on Internet of Things – Architecture and its Enabling TechnologiesA Solar-Powered IoT System to Monitor and Control Greenhouses-SPISMCGAn IoT based Smart Band to Fight Against COVID 19 PandemicAnomaly Detection in Blockchain using Machine LearningQoS-aware Resource Allocation with Enhanced Uplink Transfer for U-LTE-Wi-Fi/IoT using Cognitive NetworkA Secure Key Management on ODMRP in Mesh-based Multicast NetworkDetecting cyber-attacks on Internet of Things devices: An effective preprocessing methodA Survey on Web 3.0 Security Issues and Financial Supply Chain Risk based on Neural Networks and BlockchainProductive Inference of Convolutional Neural Networks using Filter Pruning FrameworkGate-Enhanced Multi-Domain Dialog State Tracking for Task-Oriented Dialogue SystemsAnomaly-Based Intrusion Detection Systems in Computer Networks: Feedforward Convolutional Neural Networks s and Nearest Neighbor Models as Binary ClassifiersFlexible Reverse Engineering of Desktop and Web ApplicationsSentence Pair Augmentation Approach for Grammatical Error CorrectionHardware in the loop of a level plant embedded in RaspberryMulti-label Classification Using RetinaNet ModelUnsupervised Process Anomaly Detection under Industry Constraints in Cyber-Physical Systems using Convolutional Autoencoder3D Virtual System of an Apple Sorting Process Using Hardware in the Loop TechniqueApplication of Augmented Reality for Monitoring Industrial Instrument ParametersAnalysis of Spectrum Sensing Techniques in Cognitive RadioMonitoring of Physiological and Atmospheric Parameters of People Working in Mining Sites using a Smart Shirt: A Review of Latest Technologies and Limitations.Phishing site prediction using machine learning algorithmRating of movie via movie recommendation system based on apache sparkApplication of ISM in evaluating inter-relationships among software vulnerabilitiesRoad Traffic Accident Prediction using Ensemble LearningFactor analysis approach to study mobile applications characteristics and consumers attitudeHuman Behavior and Emotion Detection Mechanism using Artificial Intelligence TechnologyAn Enhanced Career Prospect Prediction System for Non-Computer Stream Students in Software CompaniesSentiment Analysis and Its Applications in Recommender SystemsTwo Stage Model for Copy Move Forgery DetectionMathematical Model for Brocoli Growth Prediction Based on Artificial NetworksOverview of the method Defining Interrelationships Between Ranked criteria II and its application in multi-criteria decision makingRooftop photovoltaic panels evaluation for houses in Prospective MADM outlineA Proposed q-Rung Orthopair Fuzzy based Decision Support System for Comparing Marketing Automation Modules for Higher Education AdmissionNormalization of target-nominal criteria for multi-criteria decision-making problemsAssessment of Factors Influencing Employee Retention Using AHP Technique

Über Autor(innen)

Dr. Prasenjit Chatterjee is currently a Professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKV Institute of Engineering, West Bengal, India. He has over 5400 citations with an h-index of 38 and 120 research papers in various international journals and peer reviewed conferences. He has authored and edited more than 30 books on intelligent decision-making, fuzzy computing, supply chain management, optimization techniques, risk management and sustainability modelling. He is the Editor-in-Chief of Journal of Decision Analytics and Intelligent Computing. He has also been the Guest Editor of several special issues in different SCIE / Scopus / ESCI (Clarivate Analytics) indexed journals. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods called Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI).
Dragan Pamucar is an Associate Professor at the University of Belgrade, Faculty of Organizational Sciences, Department of Operations Research and Statistics, Serbia. He received a Ph.D. in Applied Mathematics with a specialization in multi-criteria modeling and soft computing techniques, from the University of Defence in Belgrade, Serbia, in 2013 and a M.Sc. degree from the Faculty of Transport and Traffic Engineering in Belgrade in 2009. His research interest areas are computational intelligence, multi-criteria decision-making problems, neuro-fuzzy systems, fuzzy, rough, and intuitionistic fuzzy set theory, neutrosophic theory. He has authored/co-authored over 70 papers published in SCI-indexed international journals including experts’ systems with applications, computational intelligence, computers, and industrial engineering technical gazette, sustainability, symmetry, water, etc. Morteza Yazdani currently works at the Universidad Internacional de Valencia, Madrid. Before, he worked as an Assistant Professor at Universidad Autonoma de Madrid, ESIC University and Universidad Loyola Andalucia, Spain. He has also worked at the University of Toulouse and the European University of Madrid as a post-doctoral researcher. He participated in the editorial board of the International Journal of Production Management and Engineering and is Reviewer of several international journals such as Expert Systems with Applications, Journal of Cleaner Production, Soft Computing and Applied Soft Computing, etc. His main research areas are decision-making modeling and fuzzy decision system for humanitarian supply chain and energy systems. He has published over 50 research papers in high-impact journals and peer-reviewed conferences. Dilbagh Panchal is an Assistant Professor (Grade-I) in the Department of Mechanical Engineering, National Institute of Technology Kurukshetra, Haryana, India. He works in reliability and maintenance engineering, fuzzy decision-making, supply chain management, and operation management. He obtained his Bachelor (Hons.) in Mechanical Engineering from Kurukshetra University, Kurukshetra, India, in 2007 and Master’s in Manufacturing Technology in 2011 from Dr. B.R. Ambedkar National Institute of Technology Jalandhar, India. He has done his Ph.D. from the Indian Institute of Technology Roorkee, India, in 2016. He is presently supervising two Ph.D. scholars; five M. Tech dissertations have been guided by him, and two are in progress. He has published 25 research papers in SCI/Scopus-indexed journals. Five book chapters and one book have been also published by him under a reputed publisher. With this, six international conferences have been also attended by him. He also edited a book on advanced multi-criteria decision-making for addressing complex sustainability issues. He is currently a part of Associate Editors team of the International Journal of System Assurance and Engineering Management. He is currently serving as Active Reviewer of many reputed international journals.