Computational Intelligence for Engineering and Management Applications: Select Proceedings of CIEMA 2022

ISBN-13: 9789811984921 / Angielski / Twarda / 2023

Prasenjit Chatterjee; Dragan Pamucar; Morteza Yazdani

Opis

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.

Spis treści

An Integrated Approach for Robot Selection under Utopia Environment

A Novel Soft Computing Technique for Hydroxyapatite Coatings Selection for Orthopedic Prosthesis

Remote Production Monitoring System

Application of Wavelet Neural Network for Electric Field Estimation

Development of an industrial control virtual reality module for the application of electrical switchgear in practical applications

Coordination of Wind Turbines and Battery Energy Storage Systems in Micro Grid

Weather-aware selection of wireless technologies for neighborhood area network of Indian smart grid

Intelligent System for Diagnosis of Pulmonary Tuberculosis Using Ensemble Method

Alcoholic addiction detection based on EEG signals using Deep convolutional neural network

Application of machine learning algorithms for cataract detection

Strokes related Disease Prediction using Machine Learning Classifiers and DBN Model

Analysis and Detection of Fraudulence using Machine Learning practices in Health care using Digital Twin.

Prediction and Analysis of Polycystic Ovary Syndrome using Machine Learning

Feature Selection for Medical Diagnosis using Machine Learning: A Review

Convolutional Neural Network architectures comparison for X-Ray Image Classification for Disease Identification

Secure Shift Invariant ED Mask based Encrypted Medical Image Watermarking

Fusion Based Feature Extraction Technique using Representation Learning for Content Based Image

Hand Gesture Recognition Using Deep Learning and Artificial Neural Networks: A Review

Design a computer aided diagnosis system to find out tumour portion in mammogram image with classification technique

PERFORMANCE ANALYSIS OF PANORAMIC DENTAL X-RAY IMAGES USING DISCRETE WAVELET TRANSFORM AND UNBIASED RISK ESTIMATON

Efficient Image Retrieval Technique with Local Edge Binary Pattern using Combined Color and Texture Features

Texture and Deep Feature Extraction in Brain Tumor Segmentation using Hybrid Ensemble Classifier

A Systematic Review on Sentiment Analysis for the Depression Detection during Covid-19 Pandemic

Vehicular Adhoc Networks: A Review

The Data Vortex Switch Architectures- A Review

Survey on Genomic Prediction in Biomedical using Artificial Intelligence

A Brief review on Right to Recall voting system based on Performance Using machine learning and Blockchain Technology

Sentiment Analysis Techniques: A Review

Network Traffic Classification Techniques: A Review

Hand Gesture Identification Using Deep Learning and Artificial Neural Networks: A Review

IoT Assisted solutions for Monitoring Cancer Patients

Application of User and Entity Behavioral Analytics (UEBA) in the Detection of Cyber Threats and Vulnerabilities Management

Review of  Software Defined Network  Enabled Security

A Concise Review on Internet of Things – Architecture and its Enabling Technologies

A Solar-Powered IoT System to Monitor and Control Greenhouses-SPISMCG

An IoT based Smart Band to Fight Against COVID 19 Pandemic

Anomaly Detection in Blockchain using Machine Learning

QoS-aware Resource Allocation with Enhanced Uplink Transfer for U-LTE-Wi-Fi/IoT using Cognitive Network

A Secure Key Management on ODMRP in Mesh-based Multicast Network

Detecting cyber-attacks on Internet of Things devices: An effective preprocessing method

A Survey on Web 3.0 Security Issues and Financial Supply Chain Risk based on Neural Networks and Blockchain

Productive Inference of Convolutional Neural Networks using Filter Pruning Framework

Gate-Enhanced Multi-Domain Dialog State Tracking for Task-Oriented Dialogue Systems

Anomaly-Based Intrusion Detection Systems in Computer Networks: Feedforward Convolutional Neural Networks s and Nearest Neighbor Models as Binary Classifiers

Flexible Reverse Engineering of Desktop and Web Applications

Sentence Pair Augmentation Approach for Grammatical Error Correction

Hardware in the loop of a level plant embedded in Raspberry

Multi-label Classification Using RetinaNet Model

Unsupervised Process Anomaly Detection under Industry Constraints in Cyber-Physical Systems using Convolutional Autoencoder

3D Virtual System of an Apple Sorting Process Using Hardware in the Loop Technique

Application of Augmented Reality for Monitoring Industrial Instrument Parameters

Analysis of Spectrum Sensing Techniques in Cognitive Radio

Monitoring 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 algorithm

Rating of movie via movie recommendation system based on apache spark

Application of ISM in evaluating inter-relationships among software vulnerabilities

Road Traffic Accident Prediction using Ensemble Learning

Factor analysis approach to study mobile applications characteristics and consumers attitude

Human Behavior and Emotion Detection Mechanism using Artificial Intelligence Technology

An Enhanced Career Prospect Prediction System for Non-Computer Stream Students in Software Companies

Sentiment Analysis and Its Applications in Recommender Systems

Two Stage Model for Copy Move Forgery Detection

Mathematical Model for Brocoli Growth Prediction Based on Artificial Networks

Overview of the method Defining Interrelationships Between Ranked criteria II and its application in multi-criteria decision making

Rooftop photovoltaic panels evaluation for houses in Prospective MADM outline

A Proposed q-Rung Orthopair Fuzzy based Decision Support System for Comparing Marketing Automation Modules for Higher Education Admission

Normalization of target-nominal criteria for multi-criteria decision-making problems

Assessment of Factors Influencing Employee Retention Using AHP Technique

O autorze

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.