Soft Computing: Theories and Applications : Proceedings of SoCTA 2023, Volume 2 (Lecture Notes in Networks and Systems)

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Soft Computing: Theories and Applications : Proceedings of SoCTA 2023, Volume 2 (Lecture Notes in Networks and Systems)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 428 p.
  • 言語 ENG
  • 商品コード 9789819720880

Full Description

​This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing, and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2023), held at Indian Institute of Information Technology (IIIT) Una, Himachal Pradesh, India, during 21-23 December 2023. The book offers valuable insights into soft computing for teachers and researchers alike; the book inspires further research in this dynamic field.

Contents

An extensive review on designing of blood bank management system.- Ensemble Models for vulnerability prediction using code metrics.- Echo State Networks for Cryptography: A Novel Framework for Key Generation and Secure Communication.- Exploration of Coarse-Graining and Threshold Selection of Lempel-Ziv Complexity on Vibroarthrographic Signals.- Image Super Resolution using Extensive Residual Network (ERN) for Orange fruit disease detection.- A Powerful High-Order B-Spline Galerkin Technique for Numerical Solutions of Advection-Diffusion Equation.- Some Explicit Formulas for Changhee-Genocchi Polynomials and Numbers.- Numerical Simulations of Third-Order Singularly Perturbed Boundary Value Problems.- A Study on λ-Analogue Type Of Degenerate Daehee Polynomials And Numbers.- Water Quality Prediction using Machine Learning.- Single Smart Card for Identity and Authentication Using Data Analytics.- Strategic Utilization of ChatGPT in Teaching and Learning.- Particle Based Swarm Fuzzy Optimization Approach in Vague Measurement of the Distance in Transportation Problems.- Design and Implementation of Network Coverage Area in WSN Using Swarm Optimization Techniques.- Divergence Models in Fuzzy Environment and Their Solicitations for the Development of Fuzzy Information Improvement Models.- ViT-ALZ: Vision Transformer with Deep Neural Network for Alzheimer's Disease Detection.- Edge-ward computational offloading for Smart Waste Management System.- AMPpred-CNN: Prediction of antimicrobial peptide by using 1D convolution neural network and Composition/Transition/Distribution (CTD) encoding.- A hybrid system for detection of Stress using human emotions through voice.- Quasi-opposition based whale optimization applied to Multilevel Image thresholding.- Enhanced Georeferencing by adapting improvised Lens Distortion Correction in Stationary Drone Video Frames.- Feature Selection and Classification to detect Fetal Abnormalities.- Adoption of Blockchain Technologies into Forensic Accounting Practices.- Path Tracking Control of Mobile Manipulator with Skidding and Slipping.- Predicting Stock Market Prices Using a Hybrid of HighOrder Neural Networks and Barnacle Mating Optimization.- Stock Price Prediction Using LSTM & SVM.- Automated Plant disease detection: CNN for corn maize, tomato and potato.- Survey of Deep Learning Models for Image-Based Disease Detection in Plants.- A Comprehensive Review on Technological Advancements in Object Detection Deep Learning Models.- Identification and Classification of PV Array Faults Using Artificial Neural Network.- Ray Based Covid-19 Detection Using Preprocessing Techniques and Deep Learning Algorithms.- Threat or gift to academic: A case study on ChatGPT.- Breaking Barriers: Sign Language to Text Transformation in the Digital Era.- Sarcasm Detection and Classification using Deep Learning Model.- Suspicious Human Activity Detection through Video Analysis and Alert System: A Comprehensive Review.- Hybrid Deep Learning Techniquefor Leaf Disease Detection System.- A Comprehensive Review of Predicting Lifestyle based disease specifically PCOS among Women Using Data Mining and Machine Learning Approaches.- A Modified Honey Badger Algorithm with Logistic Map and Enhanced Exploitation.- Optimal Performance of a quantum Einstein heat engine with ecological function.- Performance Analysis of GIoU Loss Function for Object Tracking.

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