Soft Computing: Theories and Applications : Proceedings of SoCTA 2023, Volume 1 (Lecture Notes in Networks and Systems)

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Soft Computing: Theories and Applications : Proceedings of SoCTA 2023, Volume 1 (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 376 p.
  • 言語 ENG
  • 商品コード 9789819720309

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

A Mathematical Approach to Prevent and Control COVID-19 Outbreaks: The Improved M-E Model.- Implementation of Agricultural produce segregation using image processing Algorithm.- Detection of Duplicate Question Pairs by Applying Proposed BoW, TF-IDF & USE Approach.- The Hand Glove Enabling Voice and Text Communication.- Advancing Rheumatoid Arthritis Care: Exploring Technological .- Breakthroughs and Future Directions.- Twitter Trolling Detection Using Machine Learning.- HMHDTML: Human Mental Health Detection using Text and Machine Learning Model.- Analysing the growth profile of Brain tumor with Caputo fractional operator via Sumudu transform.- Multi Labelled Topic Classification of Research Articles Using Machine Learning.- Security in Mobile Ad hoc Networks: Impact of Attacks and Counter-Measure Approaches.- Optimization of vibrational frequencies for orthotropic parallelogram plates with circular variations in tapering at simply supported boundary.- Drowsiness Detection Using Adaboost Method and Haar Cascade Classifier to Improve Safety of Drivers.- Early detection of colorectal cancer from polyps images using deep learning.- Motion control of underactuated cart-double-pendulum system via fractional order sliding mode controller.- A Comparative Study of Pedestrian Detection Techniques over the Last Decade.- Approximation properties of Modified-Bernstein operators having Sz'asz weight functions.- Fourier-Laguerre expansion of signals by composite summable technique.- A Multiple Linear Regression Model to Estimate Global, Direct and Diffuse Irradiance in Gurugram, India using Python.- Supervised Machine Learning Approaches for Customer Reviews Sentiment Analysis.- Stock Price Prediction on Indian Share Market Using Machine Learning.- Transparent Price Forecasting For Basic Food commodities in a Developing Economy.- Parallel Deep Convolution Neural Network (P-DCNN) Prediction of Paddy Crop Disease.- Convolutional-LSTM Network for Emotion Recognition using EEG data in Valence-Arousal dimension.- Analysis of Multiply Accumulate (MAC) Unit Using Convolution Neural Networks (CNN).- Implementing reinforcement learning for tackling smart grid pricing problem.- Teaching Learning Based Optimization Algorithm Approach for Water Management of Canal Command Area of Upper Ganga Canal.- Deep Learning Based Algorithmic Trading Based on News and Events Strategies.- Pothole Detection and Prediction using Deep Learning with Convnet and YOLOv8.- Window Function Dependency on Male and Female Speech Signals for Pitch Extraction at Low SNRs.- Improvised Optical Flow Techniques to Track Vehicle Movements in a Drone Video - Hybrid Approach combining Lucas-Kanade and Horn-Schunck Methods.- Generation of Negative and Positive Association Rules using Modified Algorithm.- A Cutting Edge Algorithm for Interval-Valued Intuitionistic Fuzzy Decision Making Based on Mean, Variance of Alternative Score Matrices and A New Score Function.- Apple Scab Detection using Transfer Learning and Deep Convolutional Network.- Cloud Eye: A Tool to Secure Text, Images and Audios using Steganography.- A Green Inventory Model for New and Revamped Decaying Products with Partially Backlogged and Stock Dependent Demand.- A Machine Learning based approach to Assess and Predict Drought Events: A case of Rajasthan, India.

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