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.
Inhaltsverzeichnis
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.
