Soft Computing: Theories and Applications : Proceedings of SoCTA 2023, Volume 1 / edited by Rajesh Kumar, Ajit Kumar Verma, Om Prakash Verma, Tanu Wadehra.

Format:

Book

Author/Creator:

Kumar, Rajesh.

Contributor:

Verma, A. K. (Ajit Kumar)

Varmā, Oma Prakāśa.

Wadehra, Tanu.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 970

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Automatic control.

Robotics.

Automation.

Signal processing.

Computational Intelligence.

Artificial Intelligence.

Control, Robotics, Automation.

Signal, Speech and Image Processing.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Control, Robotics, Automation.

Signal, Speech and Image Processing.

Physical Description:

1 online resource (427 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

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.

ISBN:

9789819720316