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Soft computing: theories and applicationsproceedings of SoCTA 2023.Volume 1 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Soft computing: theories and applicationsedited by Rajesh Kumar ... [et al.].
Reminder of title:	proceedings of SoCTA 2023.
remainder title:	SoCTA 2023
other author:	Kumar, Rajesh.
corporate name:
Published:	Singapore :Springer Nature Singapore :2024.
Description:	xix, 426 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Soft computingCongresses.
Online resource:	https://doi.org/10.1007/978-981-97-2031-6
ISBN:	9789819720316$q(electronic bk.)

Soft computing: theories and applicationsproceedings of SoCTA 2023.Volume 1 /
Soft computing: theories and applicationsproceedings of SoCTA 2023.Volume 1 /[electronic resource] :SoCTA 2023edited by Rajesh Kumar ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xix, 426 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 9702367-3389 ;. - Lecture notes in networks and systems ;v.1..

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.

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.

ISBN: 9789819720316$q(electronic bk.)

Standard No.: 10.1007/978-981-97-2031-6doiSubjects--Topical Terms:

387156
Soft computing
--Congresses.

LC Class. No.: QA76.9.S63 / S65 2023

Dewey Class. No.: 006.3

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