Computational Intelligence in Communications and Business Analytics : 5th International Conference, CICBA 2023, Kalyani, India, January 27–28, 2023, Revised Selected Papers, Part I / edited by Kousik Dasgupta, Somnath Mukhopadhyay, Jyotsna K. Mandal, Paramartha Dutta.

Format:

Book

Contributor:

Dasgupta, Kousik, editor.

Series:

Communications in Computer and Information Science, 1865-0937 ; 1955

Language:

English

Subjects (All):

Data structures (Computer science).

Information theory.

Computer engineering.

Computer networks.

Artificial intelligence.

Social sciences--Data processing.

Social sciences.

Data Structures and Information Theory.

Computer Engineering and Networks.

Computer Communication Networks.

Artificial Intelligence.

Computer Application in Social and Behavioral Sciences.

Local Subjects:

Data Structures and Information Theory.

Computer Engineering and Networks.

Computer Communication Networks.

Artificial Intelligence.

Computer Application in Social and Behavioral Sciences.

Physical Description:

1 online resource (369 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

This two-volume set constitutes the refereed proceedings of the 5th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2023, held in Kalyani, India, during January 27–28, 2023. The 52 full papers presented in this volume were carefully reviewed and selected from 187 submissions. The papers present recent research on intersection of computational intelligence, communications, and business analytics, fostering international collaboration and the dissemination of cutting-edge research.

Contents:

Track: Computational Intelligence

A Review on Machine Learning and Deep Learning Based Approaches in Detection and Grading of Alzheimer’s Disease

Assessment of Slope Instability in a Hilly Terrain: A Logistic regression and Random Forest Based Approach

A Comparative Study on the Evaluation of k-mer Indexing in Genome Sequence Compression

Classification of Text and Non-text Components present in offline Unconstrained handwritten documents using Convolutional Neural Network

Motion Detection using Three Frame Differencing and CNN

Advance detection of Diabetic Retinopathy: Deep Learning Approach

Load Flow Solution For Radial Distribution Networks Using Chaotic Opposition based WhaleOptimization Algorithm

Dimension Reduction in Hyperspectral Image Using Single Layer Perceptron Neural Network

Economic load dispatch problem using African vulture optimization algorithm (AVOA) in thermal power plant with wind energy

Grey Wolf Optimization Based Maximum Power Point Tracking Algorithm for Partially Shaded Photovoltaic Modules in Wireless Battery Charging Application

Regression Analysis For Finding Correlation On Indian Agricultural Data

Classification of the Chest X-ray Images of COVID-19 Patients through the Mean Structural Similarity Index

A Religious Sentiment Detector based on Machine Learning to provide meaningful analysis of Religious Texts

Automated Detection of melanoma skin disease using classification algorithm

Identification of Cloud types for Meteorological Satellite images: A character-based CNN-LSTM hybrid caption model

Prediction and Deeper Analysis of Market Fear in Pre-COVID-19, COVID-19 and Russia-Ukraine Conflict: A Comparative Study of Facebook Prophet, Uber Orbit and Explainable AI

ANN for diabetic prediction by using chaotic based sine cosine algorithm

A Deep CNN Framework for Oral Cancer Detection using Histopathology Dataset

AntiNuclear Antibody Pattern Classification using CNN with Small Dataset

Classification of Offensive Tweet in MarathiLanguage using Machine Learning Models

An integrative method for COVID-19 patients’ classification from chest X-ray using deep learning network with feature extraction from image visibility graph

Identification And Multi-Classification of Several Potato Plant Leave Diseases Using Deep Learning

A GUI-based approach to predict heart disease using machine learning algorithms and flask API

Classification of cricket shots from cricket videos using Self-Attention Infused CNN-RNN (SAICNNRNN)

Attention-Residual Convolutional Neural Network for Image Restoration Due to Bad Weather

Deep Learning-Based Intelligent GUI Tool For Skin Disease Diagnosis System.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Dasgupta, Kousik Computational Intelligence in Communications and Business Analytics

ISBN:

3-031-48876-8

OCLC:

1412621575