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Computational Intelligence in Communications and Business Analytics: 5th International Conference, CICBA 2023, Kalyani, India, January 2728, 2023, Revised Selected Papers, Part I 1st ed. 2024 [Pehme köide]

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  • Formaat: Paperback / softback, 351 pages, kõrgus x laius: 235x155 mm, kaal: 569 g, 140 Illustrations, color; 37 Illustrations, black and white; XIX, 351 p. 177 illus., 140 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 1955
  • Ilmumisaeg: 30-Nov-2023
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 303148875X
  • ISBN-13: 9783031488757
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  • Formaat: Paperback / softback, 351 pages, kõrgus x laius: 235x155 mm, kaal: 569 g, 140 Illustrations, color; 37 Illustrations, black and white; XIX, 351 p. 177 illus., 140 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 1955
  • Ilmumisaeg: 30-Nov-2023
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 303148875X
  • ISBN-13: 9783031488757
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.

Track: Computational Intelligence.- A Review on Machine Learning and
Deep Learning Based Approaches in Detection and Grading of Alzheimers
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.