Computational Intelligence in Communications and Business Analytics by Dasgupta, Kousik; Mukhopadhyay, Somnath; Mandal, Jyotsna K.; Dutta, Paramartha;

Hosszú leírás:

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.

Tartalomjegyzék:

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.