Computational Intelligence in Communications and Business Analytics: 5th International Conference, Cicba 2023, Kalyani, India, January 27-28, 2023, Re » książka
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.