E-raamat: Computational Intelligence in Communications and Business Analytics: 6th International Conference, CICBA 2024, Patna, India, January 23-25, 2024, Revised Selected Papers, Part II

Computational Intelligence II.- Multimodal Skin Cancer Classification
Optimized Convolutional Network with Customized Loss and RNN Based FCNN
Fusion.- Deep Learning Based MLP Model in Detection of Cotton Plant Leaf
Disease.- Enhancing Drug Candidate Generation Comparing Genetic Algorithm And
WGAN GP Approaches.- Predicting Employee Job Satisfaction by Using Vector
Space Model.- Simplernn Based Human Emotion Recognition Using EEFG Signals.-
 Improving Melanoma Classification Using Transfer Learning Based Wavelet
Features.- Research Challenges and Future Perspective in Semantic
Segmentation of Brain Stroke Lesions in Magnetic Resonance Imaging.-
Revolutionizing Suicide Ideation Detection in Social Media An Ensemble
Optimized Bi GRU With Attention Approach.- A Computer Vision Model Utilizing
Autoencoders for Surface Defect Recognition.- A Study on the Impact of
Partitioning on Community Detection in Graph Networks.- Load Combination
Optimization for Trailer Design using Genetic Algorithm.- Features Extraction
from Android Apps Using Reverse Engineering.-  Efficient Near Infrared
Spectroscopy Based Feature Selection of Tannic Acid for Black Tea
Evaluation.- Taming the Monkeypox Outbreak with Deep Learning for Skin Lesion
Detection.- A Comprehensive Review of AI based Low Back Pain Assessment and
Rehabilitation.- Analysis of Multidomain Abstractive Summarization Using
Salience Allocation.- Detection and Localization of Malignant Cells from
Surgical Images for Robot Assisted Invasive Surgery using Deep Learning.- An
Intelligent Integrated Prediction Based Approach for Heart Disease Detection
A Comprehensive Study.- Multi Modal Approach for Ethereum Smart Contract
Vulnerability Detection.- Kcst Net Deep Learning Based Classification of
Kidney Diseases Using CT Images.- High Yield Model Compression Paradigms for
Low Footprint Signal Classification Supplementing Resource Constrained
Embedded Environments.-  Regularizing CNNs using Confusion Penalty Based
Label Smoothing for Histopathology Images.- Leveraging Generative Pre Trained
Models and Discriminative Pre Trained Language Models for Sentiment
Analysis.- Advancing Lung Cancer Diagnosis and Prognosis through Machine
Learning Algorithm.- Influent sewage water classification using machine
learning.- Fine grained Image Classification on Skin Cancer Dataset.-
Learning based soiling loss estimation in solar panels and solar panel
soiling database generation.- CNN ML Framework Based Predominant Musical
Instrument Recognition Using Mel Spectrogram.