Computational Intelligence in Communications and Business Analytics

Computational Intelligence in Communications and Business Analytics

6th International Conference, CICBA 2024, Patna, India, January 23-25, 2024, Revised Selected Papers, Part II

Mukhopadhyay, Somnath; Singh, Jyoti Prakash; Mandal, Jyotsna K.; Dutta, Paramartha; Singh, Amit Kumar; Singh, Maheshwari Prasad

Springer International Publishing AG

01/2025

266

Mole

9783031813382

Pré-lançamento - envio 15 a 20 dias após a sua edição

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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.
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Machine Learning;Deep Learning;Artificial Intelligence;Healthcare Prediction;Agriculture Technology;Speech Recognition;Natural Language Processing (NLP);Medical Imaging;IoT (Internet of Things);Smart Systems;Cryptography;Image Classification;Disease Detection;Energy Efficiency;Cybersecurity;Stock Price Prediction;Sentiment Analysis;Generative Models;Data Augmentation;Human Activity Recognition