UID:
almahu_9949985938102882
Umfang:
XV, 348 p. 141 illus., 120 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2025.
ISBN:
9783031813399
Serie:
Communications in Computer and Information Science, 2367
Inhalt:
This three-volume set CCIS 2366-2368 constitutes the refereed proceedings of the 6th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2024, held in Patna, India, during January 23-25, 2024. The 82 full papers presented in this volume were carefully reviewed and selected from 249 submissions. Together, these papers showcase cutting-edge research in the fields of computational intelligence and business analytics, covering a broad range of topics.
Anmerkung:
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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031813382
Weitere Ausg.:
Printed edition: ISBN 9783031813405
Sprache:
Englisch
DOI:
10.1007/978-3-031-81339-9
URL:
https://doi.org/10.1007/978-3-031-81339-9
