Computational Intelligence in Communications and Business Analytics
6th International Conference, CICBA 2024, Patna, India, January 23-25, 2024, Revised Selected Papers, Part II
Herausgegeben:Singh, Jyoti Prakash; Singh, Maheshwari Prasad; Singh, Amit Kumar; Mukhopadhyay, Somnath; Mandal, Jyotsna K.; Dutta, Paramartha
Computational Intelligence in Communications and Business Analytics
6th International Conference, CICBA 2024, Patna, India, January 23-25, 2024, Revised Selected Papers, Part II
Herausgegeben:Singh, Jyoti Prakash; Singh, Maheshwari Prasad; Singh, Amit Kumar; Mukhopadhyay, Somnath; Mandal, Jyotsna K.; Dutta, Paramartha
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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.
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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.
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.
Produktdetails
- Produktdetails
- Communications in Computer and Information Science 2367
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-81338-2
- Seitenzahl: 364
- Erscheinungstermin: 12. Februar 2025
- Englisch
- Abmessung: 235mm x 155mm x 20mm
- Gewicht: 552g
- ISBN-13: 9783031813382
- ISBN-10: 3031813383
- Artikelnr.: 72139184
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
- Communications in Computer and Information Science 2367
- Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
- Artikelnr. des Verlages: 978-3-031-81338-2
- Seitenzahl: 364
- Erscheinungstermin: 12. Februar 2025
- Englisch
- Abmessung: 235mm x 155mm x 20mm
- Gewicht: 552g
- ISBN-13: 9783031813382
- ISBN-10: 3031813383
- Artikelnr.: 72139184
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
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.
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.