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Computational intelligence in communications and business analytics = 6th International Conference, CICBA 2024, Patna, India, January 23-25, 2024 : revised selected papers.. Part II /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational intelligence in communications and business analytics/ edited by Jyoti Prakash Singh ... [et al.].
其他題名:	6th International Conference, CICBA 2024, Patna, India, January 23-25, 2024 : revised selected papers.
其他題名:	CICBA 2024
其他作者:	Singh, Jyoti Prakash.
團體作者:	CICBA (Conference)
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xv, 348 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Computational intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-81339-9
ISBN:	9783031813399

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 in communications and business analytics6th International Conference, CICBA 2024, Patna, India, January 23-25, 2024 : revised selected papers.Part II /[electronic resource] :CICBA 2024edited by Jyoti Prakash Singh ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xv, 348 p. :ill., digital ;24 cm. - Communications in computer and information science,23671865-0937 ;. - Communications in computer and information science ;2367..

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.

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.

ISBN: 9783031813399

Standard No.: 10.1007/978-3-031-81339-9doiSubjects--Topical Terms:

704428
Computational intelligence
--Congresses.

LC Class. No.: Q342 / .C66 2024

Dewey Class. No.: 005.74

Computational intelligence in communications and business analytics = 6th International Conference, CICBA 2024, Patna, India, January 23-25, 2024 : revised selected papers.. Part II /
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