Computational Intelligence in Communications and Business Analytics
Springer International Publishing (Verlag)
978-3-031-81341-2 (ISBN)
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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.
Computational Intelligence I.- Depression Clinic People's Mental Health Prediction Using Information from Online Social Media Networks (OSN).- A Novel Hindi Voice Based Assistant System Architecture for E Commerce.- Early Classification of Alzheimer's Disease Using Deep Learning Technique.- Spoken Metro Station Name Identification A Deep Learning Based Approach.- EDR DT A Novel Energy Function Based Enhanced Decision Tree Model for Classification.- Enhancing Agriculture Using Machine Learning Powered Smart Agricultural Systems.- Classification Of Tomato Maturity Levels An Efficient Approach with Statistical Features.- Iot Based Multifunctional Agriculture Monitoring and Smart Irrigation System.- Covid Ct H Unet A Novel Covid 19 CT Segmentation Network Based on Attention Mechanism and Bi Category Hybrid Loss.- A Review on The Efficacy of Different Data Augmentation Technique for Deep Learning.- MLAEDensenet Multi Layer Attention Enhanced Densenet for Efficient Video Action Recognition.- Word Sense Disambiguation for Bodo Language Using Simplified Lesk.- Smali Code Based Fake Application Detection.- From Haze and Smoke to Clarity An Integration of Deep Learning and Atmospheric Model.- Integrating BiLSTM BiGRU with Autoencoders for Enhanced Feature Representation and Deep Q Networks for Clinical Event Classification in Medical Records.- Agile Development Using A Hybrid Approach For Cost Estimation of IT Projects.- Lung Cancer Diagnosis Using Image Enhancement and Machine Learning Methods.- An Ml Based Hybrid Model for IIoT Attack Classification in Industry 4.0 Ecosystem.- Design of an explainable AI Model with Q Convolutional Neural Networks for Patient Health Reporting.- Convolutional Neural Networks for Patient.- Enhancing Visual Question Answering with Beam Search in Transformer Models.- Analyzing The Effect of Coffee Consumption on Visual Pathway Using Visual Evoked Potential (VEP) Signals and Machine Learning Algorithms.- A Survey on Machine Learning Techniques for Recognizing Human Activities Using Smartphone Data.- Digital Twin for Diabetes Management Using System Dynamics Simulation The Case of India.- Analysis Of Occupational Stress Effects and Coping Among Prison Officers A Case of RAK Prison Centre, United Arab Emirates.- Custom Ensemble Machine Learning Algorithm for Interactive Symptom Based Disease Prediction.- Leveraging Handwriting Dynamics, Explainable AI And Machine Learning for Alzheimer Prediction.- Machine Learning Powered Insights A Comprehensive Survey on Pcos Detection and Diagnosis.
| Erscheint lt. Verlag | 28.1.2025 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XII, 234 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
| Schlagworte | Agriculture technology • Artificial Intelligence • cryptography • cybersecurity • Data Augmentation • Deep learning • disease detection • energy efficiency • generative models • Healthcare Prediction • Human Activity Recognition • image classification • IoT (Internet of Things) • machine learning • Medical Imaging • Natural Language Processing (NLP) • sentiment analysis • Smart Systems • Speech Recognition • stock price prediction |
| ISBN-10 | 3-031-81341-3 / 3031813413 |
| ISBN-13 | 978-3-031-81341-2 / 9783031813412 |
| Zustand | Neuware |
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