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Intelligent Systems and Sustainable Computational Models : Concepts, Architecture, and Practical Applications

Intelligent Systems and Sustainable Computational Models : Concepts, Architecture, and Practical Applications (Paperback)

Pethuru Raj, Kumar Senthil, Rajganesh Nagarajan, Ramkumar Thirunavukarasu (엮은이)
Auerbach Publications
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Intelligent Systems and Sustainable Computational Models : Concepts, Architecture, and Practical Applications
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책 정보

· 제목 : Intelligent Systems and Sustainable Computational Models : Concepts, Architecture, and Practical Applications (Paperback) 
· 분류 : 외국도서 > 컴퓨터 > 정보통신기술(IT)
· ISBN : 9781032527055
· 쪽수 : 428쪽
· 출판일 : 2025-12-26

목차

1. Smart Power Management in Data Centers Using Machine-Learning Techniques, 2. Exploring the Power of Deep Learning and Big Data in Flood Forecasting: State-of-the-Art Techniques and Insights, 3. Storage Management Techniques for Medical Internet of Things (MIoT), 4. A Study on Trending Technologies for IoT Use Cases Aspires to Build Sustainable Smart Cities, 5. Hydro-Meteorological Disaster Prediction Using Deep Learning Techniques, 6. Assessment of ICT for Sustainable Developments with Reference to Fog and Cloud Computing, 7. Explainable Artificial Intelligence (XAI) for Computational Sustainability: Concepts, Opportunities, Challenges, and Future Directions, 8. Edge Computing-Based Intrusion Detection Systems: A Review of Applications, Challenges, and Opportunities, 9. Recent Advancements in IoT Security-Based Challenges: A Brief Review, 10. An Approach to Smart Targeted Advertising Using Deep Convolutional Neural Networks, 11. Text Classification of Customer and Salesperson Conversations to Predict Sales Using Ensemble Models, 12. Sentimental Analysis on Amazon Book Reviews: A Deep Learning Approach, 13. A Deep LSTM Recurrent Learning Approach for Sentiment Analysis on Movie Reviews, 14. Cognitive Intelligent Personal Learning Assistants for Enriching Personalized Learning, 15. Natural Language Processing for Fake News Detection Using Hybrid Deep Learning Techniques, 16. A Comparative Analysis of Deep Learning Models for Fake News Detection and Popularity Prediction of Articles, 17. Internet of Things (IoT)-Based Smart Maternity Healthcare Services, 18. A Real-Time Automated Face Recognition and Detection System for Competitive Examination, 19. Medical Image Analysis with Vision Transformers for Downstream Tasks and Clinical Report Generation, 0. Ensemble Embedding and Convolutional Neural Network-Based Big Data Framework for Structure Prediction of Proteins, 21. Deep Learning-Based Automated Diagnosis and Prescription of Plant Diseases, 22. Intelligent Farming Through Weather Forecasting Using Deep Learning Techniques for Enhancing Crop Productivity, 23. Plant Disease Detection and Classification Using a Deep Learning Approach for Image-Based Data, 24. Deep Learning-Based Object Detection in Real-Time Video, 25. Prediction of COVID Stages Using Data Analysis and Machine Learning, 26. A Statistical Analysis of Suitable Drugs for Major Drug Resistant Mutations in the HIV-1 Group M Virus

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