Innovative Approaches in Computational Systems and Smart Applications /
As the landscape of technology continues to evolve, the integration of intelligent systems and data-driven approaches is pushing the boundaries of innovation across multiple sectors. Developments in artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and smart systems are...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Subjects: |
Table of Contents:
- Title Page
- Copyright Page
- Table of Contents
- Detailed Table of Contents
- Preface
- Chapter 1: Advancements in Image Processing Techniques for Assessing Biotic and Abiotic Stress in Rice Plants
- Chapter 2: Applications of AI In Healthcare, Agriculture, Finance, and Other Industries
- Chapter 3: Blockchain Applications for Transparent Fund Management, Donor Accountability, and Intellectual Property Rights in Digital Libraries
- Chapter 4: Breast Cancer Risk Estimation Using Explainable Artificial Intelligence-Based Machine Learning Techniques
- Chapter 5: IoT Applications in Agriculture, Healthcare, and Industry
- Chapter 6: IoT-Based Drip Irrigation Sequential Data Classification Using SVM
- Chapter 7: K-Means Clustering for Profiling Logical-Mathematical Intelligence and Problem-Solving Abilities
- Chapter 8: Machine Learning Techniques for Network Security
- Chapter 9: Security Analysis in an Internet of Things Research Perspective Using Bibliometric Analysis
- Chapter 10: Sentiment Analysis in Transportation Apps
- Chapter 11: Vesting Smart Irrigation-Farming Infusing Blockchain and Internet of Agricultural Things (IoAT)
- Chapter 12: YOLO-based CCTV Surveillance Advanced Techniques for Cheating Detection
- Compilation of References
- About The Contributors
- Index