Smart Applications of Artificial Intelligence and Big Data
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58 201 Ft
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 7 July 2025
- ISBN 9781032664279
- Binding Hardback
- No. of pages304 pages
- Size 234x156 mm
- Language English
- Illustrations 202 Illustrations, black & white; 143 Halftones, black & white; 59 Line drawings, black & white; 37 Tables, black & white 700
Categories
Short description:
Smart Applications of Artificial Intelligence and Big Data covers a wide range of topics related to AI and big data, including machine learning, deep learning, natural language processing, computer vision, data analytics, and data mining.
MoreLong description:
Smart Applications of Artificial Intelligence and Big Data covers a wide range of topics related to AI and big data, including machine learning, deep learning, natural language processing, computer vision, data analytics, and data mining. It focuses on the integration of these technologies to create smart applications, such as intelligent transportation systems, smart healthcare, smart cities, and smart grids. The book comprises of twenty-one chapters, each providing technical details of the research, practical examples, and case studies to help readers understand the real-world applications of AI and big data technologies. The book also highlights cutting-edge research on AI and big data, including novel algorithms, tools, and techniques. It discusses the challenges and opportunities of using AI and big data to develop smart applications and provides recommendations for the development of responsible and transparent AI-based systems. Therefore, this book is a valuable resource for researchers and professionals looking to stay up-to-date with the latest advancements in AI and big data and how they can be applied to solve real-world challenges.
MoreTable of Contents:
I- Artificial Intelligence (AI) 1. Resource Utilization and Cost Implications of Container Live Migration in Clouds: An Approach Performed on Amazon Web Services (AWS) 2. A Deep Learning Framework for Gastrointestinal Abnormalities Classification and Localization within WCE Images 3. Breast Cancer Segmentation using U-Net and Transfer Learning Approaches 4. Transforming Graphics Processing Unit-Accelerated Machine Learning Environments with Docker Cloud Containers 5. A Review of Image-based Deep Learning Approaches for Atmospheric Visibility Estimation 6. Advancing Cloud Security: Evaluating Interpretable Machine Learning Algorithms for DDoS Attack Detection 7. Classification of Gastrointestinal Bleeding in WCE Images Based on Fusing a Stabilizing Block with Xception 8. Lung Tumors Recognition and Classification in CT Scan Images Using CNNs, Transfer Learning, and Ensemble Learning 9. A new pedestrian detection method for intelligent surveillance systems II-Smart Applications 10. Compensation of Harmonic Currents for Shunt Active Power Filter Using ADALINE Neural Network 11. Control of a Grid-Connected Photovoltaic System Based on MPPT and Vector Control 12. GeoArgania: A Geolocation Mapping Dataset of Argania Trees in the Souss Region 13. PSM Model for NoSQL Key-Value Databases Through Model Programming 14.Body Temperature Screening During COVID-19 Pandemic15. Signal Processing System for Heart Rate Extraction Using Plethysmography Analysis Through LabVIEW Platform 16. Investigating the Impacts of COVID-19 Over Time Using Sentiment Analysis and Topic Modeling III- Internet of Things (IoT) AND Big Data 17. Smart EV Routing to Charging Stations for Traffic Optimization in Smart Cities: A Case Study in Agadir 18. Dual-Scored Dimensionality Reduction and Spectral Unmixing for Hyperspectral Data Analysis 19. Counterfeit Medicine Detection System 20. SDN Enabled Intrusion Detection System Using Machine Learning and Neural Network Schemes 21. Information Security Awareness in Higher Education: The Need for a Tailor-Made Suit
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