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Full 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.
This book comprises 21 chapters, each providing technical details pertaining to 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. 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.
Contents
Part 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 (DL) framework for gastrointestinal (GI) abnormality 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 (ML) 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 (GI) bleeding in WCE images based on fusing a stabilizing block with Xception, 8. Lung tumor recognition and classification in CT scan images using CNNs, transfer learning, and ensemble learning, 9. A new pedestrian detection method for intelligent surveillance systems, Part 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 pandemic, 15. Signal processing system for Heart Rate Extraction via LabVIEW, 16. Investigating the impacts of COVID-19 over time using sentiment analysis and topic modeling, Part 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
