Pradeep garg (69 Ergebnisse)

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New.

Paperback. Zustand: Brand New. 278 pages. 10.00x7.00x10.00 inches. In Stock.

Paperback. Zustand: Brand New. 174 pages. 6.14x0.39x9.21 inches. In Stock.

Paperback. Zustand: Brand New. 180 pages. 6.14x0.42x9.21 inches. In Stock.

Paperback. Zustand: Brand New. 288 pages. 7.00x0.65x10.00 inches. In Stock.

Paperback. Zustand: Brand New. 264 pages. 10.00x7.00x10.00 inches. In Stock.

Zustand: New. Dr. Kuldeep Chaurasia is an Associate Professor at School of Computer Science Engineering and Technology at Bennett University, Greater Noida, India. He earned his Ph.D. in Geomatics from Indian Institute of Technology Roorkee, and made significan.

Zustand: New. Mangesh M. Ghonge is currently working as an Associate Professor at Sandip Institute of Technology and Research Center, Nashik, Maharashtra, India. He received his Ph.D. in Computer Science &amp Engineering from Sant Gadge Baba Amravati Universit.

Zustand: New. Dr. Lavanya Sharma is an assistant professor, Amity Institute of Information Technology at Amity University UP, Noida, India. She did her M.Tech (Computer Science and Engineering) in 2013 at Manav Rachna College of Engineering, affiliated with Mah.

paperback. Zustand: Very Good. Cover and edges may have some wear.

paperback. Zustand: Good.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 260 | Sprache: Englisch | Produktart: Bücher | This book focuses on a detailed description of the utilization of IoT with visual surveillance and its underlying technologies in critical application areas, such as smart grids, emergency departments, intelligent traffic cams, insurance, and the automotive industry. …

hardcover. Zustand: Very Good.

Taschenbuch. Zustand: Neu. Neuware - With rapid advancements in AI, this book reveals how AI can be a powerful tool in reducing pollution and fostering sustainability. It highlights the integration of geospatial techniques with AI for enhancing capabilities in mapping, analysis, and mitigation of environmental pollution. Starting with foundational concepts in AI, geospatial technology, and pollution, the book addresses air, water, soil and thermal pollution, emphasizing their harmful impacts. Through real-world case studies and advanced research, it showcases AI and geospatial technology's revolutionary role in pollution mitigation, exploring AI-driven sensors, satellite imagery, and associated networks for precise and efficient pollution monitoring and management.…

Taschenbuch. Zustand: Neu. Neuware - This book comprehensively discusses basic data-driven intelligent systems, the methods for processing the data, and cloud computing with artificial intelligence. It presents fundamental and advanced techniques used for handling large user data, and for the data stored in the cloud. It further covers data-driven decision-making for smart logistics and manufacturing systems, network security, and privacy issues in cloud computing.This book: - Discusses intelligent systems and cloud computing with the help of artificial intelligence and machine learning. - Showcases the importance of machine learning and deep learning in data-driven and cloud-based applications to improve their capabilities and intelligence. - Presents the latest developments in data-driven and cloud applications with respect to their design and architecture. - Covers artificial intelligence methods along with their experimental result analysis through data processing tools. - Presents the advent of machine learning, deep learning, and reinforcement technique for cloud computing to provide cost-effective and efficient services. The text will be useful for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer engineering, manufacturing engineering, and production engineering.…

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware - This book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of deep learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with deep learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, Alzheimer's disease, and genomes. - Presents practical approaches of using the IoT with deep learning vision and how it deals with human dynamics - Offers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genomes, and many more - Includes the latest technological advances in the IoT and deep learning with their implementations in healthcare - Combines deep learning and analysis in the unified framework to understand both IoT and deep learning applications - Covers the challenging issues related to data collection by sensors, detection and tracking of moving objects and solutions to handle relevant challenges Postgraduate students and researchers in the departments of computer science, working in the areas of the IoT, deep learning, machine learning, image processing, big data, cloud computing, and remote sensing will find this book useful.…

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.