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10 produkter
10 produkter
Häftad, Engelska, 2006
1 666 kr
Skickas inom 10-15 vardagar
Here are the refereed proceedings of the EUC 2006 workshops, held in conjunction with the IFIP International Conference on Embedded and Ubiquitous Computing in Seoul, Korea, August 2006. The book presents 102 revised papers spanning six workshops: network-centric ubiquitous systems (NCUS 2006), security in ubiquitous computing systems (SecUbiq 2006), RFID and ubiquitous sensor networks (USN 2006), trustworthiness, reliability and services in ubiquitous and sensor networks (TRUST 2006), embedded software optimization (ESO 2006), and multimedia solution and assurance in ubiquitous information systems (MSA 2006).
E-bok
PDF, Engelska, 20062 105 kr
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Del 15225 - Lecture Notes in Computer Science
Green, Pervasive, and Cloud Computing
19th International Conference, GPC 2024, Macao, China, September 27–30, 2024, Proceedings
Häftad, Engelska, 2025
1 445 kr
Skickas inom 10-15 vardagar
This book, LNCS 15225, constitutes the refereed proceedings of the 19th International Conference on Green, Pervasive, and Cloud Computing, GPC 2024, which took place in Macao, China, during September 27–30, 2024. The 13 full papers were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Cyber-Physical-Social Systems; Edge Intelligence; Industrial Digitization and Applications; Mobile Sensing and Computing; and Wireless and Ubiquitous Networking.
E-bok
Engelska, 20251 780 kr
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This book, LNCS 15225, constitutes the refereed proceedings of the 19th International Conference on Green, Pervasive, and Cloud Computing, GPC 2024, which took place in Macao, China, during September 27–30, 2024. The 13 full papers were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Cyber-Physical-Social Systems; Edge Intelligence; Industrial Digitization and Applications; Mobile Sensing and Computing; and Wireless and Ubiquitous Networking.
Inbunden, Engelska, 2024
1 725 kr
Skickas inom 10-15 vardagar
This book serves as a pivotal guide for professionals and researchers within the industrial computing domain, offering an extensive examination of edge computing in industrial environments. Tailored for individuals possessing a foundational understanding of industrial computing systems, it aims to augment their knowledge concerning the role and capabilities of edge computing in this dynamically evolving sector.In an era where real-time, reliable, and scalable computing solutions are of paramount importance, traditional cloud computing models grapple with challenges such as latency, bandwidth limitations, data sovereignty, and privacy concerns. This book positions edge computing as a crucial evolution in industrial data processing and analytics, specifically addressing these challenges. It introduces a distinctive three-layer industrial edge computing architecture that integrates device, edge, and application layers, explicitly designed to accommodate the intricacies of the Industrial Internet of Things (IIoT).Beyond elucidating the theoretical foundations of edge computing, the book delves into its practical applications, with a particular emphasize on edge-assisted model inference as a key scenario. It offers insightful case studies and discussions on the integration of edge computing with artificial intelligence (AI), illustrating how this collaboration is revolutionizing industrial systems. A comprehensive understanding of the material is facilitated by a background in computer science, industrial engineering, IoT, and cloud computing.
E-bok
Engelska, 20242 209 kr
Läs direkt efter köp
This book serves as a pivotal guide for professionals and researchers within the industrial computing domain, offering an extensive examination of edge computing in industrial environments. Tailored for individuals possessing a foundational understanding of industrial computing systems, it aims to augment their knowledge concerning the role and capabilities of edge computing in this dynamically evolving sector.
In an era where real-time, reliable, and scalable computing solutions are of paramount importance, traditional cloud computing models grapple with challenges such as latency, bandwidth limitations, data sovereignty, and privacy concerns. This book positions edge computing as a crucial evolution in industrial data processing and analytics, specifically addressing these challenges. It introduces a distinctive three-layer industrial edge computing architecture that integrates device, edge, and application layers, explicitly designed to accommodate the intricacies of the Industrial Internet of Things (IIoT).
Beyond elucidating the theoretical foundations of edge computing, the book delves into its practical applications, with a particular emphasize on edge-assisted model inference as a key scenario. It offers insightful case studies and discussions on the integration of edge computing with artificial intelligence (AI), illustrating how this collaboration is revolutionizing industrial systems. A comprehensive understanding of the material is facilitated by a background in computer science, industrial engineering, IoT, and cloud computing.
Häftad, Engelska, 2025
1 725 kr
Skickas inom 10-15 vardagar
This book serves as a pivotal guide for professionals and researchers within the industrial computing domain, offering an extensive examination of edge computing in industrial environments. Tailored for individuals possessing a foundational understanding of industrial computing systems, it aims to augment their knowledge concerning the role and capabilities of edge computing in this dynamically evolving sector.In an era where real-time, reliable, and scalable computing solutions are of paramount importance, traditional cloud computing models grapple with challenges such as latency, bandwidth limitations, data sovereignty, and privacy concerns. This book positions edge computing as a crucial evolution in industrial data processing and analytics, specifically addressing these challenges. It introduces a distinctive three-layer industrial edge computing architecture that integrates device, edge, and application layers, explicitly designed to accommodate the intricacies of the Industrial Internet of Things (IIoT).Beyond elucidating the theoretical foundations of edge computing, the book delves into its practical applications, with a particular emphasize on edge-assisted model inference as a key scenario. It offers insightful case studies and discussions on the integration of edge computing with artificial intelligence (AI), illustrating how this collaboration is revolutionizing industrial systems. A comprehensive understanding of the material is facilitated by a background in computer science, industrial engineering, IoT, and cloud computing.
Inbunden, Engelska, 2025
2 435 kr
Skickas inom 3-6 vardagar
This book aims to provide a comprehensive overview of how artificial intelligence (AI) and big data analytics are transforming bioinformatics and biomedical research. It covers a wide range of computational methods applied to biomedical big data, including genomics, transcriptomics, proteomics, and imaging data, with a focus on their role in precision medicine.The book is structured to guide readers from foundational AI models and data integration techniques to advanced applications in systems biology and drug discovery. It explores key topics such as single-cell and spatial omics analysis, genetic variation studies, and computational modeling of disease processes. Additionally, it highlights cutting-edge approaches in synthetic biology, mRNA optimization, and small molecule generation.Designed for researchers, bioinformaticians, and clinicians, this book bridges the gap between computational sciences and biomedical applications. It aims to equip readers with the necessary knowledge to develop AI-driven solutions for diagnosing diseases, predicting treatment responses, and designing novel therapeutics. By integrating theoretical insights with real-world applications, the book serves as both an educational resource and a reference for ongoing advancements in AI-driven biomedical research.
Inbunden, Engelska, 2027
1 554 kr
Kommande
This book offers a comprehensive and timely guide to advancing the use of AI agents in biomedical data analysis, precision diagnostics, and the development of novel therapeutics. Biomedical AI agents are intelligent software systems that leverage artificial intelligence (AI) and machine learning (ML) to learn, analyze, and perform complex tasks in biomedical research and clinical medicine.The book is structured around two key components: single AI agents and multi-agent AI systems. Core topics include foundational concepts in machine learning, large language models (LLMs), and autonomous AI agents; as well as cutting-edge applications such as AI-powered single-cell analysis, multi-omics data integration, drug discovery, synthetic biology, whole-body digital twins, and autonomous scientific discovery.By bridging computational science and biomedical research, this book fosters collaboration among AI researchers, data scientists, biologists, clinicians, and industry experts, driving innovation in AI-driven biomedical science and healthcare solutions.
Inbunden, Engelska, 2008
1 682 kr
Tillfälligt slut
Computational systems biology is a new and rapidly developing field of research, concerned with understanding the structure and processes of biological systems at the molecular, cellular, tissue, and organ levels through computational modeling as well as novel information theoretic data and image analysis methods. By focusing on either information processing of biological data or on modeling physical and chemical processes of biosystems, and in combination with the recent breakthrough in deciphering the human genome, computational systems biology is guaranteed to play a central role in disease prediction and preventive medicine, gene technology and pharmaceuticals, and other biotechnology fields.This book begins by introducing the basic mathematical, statistical, and data mining principles of computational systems biology, and then presents bioinformatics technology in microarray and sequence analysis step-by-step. Offering an insightful look into the effectiveness of the systems approach in computational biology, it focuses on recurrent themes in bioinformatics, biomedical applications, and future directions for research.