Parallel Processing And Data Management
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Parallel Processing And Data Management
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Author : Patrick Valduriez
language : en
Publisher:
Release Date : 1992-01-01
Parallel Processing And Data Management written by Patrick Valduriez and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-01-01 with Data processing categories.
Handbook On Data Management In Information Systems
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Author : Jacek Blazewicz
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Handbook On Data Management In Information Systems written by Jacek Blazewicz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
This book is the sixth of a running series of volumes dedicated to selected topics of information theory and practice. The objective of the series is to pro vide a reference source for problem solvers in business, industry, government, and professional researchers and gradute students. The first volume, Handbook on Architecture of Information Systems, presents a balanced number of contributions from academia and practition ers. The structure of the material follows a differentiation between model ing languages, tools and methodologies. The second volume, Handbook on Electronic Commerce, examines electronic commerce storefront, on-line busi ness, consumer interface, business-to-business networking, digital payment, legal issues, information product development and electronic business mod els. The third volume, Handbook on Parallel and Distributed Processing, presents basic concepts, methods, and recent developments in the field of parallel and distributed processing as well as some important aplications of parallel and distributed computing. In particular, the book examines such fundamental issues in the above area as languages for parallel processing, parallel operating systems, architecture of parallel and distributed systems, parallel database and multimedia systems, networking aspects of parallel and distributed systems, efficiency of parallel algorithms. The fourth volume on Information Technologies for Education and Training is· devoted to a pre sentation of current and future research and applications in the field of ed ucational technology. The fifth double volume on Knowledge Management contains an extensive, fundamental coverage of the knowledge management field.
High Throughput Field Phenotyping To Advance Precision Agriculture And Enhance Genetic Gain Volume Ii
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Author : Andreas Hund
language : en
Publisher: Frontiers Media SA
Release Date : 2024-03-01
High Throughput Field Phenotyping To Advance Precision Agriculture And Enhance Genetic Gain Volume Ii written by Andreas Hund and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-01 with Science categories.
This Research Topic is part of the High-Throughput Field Phenotyping to Advance Precision Agriculture and Enhance Genetic Gain series. The discipline of “High Throughput Field Phenotyping” (HTFP) has gained momentum in the last decade. HTFP includes a wide range of disciplines such as plant science, agronomy, remote sensing, and genetics; as well as biochemistry, imaging, computation, agricultural engineering, and robotics. High throughput technologies have substantially increased our ability to monitor and quantify field experiments and breeding nurseries at multiple scales. HTFP technology can not only rapidly and cost-effectively replace tedious and subjective ratings in the field, but can also unlock the potential of new, latent phenotypes representing underlying biological function. These advances have also provided the ability to follow crop growth and development across seasons at high and previously inaccessible spatial and temporal resolutions. By combining these data with measurements of all environmental factors affecting plant growth and yield (“Envirotyping”), genotypic-specific reaction norms and phenotypic plasticity may be elucidated.
Methods And Applications For Modeling And Simulation Of Complex Systems
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Author : Fazilah Hassan
language : en
Publisher: Springer Nature
Release Date : 2023-10-12
Methods And Applications For Modeling And Simulation Of Complex Systems written by Fazilah Hassan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-12 with Computers categories.
This book constitutes the refereed proceedings of the 22nd Asia Simulation Conference on Methods and Applications for Modeling and Simulation of Complex Systems, AsiaSim 2023, held in Langkawi, Malaysia, during October 25–26, 2023. The 77 full papers included in this book were carefully reviewed and selected from 164 submissions. They were organized in topical sections as follows: Modelling and Simulation, Artificial intelligence, Industry 4.0, Digital Twins Modelling, Simulation and Gaming, Simulation for Engineering, Simulation for Sustainable Development, Simulation in Social Sciences.
Database Management Using Ai A Comprehensive Guide
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Author : A Purushotham Reddy
language : en
Publisher: A Purushotham Reddy
Release Date : 2024-10-20
Database Management Using Ai A Comprehensive Guide written by A Purushotham Reddy and has been published by A Purushotham Reddy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-20 with Computers categories.
Database Management Using AI: The Ultimate Guide for Data Professionals Database Management Using AI: A Comprehensive Guide is an essential resource for anyone eager to explore how artificial intelligence (AI) is revolutionizing the field of database management. This book caters to a wide audience, from database administrators, data scientists, and tech enthusiasts to professionals looking to integrate AI into their data management practices. It offers a professional yet easily understandable exploration of how AI is transforming modern data systems. The guide starts by laying a solid foundation in database management fundamentals, covering key concepts such as data models, SQL, and database design principles. It then delves into how AI can optimize database performance, enhance security, and automate complex tasks like data retrieval, query optimization, and schema design. With this book, readers will gain deep insights into integrating AI with traditional database systems and how AI tools are shaping the future of data management. Unlike other books that focus purely on theory, this guide stands out by emphasizing real-world applications. Through practical case studies, it demonstrates how AI-driven database systems are being leveraged across industries such as e-commerce, healthcare, finance, and logistics. These case studies show the real-world impact of AI, helping businesses increase efficiency, reduce errors, and make smarter, data-backed decisions. The book illustrates how AI is enabling organizations to stay ahead in a competitive market by harnessing the power of intelligent database management. Throughout the guide, readers will learn about the evolution of database systems, including the shift from relational databases to modern NoSQL databases, and how AI is enhancing traditional database models to meet the demands of the digital age. The book explores how AI integration in databases is transforming how data is processed and analyzed, automating repetitive tasks and improving the scalability and performance of databases. One of the key highlights of this book is the coverage of AI in database management. Readers will learn how AI is being used to automate routine database tasks, improve security by predicting and mitigating threats, and streamline database management operations through automation. Additionally, the book delves into how AI helps in predictive analytics and data mining, uncovering hidden patterns and enabling organizations to make accurate predictions based on large volumes of data. The book also covers predictive analytics and data mining, teaching readers how AI tools can be used to extract valuable insights from data, identify trends, and uncover business opportunities that were previously hard to detect. By understanding how AI can leverage data to drive business intelligence, readers will be able to implement AI-driven solutions that improve decision-making processes. Furthermore, this guide explores the future of database management with AI. It takes a close look at emerging trends, including autonomous databases and the growing role of cloud-based AI solutions in shaping the future of data management. These innovative technologies are creating intelligent, self-managing databases that are poised to revolutionize how data is stored, processed, and analyzed. Database Management Using AI provides readers with the knowledge and practical skills needed to navigate the fast-evolving landscape of AI-powered databases. Whether you're an industry professional or a student, this book is packed with actionable insights that will keep you ahead in the digital world. It’s a must-have resource for anyone looking to understand the practical impact of AI on database systems and harness the power of machine learning, big data, and cloud computing to transform their approach to data management. With its combination of clear explanations, real-world case studies, and forward-looking insights, this book is the ultimate guide for anyone wanting to stay competitive in the digital age. Database Management Using AI is more than just a book—it's an essential tool for anyone serious about mastering the future of data systems. Refer www.latest2all.com for details...
Advances In Information Technology In Civil And Building Engineering
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Author : Adel Francis
language : en
Publisher: Springer Nature
Release Date : 2025-03-29
Advances In Information Technology In Civil And Building Engineering written by Adel Francis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-29 with Technology & Engineering categories.
This book gathers the latest advances, innovations, and applications in the field of information technology in civil and building engineering, presented at the 20th International Conference on Computing in Civil and Building Engineering (ICCCBE), held in Montreal, Canada on August 25-28, 2024. It covers highly diverse topics such as BIM, construction information modeling, knowledge management, GIS, GPS, laser scanning, sensors, monitoring, VR/AR, computer-aided construction, product and process modeling, big data and IoT, cooperative design, mobile computing, simulation, structural health monitoring, computer-aided structural control and analysis, ICT in geotechnical engineering, computational mechanics, asset management, maintenance, urban planning, facility management, and smart cities. Written by leading researchers and engineers, and selected by means of a rigorous international peer-review process, the contributions highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations.
Official Gazette Of The United States Patent And Trademark Office
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Author :
language : en
Publisher:
Release Date : 2003
Official Gazette Of The United States Patent And Trademark Office written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Trademarks categories.
Proficient Mysql Database Management Advanced Techniques And Strategies
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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2024-11-27
Proficient Mysql Database Management Advanced Techniques And Strategies written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-27 with Computers categories.
"Proficient MySQL Database Management: Advanced Techniques and Strategies" is the essential guide for anyone seeking to elevate their proficiency in managing MySQL databases. Ideal for database administrators, developers, and data analysts, this comprehensive resource delves into the intricacies of MySQL, from its foundational architecture to sophisticated optimization techniques and cutting-edge security measures. Within, you’ll discover expert guidance on designing high-performance, scalable databases, mastering a wide array of SQL commands, implementing advanced security protocols, and maintaining optimum database availability and performance. Each chapter meticulously introduces pivotal concepts and techniques, bolstered by practical examples and actionable tips applicable to real-world scenarios. Focusing on the latest advancements and best practices in MySQL, "Proficient MySQL Database Management" empowers you to: - Grasp the fundamental architecture and integral components of MySQL. - Excel in both basic and advanced data manipulation strategies. - Engineer and oversee efficient, dependable databases. - Enhance database performance via indexing and comprehensive tuning. - Fortify your data security and assure uninterrupted availability. Whether you’re new to MySQL or aiming to sharpen your expertise, this book equips you to elevate your database management skills, ensuring your systems are optimized, secure, and ready to tackle the challenges of contemporary applications. Explore "Proficient MySQL Database Management: Advanced Techniques and Strategies" and unlock the comprehensive potential of MySQL for your projects.
Query Processing In Parallel Relational Database Systems
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Author : Hongjun Lu
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 1994
Query Processing In Parallel Relational Database Systems written by Hongjun Lu and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
Provides readers with a background knowledge of parallel database query processing and optimization and covers recent developments in the field. Subjects include design approaches, architecture of parallel database systems, parallel sorting, parallel processing of join, data skew and load balancing,
Big Data Management And Processing
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Author : Kuan-Ching Li
language : en
Publisher: CRC Press
Release Date : 2017-05-19
Big Data Management And Processing written by Kuan-Ching Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-19 with Business & Economics categories.
From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies." ---Sartaj Sahni, University of Florida, USA "Big Data Management and Processing covers the latest Big Data research results in processing, analytics, management and applications. Both fundamental insights and representative applications are provided. This book is a timely and valuable resource for students, researchers and seasoned practitioners in Big Data fields. --Hai Jin, Huazhong University of Science and Technology, China Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage of innovative problem solving techniques for a range of platforms. It serves as a repository of paradigms, technologies, and applications that target different facets of big data computing systems. The first part of the book explores energy and resource management issues, as well as legal compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co-scheduling for high performance computing applications. The second part of the book includes comprehensive coverage of Hadoop and Spark, along with security, privacy, and trust challenges and solutions. The latter part of the book covers mining and clustering in Big Data, and includes applications in genomics, hospital big data processing, and vehicular cloud computing. The book also analyzes funding for Big Data projects.