shukla uday (22 resultados)

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PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Softcover. Condición: Gut. Gebraucht - Gut Verlagsmängelex., XXI, 735 p. (Also available as online version This book constitutes the refereed proceedings of the 9th International Conference on High Performance Computing, HiPC 2002, held in Bangalore, India in December 2002. The 57 revised full contributed papers and 9 invited papers presented together with various keynote abstracts were carefully reviewed and selected from 145 submissions. The papers are organized in topical sections on algorithms, architecture, systems software, networks, mobile computing and databases, applications, scientific computation, embedded systems, and biocomputing. For Researchers and professionals.

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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - To conclude, modi ed design and implementation of a middleware, NICAN, to dynamically supply local network information to distributed scienti c app- cations was presented. The application provides adaptive capabilities, is n- intrusive, exible, easy to use and extensible. The distributed scienti c appli- tion can use this tool for information collection to its advantage without s- stantial code instrumentation. References [1] D.Andersen,D.Bansal,D.Curtis,S.Seshan,andH.Balakrishnan. Systems- portforbandwidthmanagementandcontentadaptationininternetapplications. In Proceedings of 4th Symposium on Operating Systems Design and Implemen- tion San Diego,CA.USENIXAssociation.:213-226,October2000. 555 [2] G.Chen.Providingdynamicnetworkinformationtodistributedapplications.May 2001. Computer Science Deparment, University of Minnesota Duluth. Master s Thesis. 559 [3] Xiaodong Fu, Weisong Shi, Anatoly Akkerman, and Vijay Karamcheti. Cans: Composable, adaptive network services infrastructure. In USENIX Symposium on Internet Technologies and Systems (USITS),March2001. 555 [4] D.KulkarniandM.Sosonkina. Usingdynamicnetworkinformationtoimprove theruntimeperformanceofadistributedsparselinearsystemsolution.T echnical ReportUMSI-2002-10,2002. 559 [5] DevdattaKulkarniandMashaSosonkina. Aframeworkforintegratingnetwork information intodistributediterative solution of sparse linearsystems. In P- ceedings of the 5th International Meeting of Vector and Parallel Processing, VEC- PAR 2002. 560 [6] Z.Li,Y.Saad,and M.Sosonkina. pARMS:Aparallel version of thealgebraic recursivemultilevelsolver. TechnicalReportUMSI-2001-100,MinnesotaSup- computerInstitute,UniversityofMinnesota,Minneapolis,MN,2001. 559 [7] B.Lowekamp,N.Miller,D.Sutherland,T.Gross,P.Steenkiste,andJ.Subhlok.

Condición: New. Dr. Siddharth Singh Chouhan is currently working as a Senior Assistant Professor Grade 2 in the School of Computing Science and Engineering, VIT Bhopal University, Sehore, India. He has a B.Tech. (with Honours) 2010, an MTech (with Honours), 2013 .

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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnMusings is a collection of divergent poems that are simple to comprehend and yet deep in nature. They deal with sentiments that everyone can relate with, and they highlight the beauty of the glorious world that we live in. They ho.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Musings is a collection of divergent poems that are simple to comprehend and yet deep in nature. They deal with sentiments that everyone can relate with, and they highlight the beauty of the glorious world that we live in. They hold sweet promise for the daunting future.

Taschenbuch. Condición: Neu. Musings | Shreya Uday Shukla | Taschenbuch | Englisch | 2015 | Partridge India | EAN 9781482844788 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Hardcover. Condición: new. Hardcover. Agriculture is going through a technology renaissance with deep learning leading the way. This volume addresses how advanced AI methods are transforming the future of farming, food systems, and environmental sustainability. It is forward-looking guide to integrating smart systems in agriculture across all scales - from soil to satellite. The volume comprises contributions from international leaders in AI, agronomy, genomics, remote sensing, and robotics. It addresses a broad array of emerging topics, such as autonomous farming systems, UAVs, and deep reinforcement learning for field operations; computer vision and hybrid models for crop, weed, and livestock detection; and advanced edge and federated learning approaches to real-time, privacy-conscious decision-making. It also discusses explainable AI for transparent agricultural models, deep learning in crop genomics and trait prediction, biodiversity monitoring, and time-series forecasting of pests and climate stress. Generative AI for generating synthetic agricultural data and simulating digital farms with AR/VR and digital twins are also covered. With a focus on climate-smart agriculture, the book addresses the role that deep learning can play in promoting resilient, adaptive, and sustainable food systems under climate change and food insecurity globally. It concludes with an examination of the ethical, regulatory, and policy issues, presenting a vision for inclusive, human-centric AI in agriculture.Key Features: Integrates autonomous agriculture, explainable artificial intelligence, edge/federated learning, genomics of crops, and biodiversity monitoring.Highlights climate-resilient agriculture and future-proof simulations.Incorporates real-world applications, case studies, and multidisciplinary viewpoints.Connects AI research, policy, and ethics with agricultural adoption. This book explores how deep learning and advanced AI are revolutionizing agriculture, from autonomous systems and UAVs to computer vision, genomics, and generative AI for synthetic data and digital twins. It emphasizes climate-smart, sustainable farming amid global challenges, while addressing ethics and policy for inclusive AI. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -To conclude, modi ed design and implementation of a middleware, NICAN, to dynamically supply local network information to distributed scienti c app- cations was presented. The application provides adaptive capabilities, is n- intrusive, exible, easy to use and extensible. The distributed scienti c appli- tion can use this tool for information collection to its advantage without s- stantial code instrumentation. References [1] D.Andersen,D.Bansal,D.Curtis,S.Seshan,andH.Balakrishnan. Systems- portforbandwidthmanagementandcontentadaptationininternetapplications. In Proceedings of 4th Symposium on Operating Systems Design and Implemen- tion San Diego,CA.USENIXAssociation.:213-226,October2000. 555 [2] G.Chen.Providingdynamicnetworkinformationtodistributedapplication s.May 2001. Computer Science Deparment, University of Minnesota Duluth. Master s Thesis. 559 [3] Xiaodong Fu, Weisong Shi, Anatoly Akkerman, and Vijay Karamcheti. Cans: Composable, adaptive network services infrastructure. In USENIX Symposium on Internet Technologies and Systems (USITS),March2001. 555 [4] D.KulkarniandM.Sosonkina. Usingdynamicnetworkinformationtoimprove theruntimeperformanceofadistributedsparselinearsystemsolution.Technical ReportUMSI-2002-10,2002. 559 [5] DevdattaKulkarniandMashaSosonkina. Aframeworkforintegratingnetwork information intodistributediterative solution of sparse linearsystems. In P- ceedings of the 5th International Meeting of Vector and Parallel Processing, VEC- PAR 2002. 560 [6] Z.Li,Y.Saad,and M.Sosonkina. pARMS:Aparallel version of thealgebraic recursivemultilevelsolver. TechnicalReportUMSI-2001-100,MinnesotaSup- computerInstitute,UniversityofMinnesota,Minneapolis,MN,2001. 559 [7] B.Lowekamp,N.Miller,D.Sutherland,T.Gross,P.Steenkiste,andJ.Subhlok. 764 pp. Englisch.

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Keynote Address.- Info-Bio-Nano Interface: High-Performance Computing & Visualization.- Algorithms I.- 2-D Wavelet Transform Enhancement on General- Purpose Microprocessors: Memory Hierarchy and SIMD Parallelism Exploitation.- A General Data Layout for Dist.

Hardcover. Condición: new. Hardcover. Agriculture is going through a technology renaissance with deep learning leading the way. This volume addresses how advanced AI methods are transforming the future of farming, food systems, and environmental sustainability. It is forward-looking guide to integrating smart systems in agriculture across all scales - from soil to satellite. The volume comprises contributions from international leaders in AI, agronomy, genomics, remote sensing, and robotics. It addresses a broad array of emerging topics, such as autonomous farming systems, UAVs, and deep reinforcement learning for field operations; computer vision and hybrid models for crop, weed, and livestock detection; and advanced edge and federated learning approaches to real-time, privacy-conscious decision-making. It also discusses explainable AI for transparent agricultural models, deep learning in crop genomics and trait prediction, biodiversity monitoring, and time-series forecasting of pests and climate stress. Generative AI for generating synthetic agricultural data and simulating digital farms with AR/VR and digital twins are also covered. With a focus on climate-smart agriculture, the book addresses the role that deep learning can play in promoting resilient, adaptive, and sustainable food systems under climate change and food insecurity globally. It concludes with an examination of the ethical, regulatory, and policy issues, presenting a vision for inclusive, human-centric AI in agriculture.Key Features: Integrates autonomous agriculture, explainable artificial intelligence, edge/federated learning, genomics of crops, and biodiversity monitoring.Highlights climate-resilient agriculture and future-proof simulations.Incorporates real-world applications, case studies, and multidisciplinary viewpoints.Connects AI research, policy, and ethics with agricultural adoption. This book explores how deep learning and advanced AI are revolutionizing agriculture, from autonomous systems and UAVs to computer vision, genomics, and generative AI for synthetic data and digital twins. It emphasizes climate-smart, sustainable farming amid global challenges, while addressing ethics and policy for inclusive AI. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condición: Neu. High Performance Computing - HiPC 2002 | 9th International Conference Bangalore, India, December 18-21, 2002, Proceedings | Sartaj Sahni (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2002 | Springer | EAN 9783540003038 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu Print on Demand.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Keynote Address.- Info-Bio-Nano Interface: High-Performance Computing & Visualization.- Algorithms I.- 2-D Wavelet Transform Enhancement on General- Purpose Microprocessors: Memory Hierarchy and SIMD Parallelism Exploitation.- A General Data Layout for Distributed Consistency in Data Parallel Applications.- A Parallel DFA Minimization Algorithm.- Accelerating the CKY Parsing Using FPGAs.- Duplication-Based Scheduling Algorithm for Interconnection-Constrained Distributed Memory Machines.- Evaluating Arithmetic Expressions Using Tree Contraction: A Fast and Scalable Parallel Implementation for Symmetric Multiprocessors (SMPs).- Architecture I.- Dead-Block Elimination in Cache: A Mechanism to Reduce I-cache Power Consumption in High Performance Microprocessors.- Exploiting Web Document Structure to Improve Storage Management in Proxy Caches.- High Performance Multiprocessor Architecture Design Methodology for Application-Specific Embedded Systems.- LLM: A Low Latency Messaging Infrastructure for Linux Clusters.- Low-Power High-Performance Adaptive Computing Architectures for Multimedia Processing.- Keynote Address.- Field Programmable Systems.- Systems Software I.- CORBA-as-Needed: A Technique to Construct High Performance CORBA Applications.- Automatic Search for Performance Problems in Parallel and Distributed Programs by Using Multi-experiment Analysis.- An Adaptive Value-Based Scheduler and Its RT-Linux Implementation.- Effective Selection of Partition Sizes for Moldable Scheduling of Parallel Jobs.- Runtime Support for Multigrain and Multiparadigm Parallelism.- A Fully Compliant OpenMP Implementation on Software Distributed Shared Memory.- Networks.- A Fast Connection-Time Redirection Mechanism for Internet Application Scalability.- Algorithms for Switch-Scheduling inthe Multimedia Router for LANs.- An Efficient Resource Sharing Scheme for Dependable Real-Time Communication in Multihop Networks.- Improving Web Server Performance by Network Aware Data Bu.ering and Caching.- WRAPS Scheduling and Its Efficient Implementation on Network Processors.- Performance Comparison of Pipelined Hash Joins on Workstation Clusters.- Keynote Address.- Computational Science and Engineering - Past, Present, and Future.- Algorithms II.- Iterative Algorithms on Heterogeneous Network Computing: Parallel Polynomial Root Extracting.- Efficient Tree-Based Multicast in Wormhole-Routed Networks.- Parallel Algorithms for Identification of Basis Polygons in an Image.- Range Image Segmentation on a Cluster.- Detection of Orthogonal Interval Relations.- An Efficient Parallel Algorithm for Computing Bicompatible Elimination Ordering (BCO) of Proper Interval Graphs.- Mobile Computing and Databases.- Router Handoff: An Approach for Preemptive Route Repair in Mobile Ad Hoc Networks.- A 2-D Random Walk Based Mobility Model for Location Tracking.- Data Placement in Intermittently Available Environments.- RT-MuPAC: Multi-power Architecture for Voice Cellular Networks.- Asynchronous Transaction Processing for Updates by Client: With Elimination of Wait-for State.- Active File Systems for Data Mining and Multimedia.- Applications.- Simulating DNA Computing.- Parallel Syntenic Alignments.- XS-systems: eXtended S-Systems and Algebraic Differential Automata for Modeling Cellular Behavior.- A High Performance Scheme for EEG Compression Using a Multichannel Model.- Scalability and Performance of Multi-threaded Algorithms for International Fare Construction on High-Performance Machines.- Systems Software II.- A Resource Brokering Infrastructure for Computational Grids.- OnImproving Thread Migration: Safety and Performance.- Improved Preprocessing Methods for Modulo Scheduling Algorithms.- Dynamic Path Profile Aided Recompilation in a JAVA Just-In-Time Compiler.- Exploiting Data Value Prediction in Compiler Based Thread Formation.- Scientific Computation.- High Performance Computing of Fluid-Structure Inter.

Hardcover. Condición: new. Hardcover. Agriculture is going through a technology renaissance with deep learning leading the way. This volume addresses how advanced AI methods are transforming the future of farming, food systems, and environmental sustainability. It is forward-looking guide to integrating smart systems in agriculture across all scales - from soil to satellite. The volume comprises contributions from international leaders in AI, agronomy, genomics, remote sensing, and robotics. It addresses a broad array of emerging topics, such as autonomous farming systems, UAVs, and deep reinforcement learning for field operations; computer vision and hybrid models for crop, weed, and livestock detection; and advanced edge and federated learning approaches to real-time, privacy-conscious decision-making. It also discusses explainable AI for transparent agricultural models, deep learning in crop genomics and trait prediction, biodiversity monitoring, and time-series forecasting of pests and climate stress. Generative AI for generating synthetic agricultural data and simulating digital farms with AR/VR and digital twins are also covered. With a focus on climate-smart agriculture, the book addresses the role that deep learning can play in promoting resilient, adaptive, and sustainable food systems under climate change and food insecurity globally. It concludes with an examination of the ethical, regulatory, and policy issues, presenting a vision for inclusive, human-centric AI in agriculture.Key Features: Integrates autonomous agriculture, explainable artificial intelligence, edge/federated learning, genomics of crops, and biodiversity monitoring.Highlights climate-resilient agriculture and future-proof simulations.Incorporates real-world applications, case studies, and multidisciplinary viewpoints.Connects AI research, policy, and ethics with agricultural adoption. This book explores how deep learning and advanced AI are revolutionizing agriculture, from autonomous systems and UAVs to computer vision, genomics, and generative AI for synthetic data and digital twins. It emphasizes climate-smart, sustainable farming amid global challenges, while addressing ethics and policy for inclusive AI. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.