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Data Prefetching Techniques in Computer Systems, Volume 125 provides an in-depth review of the latest progress on data prefetching research;
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prefetching, branch prediction and predication, and multi-path execution. It then examines dataflow speculation techniques including data cache;
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policies built into modern cache hierarchies to move instructions and data across cache levels. As such, processors often spend much time idling;
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policies built into modern cache hierarchies to move instructions and data across cache levels. As such, processors often spend much time idling;
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Support and Control Systems; Computer Vision Techniques; Advanced Data Mining Techniques and Applications; Multiple Model Approach to Machine;
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, Hardware, Computer Systems Organization, Software, Data, Theory of Computation, Mathematics of Computing, Information Systems, Computing;
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of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design;
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; Decision Support and Control Systems; Machine Learning and Data Mining; Computer Vision Techniques; Advanced Data Mining Techniques and;
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vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions;
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Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning;
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; Decision Support and Control Systems; Machine Learning and Data Mining; Computer Vision Techniques; Advanced Data Mining Techniques and;
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. Practitioners, researchers, and students in engineering and computer science will find Implementation Techniques a comprehensive and powerful reference;
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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply;
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The goal of Computer Algebra: Concepts and Techniques is to demystify computer algebra systems for a wide audience including students;
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The goal of Computer Algebra: Concepts and Techniques is to demystify computer algebra systems for a wide audience including students;
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Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and;
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to: systems analysis; programming techniques and concepts; data processing; mathematical analysis; and other related areas.;
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of data collected from past experience or experimentation. This book describes statistical techniques used for the assessment of reliability;
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of data collected from past experience or experimentation. This book describes statistical techniques used for the assessment of reliability;
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correspondence estimation techniques are now successfully being used to solve a wide range of computer vision problems, very different from the;
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software engineering; intelligent information systems; decision support and control systems; machine learning and data mining; computer vision;
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software engineering; intelligent information systems; decision support and control systems; machine learning and data mining; computer vision;
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techniques; computational imaging and vision; advanced data mining techniques and applications; intelligent and contextual systems; commonsense;
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systems; computer vision techniques; and databases and intelligent information systems. The papers of the second volume are divided into these;
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systems; computer vision techniques; and databases and intelligent information systems. The papers of the second volume are divided into these;
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: Knowledge Engineering and Semantic Web, Natural Language Processing, Decision Support and Control Systems, Computer Vision Techniques, Machine;
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: Knowledge Engineering and Semantic Web, Natural Language Processing, Decision Support and Control Systems, Computer Vision Techniques, Machine;
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