Risultati della ricerca - (( basic differences evolution algorithms ) OR ( basic difference relation algorithms ))

Metrology

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Network-on-Chip di Kundu, Santanu, Chattopadhyay, Santanu

“...This text comprises 12 chapters and covers: The evolution of NoC from SoC—its research and developmental challenges NoC protocols, elaborating flow control, available network topologies, routing mechanisms, fault tolerance, quality-of-service support, and the design of network interfaces The router design strategies followed in NoCs The evaluation mechanism of NoC architectures The application mapping strategies followed in NoCs Low-power design techniques specifically followed in NoCs The signal integrity and reliability issues of NoC The details of NoC testing strategies reported so far The problem of synthesizing application-specific NoCs Reconfigurable NoC design issues Direction of future research and development in the field of NoC Network-on-Chip: The Next Generation of System-on-Chip Integration covers the basic topics, technology, and future trends relevant to NoC-based design, and can be used by engineers, students, and researchers and other industry professionals interested in computer architecture, embedded systems, and parallel/distributed systems....”
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X-Machines for Agent-Based Modeling di Kiran, Mariam

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Inteligencia Artificial Aplicada a Procesamiento de Lenguaje Natural (NLP) con Python y Machine Learning. di Sangacha Tapia, Lady Mariuxi, Celi, Ricardo Javier, Acosta Guzmán, Ivan Leonel, Varela Tapia, Eleanor Alexandra

“...Chapter 1 mentions concepts and the evolution of the different branches of knowledge that encompasses artificial intelligence (AI), the understanding of NLP, machine learning, types of learning to solve problems such as supervised, unsupervised and reinforcement. ...”
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Tensor Network Contractions di Ran, Shi-Ju, Tirrito, Emanuele, Peng, Cheng, Chen, Xi, Tagliacozzo, Luca, Su, Gang, Lewenstein, Maciej

“...To fill this gap, this book explains the fundamental concepts and basic ideas that connect and/or unify different strategies of the tensor network contraction algorithms. ...”
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Advances in Near Infrared Spectroscopy and Related Computational Methods di Bec, Krzysztof B., Huck, Christian

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Entropy Measures for Data Analysis: Theory, Algorithms and Applications di Keller, Karsten

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The Foundation of Precision Medicine: Integration of Electronic Health Records with Nenomics Through Basic, Clinical, and Translational Research di Mariza de Andrade, Helena Kuivaniemi, Marylyn D. Ritchie

“...Chapter 2 describes the results of genetic studies on different diseases for which all the phenotypic information was extracted from the EHR with highly specific ePhenotyping algorithms. ...”
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Individual differences in associative learning di Rachel M. Msetfi, Robin A. Murphy

“...This work involves varying stimulus properties and temporal relations or modeling the differences between groups....”
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Frontiers in Evolutionary Robotics

“...For this purpose, authors in this book explain a variety of real robots in different fields. For instance, in a multi-robot system, several robots simultaneously work to achieve a common goal via interaction; their behaviors can only emerge as a result of evolution and interaction. ...”
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Discrete Event Simulations

“...The range of application of DES spans across many different disciplines and research fields. In research, further development and advancements of the basic DES algorithm continue to be sought while various hybrid methods derived by combining DES with other simulation techniques continue to be developed. ...”
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Process Modeling in Pyrometallurgical Engineering

Soggetti: “...genetic algorithm...”
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Uncertain Multi-Criteria Optimization Problems

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Metalearning di Brazdil, Pavel, van Rijn, Jan N., Soares, Carlos, Vanschoren, Joaquin

“...This book offers a comprehensive and thorough introduction to almost all aspects of metalearning and AutoML, covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield faster and better solutions to data mining and data science problems. ...”
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Research Topics in Medicines and How Our Board Members Are Engaged in Them

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