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Machine Learning Approaches for Urban Computing

details multiple types of data generating from urban activities and suitability of various machine learning algorithms for handling urban data;

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Thinking Machines

, explaining how to design through ASIC and FPGA approaches for target machine learning models Surveys current trends and models;

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Urban Computing

paradigms of urban sensing in sensor-centric and human-centric categories; introduces data management for spatial and spatio-temporal data, from;

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Machine Learning for Biometrics

Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine learning;

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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth;

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Recent Studies on Computational Intelligence

Computational Intelligence (DoSCI 2020). The book includes works in the areas of artificial intelligence, deep learning, evolutionary algorithms, swarm;

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Understanding Machine Learning

Machine learning is a branch of computer science concerned with the application of statistical techniques to improve performance;

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Artificial Intelligence and Machine Learning for EDGE Computing

Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and;

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Deep Learning in Visual Computing

This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine;

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Deep Learning in Visual Computing

This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine;

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Quantum Machine Learning with Python

large scale Quantum computers and applying its various techniques Who This Book Is For Machine Learning enthusiasts and engineers who;

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Genetic and Evolutionary Computing

in Qingdao, China, from 1st to 3rd, November 2019. Since it was established, in 2006, the ICGEC conference series has been devoted to new approaches;

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Computer Supported Cooperative Work and Social Computing

, algorithms, and systems, social computing, data analysis and machine learning for CSCW and social computing.;

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Smart Computational Intelligence in Biomedical and Health Informatics

in designing of biomedical equipment. Promotes machine learning based approaches to improvements in biomedical engineering problems.;

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Machine Intelligence and Soft Computing

computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing;

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Hands-On GPU Computing with Python

Explore GPU-enabled programmable environment for machine learning, scientific applications, and gaming using PuCUDA, PyOpenGL, and Anaconda;

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Advances on Smart and Soft Computing

, big data analytics, smart computing, smart cities, Internet of things (IoT), data communication, cloud computing, machine learning algorithms;

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Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities

This volume offers a wealth of interdisciplinary approaches to artificial intelligence, machine learning and optimization tools, which;

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Advances in Machine Learning and Computational Intelligence

This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence;

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Cyber Security Cryptography and Machine Learning

This book constitutes the proceedings of the first International Symposium on Cyber Security Cryptography and Machine Learning, held;

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Advances in Distributed Computing and Machine Learning

This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the;

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Quantum Machine Learning

of research. Quantum Machine Learning sets the scene for a deeper understanding of the subject for readers of different backgrounds. The author;

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Machine Learning Technologies and Applications

This book comprises the best deliberations with the theme Machine Learning Technologies and Applications in the International Conference;

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Intelligent and Cloud Computing

and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and;

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Intelligent and Cloud Computing

and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and;

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Distributed Computing and Artificial Intelligence, Special Sessions II, 15th International Conference

discussed, while improved methods and wholly new methods for using deep learning technologies are also presented. The topics covered are;

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Internet of Energy for Smart Cities

) network. The focus of this book is on using the machine learning approaches to present various solutions for IoE network in smart cities to solve;

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