Ngā hua rapu - data-extensive computing

Applications of Computational Intelligence

Ngā marau: “…computational intelligence…”
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Gouverner par les données ? Pour une sociologie politique du numérique

“…The strength of this book, at the crossroads with economic sociology, law, political science and computer science, is to lay down the foundations for a political sociology of data and the digital age with the aim of surpassing and deconstructing the myths and beliefs conveyed by big data.…”
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Social Manufacturing on Industrial Internet

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Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics

Ngā marau: “…computer vision…”
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Topological Obstructions to Stability and Stabilization mā Jongeneel, Wouter, Moulay, Emmanuel

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Various Deep Learning Algorithms in Computational Intelligence

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Chapter 2 Fundamental Database Concepts

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Chapter 3 Fundamental Spatial Concepts

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Chapter 8 Cartography and Geovisualization

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Safety in the Digital Age

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Chapter 9 Artificial Intelligence and GIS

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GIS

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Chapter 1 Introduction

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Digital Tools in Urban Schools mā Mahiri, Jabari

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High-Priority Information Technology Needs for Law Enforcement mā Hollywood, John S., Boon, John E. Jr., Silberglitt, Richard, Chow, Brian G., Jackson, Brian A.

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Program Earth mā Gabrys, Jennifer

“…Small, flexible, economical, and computationally powerful, they operate ubiquitously in environments. …”
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Industrial Artificial Intelligence Technologies and Applications

“…The authors describe industrial AI's challenges, the approaches adopted, and the main industrial systems and applications to give the reader extensive insight into the technical nature of this field. …”
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The Role of Nanofluids in Renewable Energy Engineering

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Topics in Splines and Applications

“…It focuses on collecting and disseminating information in various disciplines including computer-aided geometric design, computer graphics, data visualization, data fitting, power systems, clinical and epidemiologic studies, disease detection, regression curves, social media, and biological studies. …”
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Bioinformatics in the Era of Post Genomics and Big Data

“…Bioinformatics has evolved significantly in the era of post genomics and big data. Huge advancements were made toward storing, handling, mining, comparing, extracting, clustering and analysis as well as visualization of big macromolecular data using novel computational approaches, machine and deep learning methods, and web-based server tools. …”
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