Advances in Machine Learning/Deep Learning-based Technologies

Name: Advances in Machine Learning/Deep Learning-based Technologies
Brand: Springer Nature Switzerland AG
SKU: 9783030767969
Price: 65265 HUF
Availability: InStock

Selected Papers in Honour of Professor Nikolaos G. Bourbakis - Vol. 2

Szerző: George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer Nature Switzerland AG

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

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As the 4th Industrial Revolution is restructuring human societal organization into, so-called, "Soci...

Információk a könyvről

Szerző

George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2022

oldal

224

EAN

9783030767969

Enbook ID

39461287

Kiadó

Springer Nature Switzerland AG

Súly

385

Méretek

155 x 235 x 14

Teljes leírás

As the 4th Industrial Revolution is restructuring human societal organization into, so-called, "Society 5.0", the field of Machine Learning (and its sub-field of Deep Learning) and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Machine Learning/Deep Learning components, they become better and more efficient at performing specific tasks. Consequently, Machine Learning/Deep Learning stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Machine Learning/Deep Learning-based Technologies. The book consists of an editorial note and an additional ten (10) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into five parts, namely (i) Machine Learning/Deep Learning in Socializing and Entertainment, (ii) Machine Learning/Deep Learning in Education, (iii) Machine Learning/Deep Learning in Security, (iv) Machine Learning/Deep Learning in Time Series Forecasting, and (v) Machine Learning in Video Coding and Information Extraction . This research book is directed towards professors, researchers, scientists, engineers and students in Machine Learning/Deep Learning-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Machine Learning/Deep Learning-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.

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Advances in Machine Learning/Deep Learning-based Technologies

Selected Papers in Honour of Professor Nikolaos G. Bourbakis - Vol. 2

Információk a könyvről

Teljes leírás

Érdekelheti

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták