A Preliminary Taxonomy for Machine Learning in VLSI CAD

Boning, Duane S.; Elfadel, Ibrahim M.; Li, Xin

doi:10.1007/978-3-030-04666-8_1

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…The objective of this section is to present the intelligent data analysis methods that were used by the researchers in the domain of smart sport training. Following the recent practice of intelligent method taxonomies proposals on other highly domain specific fields, such as intrusion detection [12], very large-scale integrated circuits and systems [13], program binaries [14], diabetes management [15], the same practice, and establishment of a novel taxonomy of intelligent methods is proposed in the domain of SST. The proposed taxonomy is based on the methods identified and currently used in the domain and may be extended as the domain grows and matures in the future.…”

Section: Intelligent Data Methods Used In Studiesmentioning

confidence: 99%

A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training

Rajšp

Fister

2020

Applied Sciences

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The rapid transformation of our communities and our way of life due to modern technologies has impacted sports as well. Artificial intelligence, computational intelligence, data mining, the Internet of Things (IoT), and machine learning have had a profound effect on the way we do things. These technologies have brought changes to the way we watch, play, compete, and also train sports. What was once simply training is now a combination of smart IoT sensors, cameras, algorithms, and systems just to achieve a new peak: The optimum one. This paper provides a systematic literature review of smart sport training, presenting 109 identified studies. Intelligent data analysis methods are presented, which are currently used in the field of Smart Sport Training (SST). Sport domains in which SST is already used are presented, and phases of training are identified, together with the maturity of SST methods. Finally, future directions of research are proposed in the emerging field of SST.

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Section: Intelligent Data Methods Used In Studiesmentioning

confidence: 99%

A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training

Rajšp

Fister

2020

Applied Sciences

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Machine Learning in Computer Aided Engineering

Montáns,

Cueto,

Bathe

2023

Computational Methods in Engineering &Amp; The Sciences

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The extraordinary success of Machine Learning (ML) in many complex heuristic fields has promoted its introduction in more analytical engineering fields, improving or substituting many established approaches in Computer Aided Engineering (CAE), and also solving long-standing problems. In this chapter, we first review the ideas behind the most used ML approaches in CAE, and then discuss a variety of different applications which have been traditionally addressed using classical approaches and that now are increasingly the focus of ML methods.

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WITHDRAWN: Real-Time Monitoring Of Big Data Sports Teaching Data Based On Complex Embedded System

Xie

2022

Microprocessors and Microsystems

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A Preliminary Taxonomy for Machine Learning in VLSI CAD

Cited by 3 publications

References 10 publications

A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training

A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training

Machine Learning in Computer Aided Engineering

WITHDRAWN: Real-Time Monitoring Of Big Data Sports Teaching Data Based On Complex Embedded System

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