The potential of machine learning in computer aided geometric design / Siti Sarah Raseli and Assoc. Prof. Dr Ahmad Lutfi Amri Ramli

Raseli, Siti Sarah and Ramli, Ahmad Lutfi Amri (2023) The potential of machine learning in computer aided geometric design / Siti Sarah Raseli and Assoc. Prof. Dr Ahmad Lutfi Amri Ramli. RISE: Catalysing Global Research Excellence (3): 26. pp. 1-4. ISSN 2805-5883

Abstract

Artificial Intelligence (AI) is a leading technology that is capable of simulating human intelligence and decision making (Song et al., 2022). Artificial intelligence is an advanced technology that is widely applied in various fields such as mathematics, statistics, and computer science across a wide range of industries. Machine learning is a part of AI that enables the extraction of information from data to improve its ability by studying from experience (Bertolini et.al, 2021). Machine learning is the development of computational algorithms that aim to imitate human intelligence through environmental education (El Naqa & Murphy, 2015). Machine learning is a generally accepted application that can be applied in various studies. The techniques proposed from machine learning are widely used to solve problems that arise in many fields and industries. In addition, machine learning applications can improve efficiency, accuracy and increase performance and productivity.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Raseli, Siti Sarah
sitisarahraseli@uitm.edu.my
Ramli, Ahmad Lutfi Amri
UNSPECIFIED
Subjects: Q Science > Q Science (General) > Machine learning
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science
Divisions: Universiti Teknologi MARA, Shah Alam > Vice Chancellor Office > Pejabat Timbalan Naib Canselor (Penyelidikan & Inovasi)
Journal or Publication Title: RISE: Catalysing Global Research Excellence
ISSN: 2805-5883
Number: 3
Page Range: pp. 1-4
Keywords: Machine learning, computer aided, AI
Date: November 2023
URI: https://ir.uitm.edu.my/id/eprint/87534
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