Nasrul Anuar Abd Razak
Biographic Data
| ID | 7889092 |
|---|---|
| NAME | Nasrul Anuar Abd Razak |
| GIVEN NAMES | Nasrul Anuar Abd |
| FAMILY NAME | Razak |
| SIGNATURE | RAZAK N A A |
| AFFILIATIONS | University of Malaya |
| ORCID | 0000-0002-1911-015X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Children’s Physiological and Perceptual Responses to Sports Exergames When Played in Different Positions
Today's children are prone to becoming involved in exergames, but their positions during play have not been sufficiently investigated to determine whether the positions they adopt result in equal responses. The design of this study involved the collection of physiological and perceptual responses (i.e., heart rate (HR), rating of perceived exertion, and enjoyment score) during exergames in three different sports (bowling, tennis, and boxing) with…
Predicting occupational injury causal factors using text-based analytics
Workplace accidents can cause a catastrophic loss to the company including human injuries and fatalities. Occupational injury reports may provide a detailed description of how the incidents occurred. Thus, the narrative is a useful information to extract, classify and analyze occupational injury. This study provides a systematic review of text mining and Natural Language Processing (NLP) applications to extract text narratives from occupational i…
Occupational Injury Risk Mitigation
Forecasting the severity of occupational injuries shall be all industries' top priority. The use of machine learning is theoretically valuable to assist the predictive analysis, thus, this study attempts to propose a feature-optimized predictive model for anticipating occupational injury severity. A public database of 66,405 occupational injury records from OSHA is analyzed using five sets of machine learning models: Support Vector Machine, K-Nea…
No prominent works on this page.
Predicting occupational injury causal factors using text-based analytics
Workplace accidents can cause a catastrophic loss to the company including human injuries and fatalities. Occupational injury reports may provide a detailed description of how the incidents occurred. Thus, the narrative is a useful information to extract, classify and analyze occupational injury. This study provides a systematic review of text mining and Natural Language Processing (NLP) applications to extract text narratives from occupational i…
Occupational Injury Risk Mitigation
Forecasting the severity of occupational injuries shall be all industries' top priority. The use of machine learning is theoretically valuable to assist the predictive analysis, thus, this study attempts to propose a feature-optimized predictive model for anticipating occupational injury severity. A public database of 66,405 occupational injury records from OSHA is analyzed using five sets of machine learning models: Support Vector Machine, K-Nea…
Children’s Physiological and Perceptual Responses to Sports Exergames When Played in Different Positions
Today's children are prone to becoming involved in exergames, but their positions during play have not been sufficiently investigated to determine whether the positions they adopt result in equal responses. The design of this study involved the collection of physiological and perceptual responses (i.e., heart rate (HR), rating of perceived exertion, and enjoyment score) during exergames in three different sports (bowling, tennis, and boxing) with…
Artificial Intelligence (1 work) · Bayes' theorem (1 work) · Bayesian probability (1 work) · Children's Physical and Motor Development (1 work) · Cognitive psychology (1 work) · Computer Science (1 work) · Decision tree (1 work) · Deep learning (1 work) · Ensemble learning (1 work) · Feature (linguistics (1 work)