Kung‐Jeng Wang
Biographic Data
| ID | 6582308 |
|---|---|
| NAME | Kung‐Jeng Wang |
| GIVEN NAMES | Kung‐Jeng |
| FAMILY NAME | Wang |
| SIGNATURE | WANG K J |
| AFFILIATIONS | National Taiwan University of Science and Technology |
| ORCID | 0000-0002-5404-5023 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Technology Acceptance Model for Lawyer Robots with AI
How Is the Lung Cancer Incidence Rate Associated with Environmental Risks? Machine-Learning-Based Modeling and Benchmarking
The lung cancer threat has become a critical issue for public health. Research has been devoted to its clinical study but only a few studies have addressed the issue from a holistic perspective that included social, economic, and environmental dimensions. Therefore, in this study, risk factors or features, such as air pollution, tobacco use, socioeconomic status, employment status, marital status, and environment, were comprehensively considered …
Stroke to Dementia Associated with Environmental Risks—A Semi-Markov Model
Experiments showed that the proposed semi-Markovian model outperformed other benchmark diagnosis algorithms (i.e., linear regression, decision tree, random forest, and support vector machine), with a high R 2 of 90%. The proposed model also facilitated an accurate prognosis on the transition time of stroke from chronic diseases to dementias against environmental risks and rehabilitation factors
Strategic development trend and key factors analysis of Airport City in Taiwan
Strategic development trend and key factors analysis of Airport City in Taiwan
Stroke to Dementia Associated with Environmental Risks—A Semi-Markov Model
Experiments showed that the proposed semi-Markovian model outperformed other benchmark diagnosis algorithms (i.e., linear regression, decision tree, random forest, and support vector machine), with a high R 2 of 90%. The proposed model also facilitated an accurate prognosis on the transition time of stroke from chronic diseases to dementias against environmental risks and rehabilitation factors
Technology Acceptance Model for Lawyer Robots with AI
How Is the Lung Cancer Incidence Rate Associated with Environmental Risks? Machine-Learning-Based Modeling and Benchmarking
The lung cancer threat has become a critical issue for public health. Research has been devoted to its clinical study but only a few studies have addressed the issue from a holistic perspective that included social, economic, and environmental dimensions. Therefore, in this study, risk factors or features, such as air pollution, tobacco use, socioeconomic status, employment status, marital status, and environment, were comprehensively considered …
Computer Science (3 works) · Engineering (3 works) · Artificial Intelligence (2 works) · Mathematics (2 works) · Statistics (2 works) · Acute Ischemic Stroke Management (1 work) · Air Quality and Health Impacts (1 work) · Air Quality Monitoring and Forecasting (1 work) · Air Traffic Management and Optimization (1 work) · Aviation Industry Analysis and Trends (1 work)