Sung-Wha Hong
Biographic Data
| ID | 5774728 |
|---|---|
| NAME | Sung-Wha Hong |
| GIVEN NAMES | Sung-Wha |
| FAMILY NAME | Hong |
| SIGNATURE | HONG S |
| AFFILIATIONS | Korea Institute of Science & Technology Information |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 7 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Automated weak signal detection and prediction using keyword network clustering and graph convolutional network
Weak signals are rarely identified in the initial stage of growth and appear significant over time, unlike strong signals clearly observed in past trends. Weak signals are important cues that need to be analyzed to rapidly and accurately predict changes in the uncertain future. Researchers have developed various methods for identifying cues that can be significantly used for prediction. However, in many cases, they heavily depend on the opinions …
Development of post-evaluation model for future and emerging technology item reflecting environmental changes
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Automated weak signal detection and prediction using keyword network clustering and graph convolutional network
Weak signals are rarely identified in the initial stage of growth and appear significant over time, unlike strong signals clearly observed in past trends. Weak signals are important cues that need to be analyzed to rapidly and accurately predict changes in the uncertain future. Researchers have developed various methods for identifying cues that can be significantly used for prediction. However, in many cases, they heavily depend on the opinions …
Development of post-evaluation model for future and emerging technology item reflecting environmental changes
Nest
Development of post-evaluation model for future and emerging technology item reflecting environmental changes
Automated weak signal detection and prediction using keyword network clustering and graph convolutional network
Weak signals are rarely identified in the initial stage of growth and appear significant over time, unlike strong signals clearly observed in past trends. Weak signals are important cues that need to be analyzed to rapidly and accurately predict changes in the uncertain future. Researchers have developed various methods for identifying cues that can be significantly used for prediction. However, in many cases, they heavily depend on the opinions …
Artificial Intelligence (3 works) · Artificial Intelligence (3 works) · Computer Science (3 works) · Cognitive Science and Mapping (2 works) · Data science (2 works) · Engineering (2 works) · Futures studies (2 works) · Management science (2 works) · Advanced Text Analysis Techniques (1 works) · Bayesian network (1 works)