nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A combined forecasting method for intermittent demand using the automotive aftermarket data
|
Zhuang, Xiaotian |
|
|
|
2 |
p. 43-56 |
artikel |
2 |
A trajectory data warehouse solution for workforce management decision-making
|
Garani, Georgia |
|
|
|
2 |
p. 88-97 |
artikel |
3 |
Challenges, opportunities, and advances related to COVID-19 classification based on deep learning
|
Agnihotri, Abhishek |
|
|
|
2 |
p. 98-109 |
artikel |
4 |
Cross-border issues and technology and management solutions during COVID-19
|
Lee, Jae Kyu |
|
|
|
2 |
p. 76-78 |
artikel |
5 |
Effect of data resampling on feature importance in imbalanced blockchain data: comparison studies of resampling techniques
|
Alarab, Ismail |
|
|
|
2 |
p. 66-76 |
artikel |
6 |
Feature extraction of search product based on multi-feature fusion-oriented to Chinese online reviews
|
Huang, Xunjiang |
|
|
|
2 |
p. 57-65 |
artikel |
7 |
Hotspots and trends of environmental, social and governance (ESG) research: a bibliometric analysis
|
Wan, Guochao |
|
|
|
2 |
p. 65-75 |
artikel |
8 |
Network science approach for identifying disruptive elements of an airline
|
Chauhan, Vinod Kumar |
|
|
|
2 |
p. 110-121 |
artikel |
9 |
New developments in wind energy forecasting with artificial intelligence and big data: a scientometric insight
|
Zhao, Erlong |
|
|
|
2 |
p. 84-95 |
artikel |
10 |
Research on value co-creation elements in full-scene intelligent service
|
Wang, Weina |
|
|
|
2 |
p. 77-83 |
artikel |
11 |
Time series clustering of COVID-19 pandemic-related data
|
Luo, Zhixue |
|
|
|
2 |
p. 79-87 |
artikel |