Aziguli Wulamu
Biographic Data
| ID | 9966360 |
|---|---|
| NAME | Aziguli Wulamu |
| GIVEN NAMES | Aziguli |
| FAMILY NAME | Wulamu |
| SIGNATURE | WULAMU A |
| AFFILIATIONS | University of Science and Technology Beijing |
| ORCID | 0000-0001-7228-7838 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Forecasting blockchain adoption in supply chains based on machine learning: Evidence from Palestinian food SMEs
Purpose This paper seeks to discover whether the technical, organisational and technology acceptance model (TAM) factors will significantly affect the adoption of blockchain technology (ABT) amongst SMEs. Design/methodology/approach The research employs structural equation modelling (SEM) and a machine learning approach to identify factors influencing the ABT behaviour that leaders can use to predict the prospect of the ABT in their enterprises. …
Semantic Relation Model and Dataset for Remote Sensing Scene Understanding
A deep understanding of our visual world is more than an isolated perception on a series of objects, and the relationships between them also contain rich semantic information. Especially for those satellite remote sensing images, the span is so large that the various objects are always of different sizes and complex spatial compositions. Therefore, the recognition of semantic relations is conducive to strengthen the understanding of remote sensin…
No prominent works on this page.
Semantic Relation Model and Dataset for Remote Sensing Scene Understanding
A deep understanding of our visual world is more than an isolated perception on a series of objects, and the relationships between them also contain rich semantic information. Especially for those satellite remote sensing images, the span is so large that the various objects are always of different sizes and complex spatial compositions. Therefore, the recognition of semantic relations is conducive to strengthen the understanding of remote sensin…
Forecasting blockchain adoption in supply chains based on machine learning: Evidence from Palestinian food SMEs
Purpose This paper seeks to discover whether the technical, organisational and technology acceptance model (TAM) factors will significantly affect the adoption of blockchain technology (ABT) amongst SMEs. Design/methodology/approach The research employs structural equation modelling (SEM) and a machine learning approach to identify factors influencing the ABT behaviour that leaders can use to predict the prospect of the ABT in their enterprises. …
Computer Science (2 works) · Advanced Image and Video Retrieval Techniques (1 works) · Affect (linguistics) (1 works) · Artificial Intelligence (1 works) · Blockchain (1 works) · Blockchain Technology Applications and Security (1 works) · Business (1 works) · Creativity (1 works) · Graph (1 works) · Image retrieval (1 works)