A5113392218- Advanced Graph Neural Networks
- Speech and dialogue systems
- Data Management and Algorithms
- Artificial Intelligence in Healthcare
- Data Mining Algorithms and Applications
- Data Quality and Management
- Brain Tumor Detection and Classification
- Natural Language Processing Techniques
- Electronic Health Records Systems
- Rangeland Management and Livestock Ecology
- Animal Diversity and Health Studies
- Livestock Management and Performance Improvement
- Topic Modeling
- Online Learning and Analytics
Saudi Arabian Monetary Authority
2023-2024
Virginia Tech
2024
This study analyzes livestock breeders' attitudes and experiences with compound feed in Saudi Arabia.A total of 108.901 breeders were selected from the Ministry Environment, Water Agriculture roll, by using random sampling.Over 442 participated, mostly male approximately 58.9% an average age 39 around 9 years education.The main occupation was (83.0 %).Sheep goats common (82% 63%), Badia system (59.5 %).The purpose raising commercial uses (62.4 %).but traditional feeding (Roughages barley)...
The importance of the study lies in fact that feed has a direct impact on animal and human health.The failure breeders to use healthy suitable fodder for meets nutritional needs is due several reasons, including culture education breeder, some reasons related itself, such as being lower quality does not meet animal's productive needs.The main objective identify feeding practices followed by livestock breeders, assess their attitudes towards compound feed, determine relationship between...
The rapid spread of misinformation on social media, especially during crises, challenges public decision-making. To address this, we propose HierTKG, a framework combining Temporal Graph Networks (TGN) and hierarchical pooling (DiffPool) to model rumor dynamics across temporal structural scales. HierTKG captures key propagation phases, enabling improved link prediction actionable insights for control. Experiments demonstrate its effectiveness, achieving an MRR 0.9845 ICEWS14 0.9312 WikiData,...