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- Bauhaus-Universität WeimarDE26 papers
- Institute of Materials ScienceVN17 papers
- Vietnam Academy of Science and TechnologyVN17 papers
- Duy Tan UniversityVN16 papers
- Leibniz University HannoverDE16 papers
- Tongji UniversityCN15 papers
- Viện Vật lýVN14 papers
- Ho Chi Minh City University of EducationVN13 papers
- Ho Chi Minh City University of ScienceVN12 papers
- Obuda UniversityHU11 papers
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- Pulkovo ObservatoryRU9 papers
10 papers · 1 filter
AMHRP: Adaptive Multi-Hop Routing Protocol to Improve Network Lifetime for Multi-Hop Wireless Body Area Network
Muhammad Mateen Yaqoob, Kulsoom Fatima, Shahab Shamshirband +2
This paper presents a protocol for enhancement of life time of WBAN network as well other protocol related issues such as throughput, path loss, and residual energy. Bio-sensors ar…
SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender Systems
Tan Loc Nguyen, Tin T. Tran
Recommender systems play a crucial role in enabling personalized content delivery amidst the challenges of information overload and human mobility. Although conventional methods of…
Combining social relations and interaction data in Recommender System with Graph Convolution Collaborative Filtering
Tin T. Tran, Vaclav Snasel, Loc Tan Nguyen
A recommender system is an important subject in the field of data mining, where the item rating information from users is exploited and processed to make suitable recommendations w…
Competition between heating and cooling effects in an optomechanical oscillator using a squeezed field
Vinh N. T. Pham, Chu Manh Hoang, Nguyen Duy Vy
Squeezed light is a useful phenomenon that can be exploited to improve the sensitivity of specific classes of detectors based on optomechanical effects. Recently, there has been si…
Perturbations and Phase Transitions in Swarm Optimization Algorithms
Tomáš Vantuch, Ivan Zelinka, Andrew Adamatzky +1
Natural systems often exhibit chaotic behavior in their space-time evolution. Systems transiting between chaos and order manifest a potential to compute, as shown with cellular aut…
CombiGCN: An effective GCN model for Recommender System
Loc Tan Nguyen, Tin T. Tran
Graph Neural Networks (GNNs) have opened up a potential line of research for collaborative filtering (CF). The key power of GNNs is based on injecting collaborative signal into use…