output
20102026
most citedAn Energy Approach to the Solution of Partial Differential Equations in Computational Mechanics via Machine Learning: Concepts, Implementation and Applications

2.1k citations

198 papers

math-ph2026★ 1 cited

Local Density Approximation and Other Limit Regimes for a Homogeneous Bose Gas with Repulsive Three-Body Interactions in Low-Dimensional Space

Thi Anh Thu Doan, Dinh-Thi Nguyen

In the whole space of low spatial dimensions, namely , we study the minimizers of an energy functional with an attractive cubic nonlinearity and a repulsive quintic nonli…

cs.SE2026

Enhancing Fuzz Testing Efficiency through Automated Fuzz Target Generation

Chi Thien Tran

Fuzzing continues to be the most effective method for identifying security vulnerabilities in software. In the context of fuzz testing, the fuzzer supplies varied inputs to fuzz ta…

hep-ph2026

Physical implications of a double right-handed gauge symmetry

Duong Van Loi, A. E. Cárcamo Hernández, N. T. Duy +2

Guided by the flipping principle, we propose a novel extension of the Standard Model based on a double right-handed gauge symmetry. In this framework, all left-handed fermio…

cs.NI2025★ 5 cited

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…

cs.IR2025★ 2 cited

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…

cs.IR2025★ 18 cited

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…