Multi-sensor-based human activity recognition (HAR) has attracted considerable attention in recent years. Despite significant advancements achieved through deep learning, extracting refined and subtle features from multiple sensors placed on different parts of the body remains a challenge. Accurate sensor modality at...
Jiang-Tao Fan, Anish Jindal, Amir Atapour-Abarghouei· Scientific Reports· 0 citations
This paper presents a framework that integrates input-to-state string stability (ISSS) theory with reinforcement learning to achieve stable, scalable, and adaptive swarm coordination. First, a virtual string perception decomposes $N$-agent interactions into parallel robot-following subtasks by synthesizing local virtua...
Yu-Chen Wei, Wenke E, Yu-Hsiang Su et al.· 2026 IEEE 22nd International...· 0 citations
Neurodegenerative disorders, including Alzheimer's disease, Parkinson's disease, and multiple sclerosis, encompass a wide range of chronic conditions with irreversible damage to the central nervous system. Current diagnostic workups of these disorders rely on invasive, time-consuming, and costly tests, such as magnetic...
Ali Aghababaei, Masoud Etemadifar, Amir Atapour-Abarghouei et al.· Annual Review of Vision Scie...· 0 citations
A Hyper Spatial-Temporal Graph (HSTG), which decomposes global spatial-temporal reasoning into local spatial-temporal receptive fields around individual joint-time nodes by extending per-frame skeleton graphs into temporal neighbourhoods, thereby enabling structure-aware coupled reasoning while preserving local structu...
Ruochen Li, Shuang Chen, E. Wenke et al.· 0 citations
Large language models (LLMs) are increasingly used for model-to-code generation, but they weaken one of the central properties of model-driven engineering: traceability between design models and generated implementation artefacts. Existing approaches either rely on deterministic transformations, where trace links can b...
Marc North, Nelly Bencomo, Amir Atapour-Abarghouei· Proceedings of the ACM/IEEE...· 0 citations
Sarse Multi-Stage Expert-Agent Routing is proposed, a language-based clinical reasoning framework that models diagnosis as a stage-wise routing process and adaptively activates a sparse set of medical expert agents, supported by expert-specific memory across stages.
Sike Xiang, Shuang Chen, Qianpeng Sun et al.· 1 citation
Overall, legal information processing benefits from different inductive biases across tasks, with cross-architecture ensembling, feature-based reranking and retrieval-augmented prompting each proving most effective in different settings.
Amal Saad Alshehri, N. Bencomo, Amir Atapour-Abarghouei· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
