Zobrazeno 1 - 10
of 126 505
pro vyhledávání: '"Faisal, A"'
Graph Neural Networks Uncover Geometric Neural Representations in Reinforcement-Based Motor Learning
Graph Neural Networks (GNN) can capture the geometric properties of neural representations in EEG data. Here we utilise those to study how reinforcement-based motor learning affects neural activity patterns during motor planning, leveraging the inher
Externí odkaz:
http://arxiv.org/abs/2410.23812
Human Action Recognition (HAR) is an interesting research area in human-computer interaction used to monitor the activities of elderly and disabled individuals affected by physical and mental health. In the recent era, skeleton-based HAR has received
Externí odkaz:
http://arxiv.org/abs/2410.23806
Autor:
Etminan, Faisal
Very recently the Wood-Saxon (WS) type interaction in the single-folding potential approach are constructed to simulate the $ \phi{\text -}\alpha $ potentials. One set of the $ \phi{\text -}\alpha $ potentials are based on the first principle HAL QCD
Externí odkaz:
http://arxiv.org/abs/2410.22756
Recent measurements of the lepton flavor universality ratios $R^{\mu e}_{K}$ and $R^{\mu e}_{K^*}$ in $B\to \left(K, K^*\right)\mu^{+}\mu^{-}\left(e^+e^-\right)$ at LHCb align with the Standard Model predictions, necessitating search for the compleme
Externí odkaz:
http://arxiv.org/abs/2410.20633
Climate change poses critical challenges globally, disproportionately affecting low-income countries that often lack resources and linguistic representation on the international stage. Despite Bangladesh's status as one of the most vulnerable nations
Externí odkaz:
http://arxiv.org/abs/2410.17225
Exploring Possibilities of AI-Powered Legal Assistance in Bangladesh through Large Language Modeling
Purpose: Bangladesh's legal system struggles with major challenges like delays, complexity, high costs, and millions of unresolved cases, which deter many from pursuing legal action due to lack of knowledge or financial constraints. This research see
Externí odkaz:
http://arxiv.org/abs/2410.17210
Traffic forecasting in Intelligent Transportation Systems (ITS) is vital for intelligent traffic prediction. Yet, ITS often relies on data from traffic sensors or vehicle devices, where certain cities might not have all those smart devices or enablin
Externí odkaz:
http://arxiv.org/abs/2410.15589
Autor:
Ahmed, Mustofa, Muntakim, Abdul, Tabassum, Nawrin, Rahim, Mohammad Asifur, Shah, Faisal Muhammad
Depression detection using deep learning models has been widely explored in previous studies, especially due to the large amounts of data available from social media posts. These posts provide valuable information about individuals' mental health con
Externí odkaz:
http://arxiv.org/abs/2410.13709
Autor:
Faisal, Faizan, Yousaf, Umair
We present LEGAL-UQA, the first Urdu legal question-answering dataset derived from Pakistan's constitution. This parallel English-Urdu dataset includes 619 question-answer pairs, each with corresponding legal article contexts, addressing the need for
Externí odkaz:
http://arxiv.org/abs/2410.13013
Autor:
Alam, Faisal, Clark, Bryan K.
Dynamic quantum circuits (DQCs) incorporate mid-circuit measurements and gates conditioned on these measurement outcomes. DQCs can prepare certain long-range entangled states in constant depth, making them a promising route to preparing complex quant
Externí odkaz:
http://arxiv.org/abs/2410.09030