Zobrazeno 1 - 10
of 125 969
pro vyhledávání: '"A Faisal"'
Editing a graph to obtain a disjoint union of s-clubs is one of the models for correlation clustering, which seeks a partition of the vertex set of a graph so that elements of each resulting set are close enough according to some given criterion. For
Externí odkaz:
http://arxiv.org/abs/2411.04846
Publikováno v:
Phys. Scr. 99(2024)125004
This paper explores static wormhole solutions in f(Q,T) theory, where Q is the non-metricity and T is the trace of energy-momentum tensor. We derive the field equations that describe gravitational phenomena in the existence of non-metricity and matte
Externí odkaz:
http://arxiv.org/abs/2411.03642
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