Zobrazeno 1 - 10
of 35 137
pro vyhledávání: '"Mir P."'
Autor:
Nayeem, Mir Tafseer, Rafiei, Davood
Recent studies highlight the potential of large language models in creating educational tools for children, yet significant challenges remain in maintaining key child-specific properties such as linguistic nuances, cognitive needs, and safety standar
Externí odkaz:
http://arxiv.org/abs/2410.03884
In today's digitally driven landscape, robust Information Technology (IT) risk assessment practices are essential for safeguarding systems, digital communication, and data. This paper introduces 'AssessITS', an actionable method designed to provide o
Externí odkaz:
http://arxiv.org/abs/2410.01750
Autor:
Venkatesh, Ashwin Prasad Shivarpatna, Sunil, Rose, Sabu, Samkutty, Mir, Amir M., Reis, Sofia, Bodden, Eric
Large Language Models (LLMs) are increasingly being explored for their potential in software engineering, particularly in static analysis tasks. In this study, we investigate the potential of current LLMs to enhance call-graph analysis and type infer
Externí odkaz:
http://arxiv.org/abs/2410.00603
Humans possess innate collaborative capacities. However, effective teamwork often remains challenging. This study delves into the feasibility of collaboration within teams of rational, self-interested agents who engage in teamwork without the obligat
Externí odkaz:
http://arxiv.org/abs/2409.17214
The rapid advancement of drone technology has significantly impacted various sectors, including search and rescue, environmental surveillance, and industrial inspection. Multidrone systems offer notable advantages such as enhanced efficiency, scalabi
Externí odkaz:
http://arxiv.org/abs/2409.01953
Autor:
Mir, Aya El, Luoga, Lukelo Thadei, Chen, Boyuan, Hanif, Muhammad Abdullah, Shafique, Muhammad
Deploying Multi-Modal Large Language Models (MLLMs) in healthcare is hindered by their high computational demands and significant memory requirements, which are particularly challenging for resource-constrained devices like the Nvidia Jetson Xavier.
Externí odkaz:
http://arxiv.org/abs/2409.12184
In this paper, we propose a novel adaptive Control Barrier Function (CBF) based controller for nonlinear systems with complex, time-varying input constraints. Conventional CBF approaches often struggle with feasibility issues and stringent assumption
Externí odkaz:
http://arxiv.org/abs/2408.09534
Autor:
Din, Iqbal Mohi Ud, Mir, Sameer Ahmad, Rather, Nasir Ahmad, Uddin, Saeed, Parra, Rameez Ahmad
This work investigates how the theoretically calculated particle ratios and freeze-out parameters for a multi-component hot and dense non-ideal hadron resonance gas system, formed during the pre freeze-out stage in ultra-relativistic nucleus-nucleus
Externí odkaz:
http://arxiv.org/abs/2408.07943
In this work, we characterise a general set of quantum operations which possess a singular fixed point. These channels are dubbed as quantum ergodic channels. We have constructed Lindblad-type master equations for such channels for arbitrary dimensio
Externí odkaz:
http://arxiv.org/abs/2408.04993
In the present work, we analyze several strange as well as non-strange relative hadronic yields obtained in the ultra-relativistic heavy-ion collisions (URHIC) experiments over a wide range of centre-of-mass collision energy ($\sqrt{s_{NN}}$). We inv
Externí odkaz:
http://arxiv.org/abs/2406.11752