Zobrazeno 1 - 10
of 19 217
pro vyhledávání: '"Faizan ."'
The rapid adoption of e-commerce has transformed how students access goods and resources. However, existing platforms often fail to address the specific needs of campus communities, where students face challenges such as financial constraints, lack o
Externí odkaz:
http://arxiv.org/abs/2411.11527
Autor:
Faisal, Faizan, Khalid, Zubair
This paper explores a GIS-based application of the conditional p-median problem (where p = 1) in last-mile delivery logistics. The rapid growth of e-commerce in Pakistan has primarily benefited logistics companies, which face the challenge of resolvi
Externí odkaz:
http://arxiv.org/abs/2411.05851
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
The onset of old age brings physiological and mental changes, with anxiety and depression being common mental disorders that can trigger other health issues and reduce lifespan. However, due to a global shortage of mental health professionals, combin
Externí odkaz:
http://arxiv.org/abs/2410.02552
Autor:
Faizan, Muhammad, Faryad, Muhammad
We found the quasi inverse of qubit channels as a unitary map, $\mathcal{E}^i$, by minimizing the average trace distance between the input state to the channel and the output of the quasi inverse channel for arbitrary qubit channel $\mathcal{E}$ and
Externí odkaz:
http://arxiv.org/abs/2410.02414
Publikováno v:
IEEE High Performance Extreme Computing Conference, Waltham, MA, September 2024
A matrix of analytic functions A(z), such as the matrix of transfer functions in a multiple-input multiple-output (MIMO) system, generally admits an analytic singular value decomposition (SVD), where the singular values themselves are functions. When
Externí odkaz:
http://arxiv.org/abs/2409.20268
We present a new approach to bootstrapping string-like theories by exploiting a local crossing symmetric dispersion relation and field redefinition ambiguities. This approach enables us to use mass-level truncation and to go beyond the dual resonance
Externí odkaz:
http://arxiv.org/abs/2409.18259
Recent breakthroughs in Large Language Models (LLMs) have led to their adoption across a wide range of tasks, ranging from code generation to machine translation and sentiment analysis, etc. Red teaming/Safety alignment efforts show that fine-tuning
Externí odkaz:
http://arxiv.org/abs/2409.15361
Predicting and reasoning how a video would make a human feel is crucial for developing socially intelligent systems. Although Multimodal Large Language Models (MLLMs) have shown impressive video understanding capabilities, they tend to focus more on
Externí odkaz:
http://arxiv.org/abs/2409.00304