Zobrazeno 1 - 10
of 15 641
pro vyhledávání: '"A. P. Munir"'
Autor:
Baig, Mirza Samad Ahmed, Gillani, Syeda Anshrah, Shah, Shahid Munir, Aljawarneh, Mahmoud, Khan, Abdul Akbar, Siddiqui, Muhammad Hamzah
Visual impairment affects the ability of people to live a life like normal people. Such people face challenges in performing activities of daily living, such as reading, writing, traveling and participating in social gatherings. Many traditional appr
Externí odkaz:
http://arxiv.org/abs/2412.20059
We investigate the phenomenology of scalar diquarks with sub-TeV masses within the framework of the $E_6$ Supersymmetric Standard Model (E$_6$SSM) at the Large Hadron Collider (LHC). Focusing on the lightest of the six diquarks predicted by the model
Externí odkaz:
http://arxiv.org/abs/2412.19445
Autor:
Soni, Sagar, Dudhane, Akshay, Debary, Hiyam, Fiaz, Mustansar, Munir, Muhammad Akhtar, Danish, Muhammad Sohail, Fraccaro, Paolo, Watson, Campbell D, Klein, Levente J, Khan, Fahad Shahbaz, Khan, Salman
Automated analysis of vast Earth observation data via interactive Vision-Language Models (VLMs) can unlock new opportunities for environmental monitoring, disaster response, and resource management. Existing generic VLMs do not perform well on Remote
Externí odkaz:
http://arxiv.org/abs/2412.15190
Autor:
Latif, Imran, Newkirk, Alex C., Carbone, Matthew R., Munir, Arslan, Lin, Yuewei, Koomey, Jonathan, Yu, Xi, Dong, Zhiuha
The expansion of artificial intelligence (AI) applications has driven substantial investment in computational infrastructure, especially by cloud computing providers. Quantifying the energy footprint of this infrastructure requires models parameteriz
Externí odkaz:
http://arxiv.org/abs/2412.08602
Autor:
Danish, Muhammad Sohail, Munir, Muhammad Akhtar, Shah, Syed Roshaan Ali, Kuckreja, Kartik, Khan, Fahad Shahbaz, Fraccaro, Paolo, Lacoste, Alexandre, Khan, Salman
While numerous recent benchmarks focus on evaluating generic Vision-Language Models (VLMs), they fall short in addressing the unique demands of geospatial applications. Generic VLM benchmarks are not designed to handle the complexities of geospatial
Externí odkaz:
http://arxiv.org/abs/2411.19325
COVID-19 is extremely contagious and its rapid growth has drawn attention towards its early diagnosis. Early diagnosis of COVID-19 enables healthcare professionals and government authorities to break the chain of transition and flatten the epidemic c
Externí odkaz:
http://arxiv.org/abs/2411.06397
Autor:
Ismail, Muhammad, Abbas, Farkhanda, Shah, Shahid Munir, Aljawarneh, Mahmoud, Dhomeja, Lachhman Das, Abbas, Fazila, Shoaib, Muhammad, Alrefaei, Abdulwahed Fahad, Albeshr, Mohammed Fahad
Environmental monitoring and predictive modeling of the Water Quality Index (WQI) through the assessment of the water quality.
Comment: 18 pages
Comment: 18 pages
Externí odkaz:
http://arxiv.org/abs/2411.01527
Language models (LMs) are widely used by an increasing number of users, underscoring the challenge of maintaining factuality across a broad range of topics. We first present VERIFY (Verification and Evidence RetrIeval for FactualitY evaluation), a pi
Externí odkaz:
http://arxiv.org/abs/2410.22257
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
Many existing interpretation methods are based on Partial Dependence (PD) functions that, for a pre-trained machine learning model, capture how a subset of the features affects the predictions by averaging over the remaining features. Notable methods
Externí odkaz:
http://arxiv.org/abs/2410.13448