Zobrazeno 1 - 10
of 4 595
pro vyhledávání: '"Suleman, P."'
Autor:
Hamdani, Muhammad Suleman Ali, Zakir, Khizer, Kushwaha, Neetu, Fatima, Syeda Eman, Sheikh, Hassan Aftab
Brick kilns are a major source of air pollution in Pakistan, with many operating without regulation. A key challenge in Pakistan and across the Indo-Gangetic Plain is the limited air quality monitoring and lack of transparent data on pollution source
Externí odkaz:
http://arxiv.org/abs/2412.00052
Deep learning has been proven to be a powerful tool for addressing the most significant issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource allocation, and security attacks. The utilization of deep learning techni
Externí odkaz:
http://arxiv.org/abs/2410.23949
In order to address the nonlinear multi-agent formation tracking control problem with input constraints and unknown communication faults, a novel adaptive distributed observer-based distributed model predictive control method is developed in this pap
Externí odkaz:
http://arxiv.org/abs/2410.23592
Traditional Retrieval-Augmented Generation (RAG) benchmarks rely on different heuristic-based metrics for evaluation, but these require human preferences as ground truth for reference. In contrast, arena-based benchmarks, where two models compete eac
Externí odkaz:
http://arxiv.org/abs/2410.13716
Autor:
Bao, Forrest Sheng, Li, Miaoran, Qu, Renyi, Luo, Ge, Wan, Erana, Tang, Yujia, Fan, Weisi, Tamber, Manveer Singh, Kazi, Suleman, Sourabh, Vivek, Qi, Mike, Tu, Ruixuan, Xu, Chenyu, Gonzales, Matthew, Mendelevitch, Ofer, Ahmad, Amin
Summarization is one of the most common tasks performed by large language models (LLMs), especially in applications like Retrieval-Augmented Generation (RAG). However, existing evaluations of hallucinations in LLM-generated summaries, and evaluations
Externí odkaz:
http://arxiv.org/abs/2410.13210
State-space models (SSMs), exemplified by S4, have introduced a novel context modeling method by integrating state-space techniques into deep learning. However, they struggle with global context modeling due to their data-independent matrices. The Ma
Externí odkaz:
http://arxiv.org/abs/2409.11867
Autor:
Khan, Asifullah, Rauf, Zunaira, Khan, Abdul Rehman, Rathore, Saima, Khan, Saddam Hussain, Shah, Najmus Saher, Farooq, Umair, Asif, Hifsa, Asif, Aqsa, Zahoora, Umme, Khalil, Rafi Ullah, Qamar, Suleman, Asif, Umme Hani, Khan, Faiza Babar, Majid, Abdul, Gwak, Jeonghwan
Medical image segmentation plays a crucial role in various healthcare applications, enabling accurate diagnosis, treatment planning, and disease monitoring. Traditionally, convolutional neural networks (CNNs) dominated this domain, excelling at local
Externí odkaz:
http://arxiv.org/abs/2312.00634
Autor:
Saurabh Chaturvedi, Nasser M. Alqahtani, Mohammed A. Al-Qarni, Saeed M. Alqahtani, Ghazala Suleman, Ashfaq Yaqoob, Mohasin Abdul Khader, Asim Elsir Elmahdi, Mudita Chaturvedi
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background The advent of digital technologies has introduced novel methods for RPD fabrication, potentially enhancing the fit compared to the conventional approaches. This systematic review aimed to evaluate the methods to assess the accurac
Externí odkaz:
https://doaj.org/article/5241ec4538c14ba189b6c799796c4bc7
Publikováno v:
Jurnal Presipitasi, Vol 21, Iss 3, Pp 681-695 (2024)
Horizontal flow constructed wetland (HFCW) is a method mimicking natural processes in which plantations are used to treat wastewater. This method demonstrates superior efficacy in the removal of organic pollutants and total nitrogen. Furthermore, it
Externí odkaz:
https://doaj.org/article/ee120945a04f4e52b92758c93408741a
Autor:
Abrar Mohammad Sayaf, Kafila Kousar, Muhammad Suleman, Norah A. Albekairi, AbdulRahman Alshammari, Anwar Mohammad, Abbas Khan, Abdelali Agouni, Kar Kheng Yeoh
Publikováno v:
BMC Chemistry, Vol 18, Iss 1, Pp 1-18 (2024)
Abstract Hypoxia-inducible factors (HIFs) are transcription factors that regulate erythropoietin (EPO) synthesis and red blood cell (RBC) production. Prolyl-4-hydroxylase domain (PHD) enzymes are key regulators of HIF’s stability and activity. Inhi
Externí odkaz:
https://doaj.org/article/8d5ca29b52fe471db22ea03897887966