Zobrazeno 1 - 10
of 7 317
pro vyhledávání: '"MUHAMMAD, UMAR"'
Autor:
Christophe, Clément, Raha, Tathagata, Maslenkova, Svetlana, Salman, Muhammad Umar, Kanithi, Praveen K, Pimentel, Marco AF, Khan, Shadab
Large Language Models (LLMs) have demonstrated significant potential in transforming clinical applications. In this study, we investigate the efficacy of four techniques in adapting LLMs for clinical use-cases: continuous pretraining, instruct fine-t
Externí odkaz:
http://arxiv.org/abs/2409.14988
Autor:
Arshad, Muhammad Arbab, Kandanur, Pallavi, Sonawani, Saurabh, Batool, Laiba, Habib, Muhammad Umar
This study analyzes the Ames Housing Dataset using CatBoost and LightGBM models to explore feature importance and causal relationships in housing price prediction. We examine the correlation between SHAP values and EconML predictions, achieving high
Externí odkaz:
http://arxiv.org/abs/2409.02130
As IoT-based wireless sensor networks (WSNs) become more prevalent, the issue of energy shortages becomes more pressing. One potential solution is the use of wireless power transfer (WPT) technology, which is the key to building a new shape of wirele
Externí odkaz:
http://arxiv.org/abs/2405.06983
Autor:
Christophe, Clément, Kanithi, Praveen K, Munjal, Prateek, Raha, Tathagata, Hayat, Nasir, Rajan, Ronnie, Al-Mahrooqi, Ahmed, Gupta, Avani, Salman, Muhammad Umar, Gosal, Gurpreet, Kanakiya, Bhargav, Chen, Charles, Vassilieva, Natalia, Amor, Boulbaba Ben, Pimentel, Marco AF, Khan, Shadab
This study presents a comprehensive analysis and comparison of two predominant fine-tuning methodologies - full-parameter fine-tuning and parameter-efficient tuning - within the context of medical Large Language Models (LLMs). We developed and refine
Externí odkaz:
http://arxiv.org/abs/2404.14779
The performance of user-centric ultra-dense networks (UCUDNs) hinges on the Service zone (Szone) radius, which is an elastic parameter that balances the area spectral efficiency (ASE) and energy efficiency (EE) of the network. Accurately determining
Externí odkaz:
http://arxiv.org/abs/2402.15795
Autor:
Qaisar, Muhammad Umar Farooq, Yuan, Weijie, Bellavista, Paolo, Han, Guangjie, Zakariyya, Rabiu Sale, Ahmed, Adeel
The internet of things (IoT) based wireless sensor networks (WSNs) face an energy shortage challenge that could be overcome by the novel wireless power transfer (WPT) technology. The combination of WSNs and WPT is known as wireless rechargeable senso
Externí odkaz:
http://arxiv.org/abs/2402.10873
In Automatic Speech Recognition (ASR), teacher-student (T/S) training has shown to perform well for domain adaptation with small amount of training data. However, adaption without ground-truth labels is still challenging. A previous study has shown t
Externí odkaz:
http://arxiv.org/abs/2402.04805
Student-teacher learning or knowledge distillation (KD) has been previously used to address data scarcity issue for training of speech recognition (ASR) systems. However, a limitation of KD training is that the student model classes must be a proper
Externí odkaz:
http://arxiv.org/abs/2310.18865
Autor:
Faraz Hussain, Muhammad Umar Manzoor, Muhammad Kamran, Tahir Ahmad, Fahad Riaz, Sehrish Mukhtar, Hafiz Muhammad Rehan Tariq, Muhammad Ishtiaq
Publikováno v:
Iranian Journal of Materials Science and Engineering, Vol 21, Iss 3, Pp 1-15 (2024)
Magnesium alloys are increasingly valued for biomedical applications due to their biocompatibility. This study investigates Mg-AZ31B alloy samples treated with quartz and alumina grits (
Externí odkaz:
https://doaj.org/article/125357972c404d66864a6020de2ac1d7
Autor:
Ali Asghar, Muhammad Awais, Syed Hassan Raza Naqvi, Muhammad Umar Mehboob, Reqad Ali, Jawaid Iqbal
Publikováno v:
Journal of Engineering Technology and Applied Physics, Vol 6, Iss 2, Pp 9-15 (2024)
Using proposed system psychologists can use technology to make decisions which can provide ease for both patients and psychologists. Psychologists can check the progress of patients by analysing emotions reports of patient over time. Using historical
Externí odkaz:
https://doaj.org/article/fe5404d13ab541a1ba900c5f697861f6