Zobrazeno 1 - 10
of 3 699
pro vyhledávání: '"Baig Mirza"'
Publikováno v:
Asian Journal of Medical Sciences, Vol 15, Iss 8, Pp 13-20 (2024)
Background: Urological operations frequently involve the use of spinal anesthesia. In the present scenario, adding different adjuvants to local anesthetic improve its quality and duration has become common. Aims and Objectives: In patients undergo
Externí odkaz:
https://doaj.org/article/81743596b4b84f929871997662652db8
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7461 (2024)
Investigating the flow performance of Francis turbines from model to prototype is a complex but essential process for ensuring reliable and efficient turbine operation in hydropower plants. It ensures that Francis turbine designs operate efficiently
Externí odkaz:
https://doaj.org/article/8fbb1e1b85e54330963f4b6e5f7eb65c
Autor:
Baig Mirza Umar, Zhengwei Wang, Sailesh Chitrakar, Bhola Thapa, Xingxing Huang, Ravi Poudel, Aaditya Karna
Publikováno v:
Energies, Vol 17, Iss 16, p 4006 (2024)
Sediment erosion of hydraulic turbines is a significant challenge in hydropower plants in mountainous regions like the European Alps, the Andes, and the Himalayan region. The erosive wear of Pelton runner buckets is influenced by a variety of factors
Externí odkaz:
https://doaj.org/article/8759f1dff5f4470384650f1f84e2be63
Autor:
Shih, Yong-Siang, Zhao, Zach, Niu, Chenhao, Iberg, Bruce, Sharpnack, James, Baig, Mirza Basim
For high-stakes online exams, it is important to detect potential rule violations to ensure the security of the test. In this study, we investigate the task of detecting whether test takers are looking away from the screen, as such behavior could be
Externí odkaz:
http://arxiv.org/abs/2409.16923
Autor:
Shah, Shahid Munir, Gillani, Syeda Anshrah, Baig, Mirza Samad Ahmed, Saleem, Muhammad Aamer, Siddiqui, Muhammad Hamzah
This study investigates the use of Large Language Models (LLMs) for improved depression detection from users social media data. Through the use of fine-tuned GPT 3.5 Turbo 1106 and LLaMA2-7B models and a sizable dataset from earlier studies, we were
Externí odkaz:
http://arxiv.org/abs/2409.14794
Sparse connectivity is a hallmark of the brain and a desired property of artificial neural networks. It promotes energy efficiency, simplifies training, and enhances the robustness of network function. Thus, a detailed understanding of how to achieve
Externí odkaz:
http://arxiv.org/abs/2409.04946
Autor:
Shachi Goenka, Sushil Kumar Cirigiri, Kanika Poplai, Baig Mirza Aslam, Shalini Singh, Shweta Gangavane
Publikováno v:
Journal of Pharmacy and Bioallied Sciences, Vol 13, Iss 6, Pp 1478-1482 (2021)
Background: Shade of the teeth is of specific significance to the patient because of social and psychological concern and hence plays vital role as primary care. Bleaching is a noninvasive, relatively inexpensive, conservative, and low-maintenance me
Externí odkaz:
https://doaj.org/article/3eedcebbe7c440edb30aee425e2fa535
Autor:
Manzoor Ayesha, Ahmad Touqeer, Bashir Muhammad Ajmal, Baig Mirza Muhammad Qadeer, Quresh Abdul Ahad, Shah Muhammad Kausar Nawaz, Hafiz Ishfaq Ahmed
Publikováno v:
Folia Horticulturae, Vol 30, Iss 2, Pp 307-319 (2018)
Gladiolus is one of the most important lucrative cut flower crops that is commercially cultivated worldwide due to its various spike forms, size, and shape and color combinations. In order to further increase the commercial and horticultural value by
Externí odkaz:
https://doaj.org/article/abd7d09fc6ed4a129bfc167a2b580d95
Online exams have become popular in recent years due to their accessibility. However, some concerns have been raised about the security of the online exams, particularly in the context of professional cheating services aiding malicious test takers in
Externí odkaz:
http://arxiv.org/abs/2403.14711
Autor:
Lee, Jonathan W., Wang, Han, Jang, Kathy, Hayat, Amaury, Bunting, Matthew, Alanqary, Arwa, Barbour, William, Fu, Zhe, Gong, Xiaoqian, Gunter, George, Hornstein, Sharon, Kreidieh, Abdul Rahman, Lichtlé, Nathan, Nice, Matthew W., Richardson, William A., Shah, Adit, Vinitsky, Eugene, Wu, Fangyu, Xiang, Shengquan, Almatrudi, Sulaiman, Althukair, Fahd, Bhadani, Rahul, Carpio, Joy, Chekroun, Raphael, Cheng, Eric, Chiri, Maria Teresa, Chou, Fang-Chieh, Delorenzo, Ryan, Gibson, Marsalis, Gloudemans, Derek, Gollakota, Anish, Ji, Junyi, Keimer, Alexander, Khoudari, Nour, Mahmood, Malaika, Mahmood, Mikail, Matin, Hossein Nick Zinat, Mcquade, Sean, Ramadan, Rabie, Urieli, Daniel, Wang, Xia, Wang, Yanbing, Xu, Rita, Yao, Mengsha, You, Yiling, Zachár, Gergely, Zhao, Yibo, Ameli, Mostafa, Baig, Mirza Najamuddin, Bhaskaran, Sarah, Butts, Kenneth, Gowda, Manasi, Janssen, Caroline, Lee, John, Pedersen, Liam, Wagner, Riley, Zhang, Zimo, Zhou, Chang, Work, Daniel B., Seibold, Benjamin, Sprinkle, Jonathan, Piccoli, Benedetto, Monache, Maria Laura Delle, Bayen, Alexandre M.
The CIRCLES project aims to reduce instabilities in traffic flow, which are naturally occurring phenomena due to human driving behavior. These "phantom jams" or "stop-and-go waves,"are a significant source of wasted energy. Toward this goal, the CIRC
Externí odkaz:
http://arxiv.org/abs/2402.17043