Zobrazeno 1 - 10
of 441 679
pro vyhledávání: '"A RAHMAN"'
Autor:
A Rahman, M Kashif, A Nasir, S Ehtisham-ul-Haque, H Ullah, A Sikandar, I Ahmed, AU Rehman, MA Saeed, MW Nazar, M Rizwan, S Saher, A Abbas
Publikováno v:
Veterinární Medicína, Vol 68, Iss 10, Pp 385-391 (2023)
Enzootic bovine leucosis is caused by bovine leukaemia virus (BLV), a Deltaretrovirus belonging to the family Retroviridae. BLV causes huge economic losses to the dairy industry in the form of decreased milk production, premature culling, and poor re
Externí odkaz:
https://doaj.org/article/aa1144ce7c8840cc9a0a31c7641d350c
Autor:
Biswas, Amrijit, Hossain, Md. Ismail, Elahi, M M Lutfe, Cheraghian, Ali, Rahman, Fuad, Mohammed, Nabeel, Rahman, Shafin
A point cloud is a crucial geometric data structure utilized in numerous applications. The adoption of deep neural networks referred to as Point Cloud Neural Networks (PC- NNs), for processing 3D point clouds, has significantly advanced fields that r
Externí odkaz:
http://arxiv.org/abs/2408.14601
This study explores the concept of cross-disease transferability (XDT) in medical imaging, focusing on the potential of binary classifiers trained on one disease to perform zero-shot classification on another disease affecting the same organ. Utilizi
Externí odkaz:
http://arxiv.org/abs/2408.11493
Autor:
Kabir, Muhammad Rafsan, Sultan, Rafeed Mohammad, Asif, Ihsanul Haque, Ahad, Jawad Ibn, Rahman, Fuad, Amin, Mohammad Ruhul, Mohammed, Nabeel, Rahman, Shafin
Aligning large language models (LLMs) with a human reasoning approach ensures that LLMs produce morally correct and human-like decisions. Ethical concerns are raised because current models are prone to generating false positives and providing malicio
Externí odkaz:
http://arxiv.org/abs/2408.11879
Autor:
Ahmed, Nayeem, Rahman, Md Maruf, Ishrak, Md Fatin, Joy, Md Imran Kabir, Sabuj, Md Sanowar Hossain, Rahman, Md. Sadekur
This study compares eight pre-trained CNNs for diagnosing keratoconus, a degenerative eye disease. A carefully selected dataset of keratoconus, normal, and suspicious cases was used. The models tested include DenseNet121, EfficientNetB0, InceptionRes
Externí odkaz:
http://arxiv.org/abs/2408.09005
Autor:
Laskar, Md Tahmid Rahman, Alqahtani, Sawsan, Bari, M Saiful, Rahman, Mizanur, Khan, Mohammad Abdullah Matin, Khan, Haidar, Jahan, Israt, Bhuiyan, Amran, Tan, Chee Wei, Parvez, Md Rizwan, Hoque, Enamul, Joty, Shafiq, Huang, Jimmy
Large Language Models (LLMs) have recently gained significant attention due to their remarkable capabilities in performing diverse tasks across various domains. However, a thorough evaluation of these models is crucial before deploying them in real-w
Externí odkaz:
http://arxiv.org/abs/2407.04069
Autor:
C Gordon, A Rahman, M Inanc, M Petri, DA Isenberg, S Jacobsen, S Bae, RF van Vollenhoven, S Lin, S Manzi, R Ramsey-Goldman, N Costedoat-Chalumeau, S Bernatsky, J Sanchez-Guerrero, C Aranow, G Ruiz-Irastorza, M MacKay, EM Ginzler, DD Gladman, MA Dooley, A Askanase, Y Nguyen, A Jönsen, IN Bruce, DJ Wallace, JG Hanly, J Buyon, JT Merrill, B Blanchet, MB Urowitz, J Romero-Dia, AE Clarke, PR Fortin, GS Alarcón, V Le Gurn, KC Kalunian, CA Peschken, DL Kamen
Publikováno v:
Lupus Science and Medicine, Vol 9, Iss Suppl 2 (2022)
Externí odkaz:
https://doaj.org/article/5947cc252be04deda98aabe50e731416
Simulation modelling systems are routinely used to test or understand real-world scenarios in a controlled setting. They have found numerous applications in scientific research, engineering, and industrial operations. Due to their complex nature, the
Externí odkaz:
http://arxiv.org/abs/2409.03957
Two-stage adaptive robust optimization is a powerful approach for planning under uncertainty that aims to balance costs of "here-and-now" first-stage decisions with those of "wait-and-see" recourse decisions made after uncertainty is realized. To emb
Externí odkaz:
http://arxiv.org/abs/2409.03731
Autor:
Rahman, Md. Mahfuzur, Siddique, Sunzida, Kamal, Marufa, Rifat, Rakib Hossain, Gupta, Kishor Datta
Unmanned Aerial Vehicles (UAVs), have greatly revolutionized the process of gathering and analyzing data in diverse research domains, providing unmatched adaptability and effectiveness. This paper presents a thorough examination of Unmanned Aerial Ve
Externí odkaz:
http://arxiv.org/abs/2409.03245