Zobrazeno 1 - 10
of 3 811
pro vyhledávání: '"Mohammad A. Ali"'
Autor:
Rashidul A. Mahumud, Marufa Sultana, Satyajit Kundu, Md. A. Rahman, Sabuj K. Mistry, Joseph K. Kamara, Mostafa Kamal, Mohammad A. Ali, Md. G. Hossain, Cristy Brooks, Asaduzzaman Khan, Khorshed Alam, Andre M. N. Renzaho
Publikováno v:
Health Expectations, Vol 25, Iss 6, Pp 3259-3273 (2022)
Abstract Background Low‐ and middle‐income countries (LMICs) have a disproportionately high burden of chronic diseases, with inequalities in health care access and quality services. This study aimed to assess patients' preferences for healthcare
Externí odkaz:
https://doaj.org/article/979e2d56af54476ea1e23f4768d80a07
In classical theory, the physical systems are elucidated through the concepts of particles and waves, which aim to describe the reality of the physical system with certainty. In this framework, particles are mathematically represented by position vec
Externí odkaz:
http://arxiv.org/abs/2409.15285
Autor:
Shen, Junhao, Haqqani, Mohammad Ausaf Ali, Hu, Beichen, Huang, Cheng, Xie, Xihao, Lee, Tsengdar, Zhang, Jia
Due to the rapid growth of scientific publications, identifying all related reference articles in the literature has become increasingly challenging yet highly demanding. Existing methods primarily assess candidate publications from a static perspect
Externí odkaz:
http://arxiv.org/abs/2408.15371
Neural Networks (NN) has been used in many areas with great success. When a NN's structure (Model) is given, during the training steps, the parameters of the model are determined using an appropriate criterion and an optimization algorithm (Training)
Externí odkaz:
http://arxiv.org/abs/2408.07104
Publikováno v:
ACS Omega, Vol 3, Iss 11, Pp 14665-14670 (2018)
Externí odkaz:
https://doaj.org/article/30adb9607e654400b4b93c2ca8dee91e
Publikováno v:
Chaos 34, 083140 (2024)
This study presents a Bayesian maximum \textit{a~posteriori} (MAP) framework for dynamical system identification from time-series data. This is shown to be equivalent to a generalized Tikhonov regularization, providing a rational justification for th
Externí odkaz:
http://arxiv.org/abs/2401.16943
Machine Learning (ML) methods and tools have gained great success in many data, signal, image and video processing tasks, such as classification, clustering, object detection, semantic segmentation, language processing, Human-Machine interface, etc.
Externí odkaz:
http://arxiv.org/abs/2309.00802
Inverse problems arise anywhere we have indirect measurement. As, in general they are ill-posed, to obtain satisfactory solutions for them needs prior knowledge. Classically, different regularization methods and Bayesian inference based methods have
Externí odkaz:
http://arxiv.org/abs/2308.15492
Autor:
Izabela Nowak-Gospodarowicz, Rafał Nowak, Michal Kinasz, Aleksandra Kinga Kicinska, Marek Rękas, Mohammad Javed Ali
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-6 (2024)
Abstract The purpose was to evaluate the use of 3D CT-DCG-assisted and endoscopically guided coronary catheter balloon dacryoplasty (CC-BDCP) in adults with focal stenosis of the nasolacrimal duct (NLD) and report their long-term outcomes. A prospect
Externí odkaz:
https://doaj.org/article/dbe61f63a97a4b769a4ec21288fa247f
Autor:
Prakash Shoba Savariyar Adimy, Mohamed S. Elshikh, Mohammad Ajmal Ali, Gurupatham Devadhasan Biji
Publikováno v:
BioResources, Vol 19, Iss 4, Pp 8368-8387 (2024)
Agro-residues, including banana peel, pineapple peel, mango peel, apple peel, and coconut husk, were utilized to produce extracellular polysaccharide (EPS) via solid state fermentation(SSF) by the fungus, Trichoderma hamatum. EPS production was highe
Externí odkaz:
https://doaj.org/article/4a68fc91bb9c4c9eb96bb214b05b1a51