Zobrazeno 1 - 10
of 617
pro vyhledávání: '"Hasan, Mohamed"'
Autor:
Srinivasan, Aravinda Ramakrishnan, Lin, Yi-Shin, Antonello, Morris, Knittel, Anthony, Hasan, Mohamed, Hawasly, Majd, Redford, John, Ramamoorthy, Subramanian, Leonetti, Matteo, Billington, Jac, Romano, Richard, Markkula, Gustav
Autonomous vehicles use a variety of sensors and machine-learned models to predict the behavior of surrounding road users. Most of the machine-learned models in the literature focus on quantitative error metrics like the root mean square error (RMSE)
Externí odkaz:
http://arxiv.org/abs/2206.11110
Publikováno v:
In Structures September 2024 67
Autor:
Mohammed Abdulsattar M.Al-Mashhadani ,, Imad M. E. Al-Majamie ,, Abdulqader Abdulsattar M.Al Mashhadani ,, Jalil Alezzi ,, Hasan Mohamed Aydaroos Aljefri
Publikováno v:
Diyala Journal of Medicine, Vol 26, Iss 1 (2024)
Background: Pulmonary TB is a relatively common disease in developing countries including Iraq . A relatively small proportion (5–10%) of the approximately 2 billion people infected with M. tuberculosis worldwide will develop TB. Objective: To s
Externí odkaz:
https://doaj.org/article/96fb821801ad431ebc391971ee47951b
Publikováno v:
In Journal of Genetic Engineering and Biotechnology March 2024 22(1)
Publikováno v:
In Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 15 February 2024 307
Autor:
Hasan, Mohamed, Solernou, Albert, Paschalidis, Evangelos, Wang, He, Markkula, Gustav, Romano, Richard
Autonomous vehicles should be able to predict the future states of its environment and respond appropriately. Specifically, predicting the behavior of surrounding human drivers is vital for such platforms to share the same road with humans. Behavior
Externí odkaz:
http://arxiv.org/abs/2104.14079
Autor:
Hasan, Mohamed, Paschalidis, Evangelos, Solernou, Albert, Wang, He, Markkula, Gustav, Romano, Richard
Predicting future behavior of the surrounding vehicles is crucial for self-driving platforms to safely navigate through other traffic. This is critical when making decisions like crossing an unsignalized intersection. We address the problem of vehicl
Externí odkaz:
http://arxiv.org/abs/2104.11180
Autor:
Srinivasan, Aravinda Ramakrishnan, Hasan, Mohamed, Lin, Yi-Shin, Leonetti, Matteo, Billington, Jac, Romano, Richard, Markkula, Gustav
There is quickly growing literature on machine-learned models that predict human driving trajectories in road traffic. These models focus their learning on low-dimensional error metrics, for example average distance between model-generated and observ
Externí odkaz:
http://arxiv.org/abs/2104.10496
Publikováno v:
Critical Care Research and Practice, Vol 2024 (2024)
Introduction. The advent of ceftazidime-avibactam (CAZ-AVI)-resistant carbapenem-resistant Klebsiella pneumoniae (CRKP) isolates has been steadily documented in recent years. We aimed to identify risk factors of CAZ-AVI-resistant CRKP infection and a
Externí odkaz:
https://doaj.org/article/bb1ede1942f24f37bb1f1265f6c64f33
Autor:
Hasan, Mohamed, Warburton, Matthew, Agboh, Wisdom C., Dogar, Mehmet R., Leonetti, Matteo, Wang, He, Mushtaq, Faisal, Mon-Williams, Mark, Cohn, Anthony G.
Humans, in comparison to robots, are remarkably adept at reaching for objects in cluttered environments. The best existing robot planners are based on random sampling of configuration space -- which becomes excessively high-dimensional with large num
Externí odkaz:
http://arxiv.org/abs/2002.12738