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pro vyhledávání: '"Masood, Usama"'
Autor:
Ijaz, Aneeqa, Nabeel, Muhammad, Masood, Usama, Mahmood, Tahir, Hashmi, Mydah Sajid, Posokhova, Iryna, Rizwan, Ali, Imran, Ali
Cough acoustics contain multitudes of vital information about pathomorphological alterations in the respiratory system. Reliable and accurate detection of cough events by investigating the underlying cough latent features and disease diagnosis can pl
Externí odkaz:
http://arxiv.org/abs/2309.14383
Autor:
Qureshi, Haneya Naeem, Masood, Usama, Manalastas, Marvin, Zaidi, Syed Muhammad Asad, Farooq, Hasan, Forgeat, Julien, Bouton, Maxime, Bothe, Shruti, Karlsson, Per, Rizwan, Ali, Imran, Ali
The future of cellular networks is contingent on artificial intelligence (AI) based automation, particularly for radio access network (RAN) operation, optimization, and troubleshooting. To achieve such zero-touch automation, a myriad of AI-based solu
Externí odkaz:
http://arxiv.org/abs/2304.12480
In modern wireless communication systems, radio propagation modeling to estimate pathloss has always been a fundamental task in system design and optimization. The state-of-the-art empirical propagation models are based on measurements in specific en
Externí odkaz:
http://arxiv.org/abs/2201.12899
Publikováno v:
2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)
Mobile cellular network operators spend nearly a quarter of their revenue on network maintenance and management. A significant portion of that budget is spent on resolving faults diagnosed in the system that disrupt or degrade cellular services. Hist
Externí odkaz:
http://arxiv.org/abs/2005.01472
Publikováno v:
2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)
Current LTE network is faced with a plethora of Configuration and Optimization Parameters (COPs), both hard and soft, that are adjusted manually to manage the network and provide better Quality of Experience (QoE). With 5G in view, the number of thes
Externí odkaz:
http://arxiv.org/abs/2005.01474
Autor:
Imran, Ali, Posokhova, Iryna, Qureshi, Haneya N., Masood, Usama, Riaz, Muhammad Sajid, Ali, Kamran, John, Charles N., Hussain, MD Iftikhar, Nabeel, Muhammad
Publikováno v:
Informatics in Medicine Unlocked, vol. 20, p. 100378, 2020
Background: The inability to test at scale has become humanity's Achille's heel in the ongoing war against the COVID-19 pandemic. A scalable screening tool would be a game changer. Building on the prior work on cough-based diagnosis of respiratory di
Externí odkaz:
http://arxiv.org/abs/2004.01275
Autor:
Bales, Charles, Nabeel, Muhammad, John, Charles N., Masood, Usama, Qureshi, Haneya N., Farooq, Hasan, Posokhova, Iryna, Imran, Ali
Emerging wireless technologies, such as 5G and beyond, are bringing new use cases to the forefront, one of the most prominent being machine learning empowered health care. One of the notable modern medical concerns that impose an immense worldwide he
Externí odkaz:
http://arxiv.org/abs/2004.01495
Autor:
Ijaz, Aneeqa, Nabeel, Muhammad, Masood, Usama, Mahmood, Tahir, Hashmi, Mydah Sajid, Posokhova, Iryna, Rizwan, Ali, Imran, Ali
Publikováno v:
In Informatics in Medicine Unlocked 2022 29
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Publikováno v:
Computers, Materials & Continua; 2024, Vol. 78 Issue 3, p3551-3564, 14p