Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Mohammed Aledhari"'
Publikováno v:
IEEE Access, Vol 10, Pp 31306-31339 (2022)
This paper provides a comprehensive literature review of various technologies and protocols used for medical Internet of Things (IoT) with a thorough examination of current enabling technologies, use cases, applications, and challenges. Despite recen
Externí odkaz:
https://doaj.org/article/cbacabaf44d3437894be390c0692c899
Autor:
Muhammad Usman Tariq, Muhammad Haseeb, Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, Fahad Saeed
Publikováno v:
IEEE Access, Vol 9, Pp 5497-5516 (2021)
Big Data Proteogenomics lies at the intersection of high-throughput Mass Spectrometry (MS) based proteomics and Next Generation Sequencing based genomics. The combined and integrated analysis of these two high-throughput technologies can help discove
Externí odkaz:
https://doaj.org/article/c0f8574a8ff64b949a36eef5a93f9b57
Publikováno v:
IEEE Access, Vol 8, Pp 140699-140725 (2020)
This paper provides a comprehensive study of Federated Learning (FL) with an emphasis on enabling software and hardware platforms, protocols, real-life applications and use-cases. FL can be applicable to multiple domains but applying it to different
Externí odkaz:
https://doaj.org/article/cb39e9236aae4a9399f1cd10c696bf8a
Publikováno v:
IEEE Transactions on Big Data. 7:271-284
In the age of Big Genomics Data, institutions such as the National Human Genome Research Institute (NHGRI) are challenged in their efforts to share volumes of data between researchers, a process that has been plagued by unreliable transfers and slow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13784ea9da0effe61b76c9f31283f9d7
https://doi.org/10.1109/tbdata.2018.2805687
https://doi.org/10.1109/tbdata.2018.2805687
Autor:
Mohammed Aledhari, Gautam Srivastava, Hadis Karimipour, Reza M. Parizi, Abbas Yazdinejad, Ali Dehghantanha
Publikováno v:
IEEE Internet of Things Journal. 8:6406-6415
There is currently widespread use of drones and drone technology due to their rising applications that have come into fruition in the military, safety surveillance, agriculture, smart transportation, shipping, and delivery of packages in our Internet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::500ee9302175f6581df7e4215493bf8c
https://doi.org/10.1109/jiot.2020.3015382
https://doi.org/10.1109/jiot.2020.3015382
Autor:
Mohammed Aledhari, Muhammad Haseeb, Fahad Saeed, Rehma Razzak, Reza M. Parizi, Muhammad Usman Tariq
Publikováno v:
IEEE Access, Vol 9, Pp 5497-5516 (2021)
IEEE access : practical innovations, open solutions
IEEE access : practical innovations, open solutions
Big Data Proteogenomics lies at the intersection of high-throughput Mass Spectrometry (MS) based proteomics and Next Generation Sequencing based genomics. The combined and integrated analysis of these two high-throughput technologies can help discove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a497f83f43a09cb2ebccccb20d5f30fe
https://ieeexplore.ieee.org/document/9309010/
https://ieeexplore.ieee.org/document/9309010/
Publikováno v:
VTC Spring
Designing and developing autonomous vehicles that are capable of moving safely on roads by sensing the environment has motivated researchers to focus on pedestrian detection systems so they can detect people as fast and accurately as possible. Howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32adcc4337a98be659df00fd2ac7c8e5
https://doi.org/10.1109/vtc2021-spring51267.2021.9448692
https://doi.org/10.1109/vtc2021-spring51267.2021.9448692
Publikováno v:
VTC Spring
With the rapid development of commercial drones, drone detection and classification have emerged and grown recently. Drone detection works to detect unmanned aerial vehicles (UAVs). Usually, systems for drone detection utilize a combination of one or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b46d36f63ec5773403b1f633c5303428
https://doi.org/10.1109/vtc2021-spring51267.2021.9448699
https://doi.org/10.1109/vtc2021-spring51267.2021.9448699
Publikováno v:
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687984
ICPR Workshops (4)
ICPR Workshops (4)
When people are in an interview, with the interview questions, people’s emotions will change differently. Therefore, it is very helpful to detect people’s emotions in real-time. To do so, comprehensive data collection was performed through the vo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23d4ba6d738550b4cffe74b5d3d7af3b
https://doi.org/10.1007/978-3-030-68799-1_21
https://doi.org/10.1007/978-3-030-68799-1_21
Autor:
Rehma Razzak, Mohammed Aledhari
Publikováno v:
BIBM
The UNet is one of the most well-known convolutional neural network (CNN) architectures used for biomedical image segmentation. Unfortunately, the 2D variant is typically discouraged for volumetric brain tumor segmentation due to slices being correla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cad2d0b25f1d1d5492dab1967a7271e
https://doi.org/10.1109/bibm49941.2020.9313547
https://doi.org/10.1109/bibm49941.2020.9313547