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of 6
pro vyhledávání: '"Shahriar Shakir Sumit"'
Autor:
Shahriar Shakir Sumit, Dayang Rohaya Awang Rambli, Seyedali Mirjalili, M. Saef Ullah Miah, Muhammad Mudassir Ejaz
Publikováno v:
MethodsX, Vol 10, Iss , Pp 101936- (2023)
Human detection is an important task in computer vision. It is one of the most important tasks in global security and safety monitoring. In recent days, Deep Learning has improved human detection technology. Despite modern techniques, there are very
Externí odkaz:
https://doaj.org/article/fe72df220ef340e48229af3a4a7caf43
Publikováno v:
IEEE Access, Vol 9, Pp 42724-42761 (2021)
Cameras are being used everywhere for the safety and security of citizens in different countries. Using a machine to detect humans in a photo or a video frame is a very complicated and challenging task. Various techniques have been developed for this
Externí odkaz:
https://doaj.org/article/458656e0a1bc44d38248a9ac8ed750c2
Autor:
Shahriar Shakir Sumit, Dayang Rohaya Awang Rambli, Seyedali Mirjalili, Muhammad Mudassir Ejaz, M. Saef Ullah Miah
Publikováno v:
Applied Sciences, Vol 12, Iss 18, p 9331 (2022)
Human detection is a special application of object recognition and is considered one of the greatest challenges in computer vision. It is the starting point of a number of applications, including public safety and security surveillance around the wor
Externí odkaz:
https://doaj.org/article/f210aab0c76e46a89a73bc49ed45df41
Autor:
Shahriar Shakir Sumit, Dayang Rohaya Awang Rambli, Seyedali Mirjalili, M. Saef Ullah Miah, Muhammad Mudassir Ejaz
Publikováno v:
MethodsX. 10
Human detection is an important task in computer vision. It is one of the most important tasks in global security and safety monitoring. In recent days, Deep Learning has improved human detection technology. Despite modern techniques, there are very
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee538a5a9c97ec9cbdb921f48d5d7a0e
https://pubmed.ncbi.nlm.nih.gov/36578294
https://pubmed.ncbi.nlm.nih.gov/36578294
Autor:
Dayang Rohaya Awang Rambli, Nafiz Ishtiaque Ahmed, Shahriar Shakir Sumit, Junzo Watada, Fatema Nasrin
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030495350
Imputing missing data plays a pivotal role in minimizing the biases of knowledge in computational data. The principal purpose of this paper is to establish a better approach to dealing with missing data. Clinical data often contain erroneous data, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5ac9ded80e1f543bd10d7be044decc5
https://doi.org/10.1007/978-3-030-49536-7_8
https://doi.org/10.1007/978-3-030-49536-7_8
Publikováno v:
Journal of Physics: Conference Series. 1529:042086
Deep learning concept and algorithm play a pivotal role in solving various complicated problems such as playing games, forecasting economic future values, detecting objects in images. It could break through the bottle neck in conventional methods of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44cf648e1ca6c694602799c18cd5a6ad
https://doi.org/10.1088/1742-6596/1529/4/042086
https://doi.org/10.1088/1742-6596/1529/4/042086