Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Muhammad Mudassir Ejaz"'
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:
Electronics Letters, Vol 57, Iss 2, Pp 50-53 (2021)
Abstract Deep reinforcement learning‐based methods employ an ample amount of computational power that affects the learning process. This paper proposes a novel approach to speed up the training process and improve the performance of autonomous navi
Externí odkaz:
https://doaj.org/article/5d00fccac16c4c09b8f53c68bbb338b2
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
Publikováno v:
IEEE Sensors Journal. 21:2230-2240
Tracked robots need to achieve safe autonomous steering in various changing environments. In this article, a novel end-to-end network architecture is proposed for tracked robots to learn collision-free autonomous navigation through deep reinforcement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da5d8425eb5c760e4f52f02d7095561d
https://doi.org/10.1109/jsen.2020.3016299
https://doi.org/10.1109/jsen.2020.3016299
Publikováno v:
International Conference on Artificial Intelligence for Smart Community ISBN: 9789811621826
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24cd820fc837f55048770b6769ed1d0c
https://doi.org/10.1007/978-981-16-2183-3_85
https://doi.org/10.1007/978-981-16-2183-3_85
Publikováno v:
2019 IEEE Student Conference on Research and Development (SCOReD).
Reinforcement Learning (RL) algorithm with deep learning techniques helps to solve many complex problems of today's world, such as to play a video game and autonomous navigation in the robots using the raw image as an input. Deep learning provides th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9a0f9dbc3ff8e0d2a0e218ddca68d21
https://doi.org/10.1109/scored.2019.8896352
https://doi.org/10.1109/scored.2019.8896352