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pro vyhledávání: '"Ghaffar, Faisal"'
Autor:
Ghaffar, Faisal
The current trend in technology shows that the robots will soon be seen interacting with humans and handling different tasks more efficiently in future. With advancement in artificial intelligence it can be foreseen that robots will definitely take o
Externí odkaz:
http://arxiv.org/abs/2205.00838
Autor:
Ghaffar, Faisal
The advancement of technology such as artificial intelligence, machine learning and internet of things it became easy to develop more humanoid robots and automate different processes. An interactive robot must have high social behavior so that it can
Externí odkaz:
http://arxiv.org/abs/2204.04240
Autor:
Ghaffar, Faisal, Khan, Sarwar, Uyyanonvara, Bunyarit, Sinthanayothin, Chanjira, Kaneko, Hirohiko
This research aims to develop an efficient system for screening of diabetic retinopathy. Diabetic retinopathy is the major cause of blindness. Severity of diabetic retinopathy is recognized by some features, such as blood vessel area, exudates, haemo
Externí odkaz:
http://arxiv.org/abs/2001.01953
Autor:
Ghaffar, Faisal
Facial expressions vary from person to person, and the brightness, contrast, and resolution of every random image are different. This is why recognizing facial expressions is very difficult. This article proposes an efficient system for facial emotio
Externí odkaz:
http://arxiv.org/abs/2001.01456
Deep learning is playing a vital role in every field which involves data. It has emerged as a strong and efficient framework that can be applied to a broad spectrum of complex learning problems which were difficult to solve using traditional machine
Externí odkaz:
http://arxiv.org/abs/2001.01717
The classification of amino acids and their sequence analysis plays a vital role in life sciences and is a challenging task. This article uses and compares state-of-the-art deep learning models like convolution neural networks (CNN), long short-term
Externí odkaz:
http://arxiv.org/abs/1907.03532
Autor:
Ali, Imad, Ghaffar, Faisal
Publikováno v:
AIMS Electronics & Electrical Engineering; 2024, Vol. 8 Issue 2, p217-236, 20p
Publikováno v:
International journal of electrical and computer engineering systems
Volume 13
Issue 9
Volume 13
Issue 9
Deepfake makes it quite easy to synthesize videos or images using deep learning techniques, which leads to substantial danger and worry for most of the world's renowned people. Spreading false news or synthesizing one's video or image can harm people
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c6e3ceaf2629120eb2777109a59f5b7
https://doi.org/10.32985/ijeces.13.9.9
https://doi.org/10.32985/ijeces.13.9.9
Publikováno v:
Engineering, Technology & Applied Science Research; Dec2022, Vol. 12 Issue 6, p9491-9495, 5p
Autor:
Ghaffar, Faisal, Hurley, Neil
Publikováno v:
Computational Social Networks; 11/17/2020, Vol. 7 Issue 1, p1-27, 27p