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pro vyhledávání: '"Pervin, Mst Tasnim"'
Autor:
Huq, Aminul, Pervin, Mst Tasnim
Publikováno v:
IAES International Journal of Artificial Intelligence, Vol 11, No.1, 2022
Deep learning based models are used regularly in every applications nowadays. Generally we train a single model on a single task. However, we can train multiple tasks on a single model under multi-task learning settings. This provides us many benefit
Externí odkaz:
http://arxiv.org/abs/2303.07278
Segmentation is considered to be a very crucial task in medical image analysis. This task has been easier since deep learning models have taken over with its high performing behavior. However, deep learning models dependency on large data proves it t
Externí odkaz:
http://arxiv.org/abs/2105.12106
Autor:
Huq, Aminul, Pervin, Mst. Tasnim
Deep learning models have been used widely for various purposes in recent years in object recognition, self-driving cars, face recognition, speech recognition, sentiment analysis, and many others. However, in recent years it has been shown that these
Externí odkaz:
http://arxiv.org/abs/2005.14108
Autor:
Rahman, Md. Abdur, Huq, Aminul, Tunny, Salma Sultana, Anik, Maruf Hossain, Pervin, Mst Tasnim, Islam, Md. Rashidul
Publikováno v:
IET Image Processing (Wiley-Blackwell); 3/27/2024, Vol. 18 Issue 4, p897-913, 17p