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pro vyhledávání: '"Ashmafee, Md. Hamjajul"'
Autor:
Ishmam, Md Farhan, Tashdeed, Ishmam, Saadat, Talukder Asir, Ashmafee, Md Hamjajul, Kamal, Abu Raihan Mostofa, Hossain, Md. Azam
Can Visual Question Answering (VQA) systems perform just as well when deployed in the real world? Or are they susceptible to realistic corruption effects e.g. image blur, which can be detrimental in sensitive applications, such as medical VQA? While
Externí odkaz:
http://arxiv.org/abs/2407.03386
Autor:
Rahman, Raian, Hasan, Rizvi, Farhad, Abdullah Al, Laskar, Md Tahmid Rahman, Ashmafee, Md. Hamjajul, Kamal, Abu Raihan Mostofa
Automatic chart to text summarization is an effective tool for the visually impaired people along with providing precise insights of tabular data in natural language to the user. A large and well-structured dataset is always a key part for data drive
Externí odkaz:
http://arxiv.org/abs/2304.13620
Autor:
Ashmafee, Md. Hamjajul, Ahmed, Tasnim, Ahmed, Sabbir, Hasan, Md. Bakhtiar, Jahan, Mst Nura, Rahman, A. B. M. Ashikur
Correct identification and categorization of plant diseases are crucial for ensuring the safety of the global food supply and the overall financial success of stakeholders. In this regard, a wide range of solutions has been made available by introduc
Externí odkaz:
http://arxiv.org/abs/2304.06520
Autor:
Rahman, A. B. M. Ashikur, Hasan, Md. Bakhtiar, Ahmed, Sabbir, Ahmed, Tasnim, Ashmafee, Md. Hamjajul, Kabir, Mohammad Ridwan, Kabir, Md. Hasanul
Handwritten Digit Recognition (HDR) is one of the most challenging tasks in the domain of Optical Character Recognition (OCR). Irrespective of language, there are some inherent challenges of HDR, which mostly arise due to the variations in writing st
Externí odkaz:
http://arxiv.org/abs/2206.02234