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pro vyhledávání: '"Hasan, Md. Bakhtiar"'
Autor:
Rahman, Md. Atiqur, Asad, Nahian Ibn, Omi, Md. Mushfiqul Haque, Hasan, Md. Bakhtiar, Ahmed, Sabbir, Kabir, Md. Hasanul
Automatic Traffic Sign Recognition is paramount in modern transportation systems, motivating several research endeavors to focus on performance improvement by utilizing large-scale datasets. As the appearance of traffic signs varies across countries,
Externí odkaz:
http://arxiv.org/abs/2409.14852
Autor:
Khan, Akib Mohammed, Ashrafee, Alif, Khan, Fahim Shahriar, Hasan, Md. Bakhtiar, Kabir, Md. Hasanul
Manually inspecting polyps from a colonoscopy for colorectal cancer or performing a biopsy on skin lesions for skin cancer are time-consuming, laborious, and complex procedures. Automatic medical image segmentation aims to expedite this diagnosis pro
Externí odkaz:
http://arxiv.org/abs/2306.14255
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:
Kabir, Mohsinul, Ahmed, Tasnim, Hasan, Md. Bakhtiar, Laskar, Md Tahmid Rahman, Joarder, Tarun Kumar, Mahmud, Hasan, Hasan, Kamrul
Publikováno v:
Computers in Human Behavior, 107503 (2022)
Mental health research through data-driven methods has been hindered by a lack of standard typology and scarcity of adequate data. In this study, we leverage the clinical articulation of depression to build a typology for social media texts for detec
Externí odkaz:
http://arxiv.org/abs/2210.05372
Autor:
Bashar, Mk, Islam, Samia, Hussain, Kashifa Kawaakib, Hasan, Md. Bakhtiar, Rahman, A. B. M. Ashikur, Kabir, Md. Hasanul
Multiple object tracking gained a lot of interest from researchers in recent years, and it has become one of the trending problems in computer vision, especially with the recent advancement of autonomous driving. MOT is one of the critical vision tas
Externí odkaz:
http://arxiv.org/abs/2209.04796
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
Biometric authentication using gait has become a promising field due to its unobtrusive nature. Recent approaches in model-based gait recognition techniques utilize spatio-temporal graphs for the elegant extraction of gait features. However, existing
Externí odkaz:
http://arxiv.org/abs/2204.10238
To ensure global food security and the overall profit of stakeholders, the importance of correctly detecting and classifying plant diseases is paramount. In this connection, the emergence of deep learning-based image classification has introduced a s
Externí odkaz:
http://arxiv.org/abs/2109.02394
Vehicular object detection is the heart of any intelligent traffic system. It is essential for urban traffic management. R-CNN, Fast R-CNN, Faster R-CNN and YOLO were some of the earlier state-of-the-art models. Region based CNN methods have the prob
Externí odkaz:
http://arxiv.org/abs/2108.12118
Autor:
Farabi, Shafkat, Himel, Hasibul, Gazzali, Fakhruddin, Hasan, Md. Bakhtiar, Kabir, Md. Hasanul, Farazi, Moshiur
Action quality assessment (AQA) aims at automatically judging human action based on a video of the said action and assigning a performance score to it. The majority of works in the existing literature on AQA divide RGB videos into short clips, transf
Externí odkaz:
http://arxiv.org/abs/2102.10555