Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Kabir, Md. Hasanul"'
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
Publikováno v:
2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)
This paper presents a deep learning-based pipeline for categorizing Bengali toxic comments, in which at first a binary classification model is used to determine whether a comment is toxic or not, and then a multi-label classifier is employed to deter
Externí odkaz:
http://arxiv.org/abs/2304.04087
Autor:
Lisa, Fahmida Tasnim, Hossain, Md. Zarif, Mou, Sharmin Naj, Ivan, Shahriar, Kabir, Md. Hasanul
Semi-supervised learning (SSL) has made significant strides in the field of remote sensing. Finding a large number of labeled datasets for SSL methods is uncommon, and manually labeling datasets is expensive and time-consuming. Furthermore, accuratel
Externí odkaz:
http://arxiv.org/abs/2212.11211
Autor:
Alamgir, Refaat Mohammad, Shuvro, Ali Abir, Mushabbir, Mueeze Al, Raiyan, Mohammed Ashfaq, Rani, Nusrat Jahan, Rahman, Md. Mushfiqur, Kabir, Md. Hasanul, Ahmed, Sabbir
Publikováno v:
2022 25th International Conference on Computer and Information Technology (ICCIT)
The task of locating and classifying different types of vehicles has become a vital element in numerous applications of automation and intelligent systems ranging from traffic surveillance to vehicle identification and many more. In recent times, Dee
Externí odkaz:
http://arxiv.org/abs/2212.09144
Autor:
Kamal, Minhaz, Shaiara, Fairuz, Abdullah, Chowdhury Mohammad, Ahmed, Sabbir, Ahmed, Tasnim, Kabir, Md. Hasanul
Publikováno v:
2022 25th International Conference on Computer and Information Technology (ICCIT)
Handwriting Recognition has been a field of great interest in the Artificial Intelligence domain. Due to its broad use cases in real life, research has been conducted widely on it. Prominent work has been done in this field focusing mainly on Latin c
Externí odkaz:
http://arxiv.org/abs/2212.08610
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
Publikováno v:
2021 International Joint Conference on Neural Networks (IJCNN), 2021, pp. 1-8
Automatically detecting violence from surveillance footage is a subset of activity recognition that deserves special attention because of its wide applicability in unmanned security monitoring systems, internet video filtration, etc. In this work, we
Externí odkaz:
http://arxiv.org/abs/2102.10590