1 code implementation • 6 Sep 2021 • Sabbir Ahmed, Md. Bakhtiar Hasan, Tasnim Ahmed, Redwan Karim Sony, Md. Hasanul Kabir
Evaluation on tomato leaf images from the PlantVillage dataset shows that the proposed architecture achieves 99. 30% accuracy with a model size of 9. 60MB and 4. 87M floating-point operations, making it a suitable choice for real-life applications in low-end devices.
1 code implementation • International Conference on Informatics, Electronics & Vision (ICIEV) 2021 • Arowa Yasmeen, Fariha Ishrat Rahman, Sabbir Ahmed, Md. Hasanul Kabir
The proposed pipeline passes the input audio signal through a series of appropriate transformation and augmentation steps enabling the model to achieve an accuracy of 92. 08% on the curated dataset.
Ranked #1 on Voice Query Recognition on Banglish
1 code implementation • 16 Dec 2022 • Minhaz Kamal, Fairuz Shaiara, Chowdhury Mohammad Abdullah, Sabbir Ahmed, Tasnim Ahmed, Md. Hasanul Kabir
Prominent work has been done in this field focusing mainly on Latin characters.
1 code implementation • 16 Dec 2022 • Akib Mohammed Khan, Alif Ashrafee, Reeshoon Sayera, Shahriar Ivan, Sabbir Ahmed
To ensure proper knowledge representation of the kitchen environment, it is vital for kitchen robots to recognize the states of the food items that are being cooked.
1 code implementation • ICCV 2023 • Sabbir Ahmed, Abdullah Al Arafat, Mamshad Nayeem Rizve, Rahim Hossain, Zhishan Guo, Adnan Siraj Rakin
Source-free domain adaptation (SFDA) is a popular unsupervised domain adaptation method where a pre-trained model from a source domain is adapted to a target domain without accessing any source data.
no code implementations • 9 Nov 2019 • Anis Elgabli, Jihong Park, Sabbir Ahmed, Mehdi Bennis
This article proposes a communication-efficient decentralized deep learning algorithm, coined layer-wise federated group ADMM (L-FGADMM).
no code implementations • 3 Jun 2020 • Sabbir Ahmed, Uday Kamal, Md. Kamrul Hasan
However, the SOTA (SOTA) methods have been evaluated on clean and challenge-free datasets and overlooked the performance deterioration associated with different challenging conditions (CCs) that obscure the traffic images captured in the wild.
no code implementations • 5 Jun 2022 • A. B. M. Ashikur Rahman, Md. Bakhtiar Hasan, Sabbir Ahmed, Tasnim Ahmed, Md. Hamjajul Ashmafee, Mohammad Ridwan Kabir, Md. Hasanul Kabir
This paper will also serve as a compendium for researchers interested in the science behind offline BHDR, instigating the exploration of newer avenues of relevant research that may further lead to better offline recognition of Bengali handwritten digits in different application areas.
Handwritten Digit Recognition Optical Character Recognition +1
no code implementations • 8 Dec 2022 • Md. Samin Morshed, Sabbir Ahmed, Tasnim Ahmed, Muhammad Usama Islam, A. B. M. Ashikur Rahman
Accurate recognition of food items along with quality assessment is of paramount importance in the agricultural industry.
no code implementations • 18 Dec 2022 • Refaat Mohammad Alamgir, Ali Abir Shuvro, Mueeze Al Mushabbir, Mohammed Ashfaq Raiyan, Nusrat Jahan Rani, Md. Mushfiqur Rahman, Md. Hasanul Kabir, Sabbir Ahmed
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.
no code implementations • 10 Apr 2023 • Jonayet Miah, Muntasir Mamun, Md Minhazur Rahman, Md Ishtyaq Mahmud, Sabbir Ahmed, Md Hasan Bin Nasir
Our study is aimed to give decisions for small or big sports teams on whether one athlete good fit or not for a particular game with the compare several machine learning algorithms to predict human behavior and health using the data collected from mobile devices and sensors placed on patients.
no code implementations • 10 Apr 2023 • Md. Hamjajul Ashmafee, Tasnim Ahmed, Sabbir Ahmed, Md. Bakhtiar Hasan, Mst Nura Jahan, A. B. M. Ashikur Rahman
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.
no code implementations • 14 May 2023 • Ranyang Zhou, Sabbir Ahmed, Adnan Siraj Rakin, Shaahin Angizi
With deep learning deployed in many security-sensitive areas, machine learning security is becoming progressively important.