no code implementations • 23 Sep 2023 • Abdullah Al Hasib, Ashikur Rahman, Mahpara Khabir, Md. Tanvir Rouf Shawon
This paper presents an interpretable review of various machine learning and deep learning models to predict the maintenance of aircraft engine to avoid any kind of disaster.
1 code implementation • 11 Apr 2023 • Mehedi Hasan, Moloud Abdar, Abbas Khosravi, Uwe Aickelin, Pietro Lio', Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi
In this paper, we present a systematic review of the prediction with the reject option in the context of various neural networks.
no code implementations • 4 Sep 2022 • Md Ershadul Haque, Ashikur Rahman, Iftekhar Junaeid, Samiul Ul Hoque, Manoranjan Paul
We have annotate 1500 collected data sets and propose a rice leaf disease classification and detection method based on YOLOv5 deep learning.
no code implementations • 6 May 2022 • Mehedi Hasan, Abbas Khosravi, Ibrahim Hossain, Ashikur Rahman, Saeid Nahavandi
In this study, we present a new version of the traditional dropout layer where we are able to fix the number of dropout configurations.