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Article

Bari, Bifta Sama and Islam, Md Nahidul and Rashid, Mamunur and Hasan, Md Jahid and Mohd Azraai, Mohd Razman and Musa, Rabiu Muazu and Ahmad Fakhri, Ab. Nasir and Majeed, Anwar P.P. Abdul (2021) A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework. PeerJ Computer Science, 7 (e432). pp. 1-27. ISSN 2376-5992. (Published)

Islam, Md Shofiqul and Sultana, Sunjida and Farid, Fahmid Al and Islam, Md Nahidul and Rashid, Mamunur and Bari, Bifta Sama and Noramiza, Hashim and Mohd Nizam, Husen (2022) Multimodal hybrid deep learning approach to detect tomato leaf disease using attention based dilated convolution feature extractor with logistic regression classification. Sensors, 22 (6079). pp. 1-31. ISSN 1424-8220. (Published)

Conference or Workshop Item

Farhan Anis, Azhar and Mahfuzah, Mustafa and Norizam, Sulaiman and Rashid, Mamunur and Bari, Bifta Sama and Islam, Md Nahidul and Hasan, Md Jahid and Nur Fahriza, Mohd Ali (2022) The Classification of Electrooculogram (EOG) through the application of Linear Discriminant Analysis (LDA) of selected time-domain signals. In: Lecture Notes in Electrical Engineering; Innovative Manufacturing, Mechatronics and Materials Forum, iM3F 2020 , 6 August 2020 , Gambang, Kuantan. pp. 583-591., 730 (262829). ISSN 1876-1100 ISBN 978-981334596-6 (Published)

Islam, Md Nahidul and Ahmed, Fahim and Ahammed, Md Tanvir and Rashid, Mamunur and Bari, Bifta Sama (2022) Rice disease identification through leaf image and iot based smart rice fieldmonitoring system. In: Lecture Notes in Electrical Engineering; Innovative Manufacturing, Mechatronics and Materials Forum, iM3F 2021 , 20 September 2021 , Gambang. pp. 529-539., 900 (277979). ISSN 1876-1100 ISBN 978-981192094-3 (Published)

Norizam, Sulaiman and Nuraini, Ismail and Md Nahidul, Islam and Rashid, Mamunur and Mohd Shawal, Jadin and Mahfuzah, Mustafa and Fahmi, Samsuri (2022) Development of EEG-based system to identify student learning attention ability. In: Lecture Notes in Electrical Engineering; 12th National Technical Seminar on Unmanned System Technology, NUSYS 2020 , 24-25 November 2020 , Virtual, Online. pp. 627-639., 770 (266059). ISSN 1876-1100 ISBN 978-981162405-6 (Published)