Items where Author is "Ahmad Fakhri, Ab Nasir"

Conference or Workshop Item

Kai Xuan, Kelvin Liew and Bhuiyan, Mohaiminul Islam and Nur Shazwani, Kamarudin and Ahmad Fakhri, Ab Nasir and Muhammad Zulfahmi, Toh Abdullah@ Toh Chin Lai (2023) COVID-19 fake news detection model on social media data using machine learning techniques. In: 8th International Conference on Software Engineering and Computer Systems, ICSECS 2023 , 25-27 August 2023 , Penang. pp. 28-34. (192961). ISBN 979-835031093-1

Muhamad Aiman, Ibrahim and Nur Hafieza, Ismail and Nur Shazwani, Kamarudin and Nur Syafiqah, Mohd Nafis and Ahmad Fakhri, Ab Nasir (2023) Identifying PTSD symptoms using machine learning techniques on social media. In: 8th International Conference on Software Engineering and Computer Systems, ICSECS 2023 , 25-27 August 2023 , Penang. pp. 392-395. (192961). ISBN 979-835031093-1

Nurul Afiqah, Zainal and Muhammad Aizzat, Zakaria and Baarath, Kunjunni and Abdul Majeed, Anwar P. P. and Ahmad Fakhri, Ab Nasir and Papaioannou, Georgios (2022) Normal forces effects of a two in-wheel electric vehicle towards the human body. In: Lecture Notes in Electrical Engineering; Innovative Manufacturing, Mechatronics and Materials Forum, iM3F 2020 , 6 August 2020 , Gambang, Kuantan. pp. 693-701., 730 (262829). ISSN 1876-1100 ISBN 978-981334596-6

Kai, Gavin Lim Jiann and Ahmad Fakhri, Ab Nasir and Anwar, P. P. Abdul Majeed and Mohd Azraai, Mohd Razman and Ismail, Mohd Khairuddin and Li, Lim Thai (2022) The classification of impact signal of 6 DOF cobot by means of machine learning model. In: Lecture Notes in Electrical Engineering; Innovative Manufacturing, Mechatronics and Materials Forum, iM3F 2021 , 20 September 2021 , Gambang. 553- 560., 900 (277979). ISSN 1876-1100 ISBN 978-981192094-3

Farhan Nabil, Mohd Noor and Wan Hasbullah, Mohd Isa and Ismail, Mohd Khairuddin and Mohd Azraai, Mohd Razman and Musa, Rabiu Muazu and Ahmad Fakhri, Ab Nasir and Abdul Majeed, Anwar P. P. (2022) The diagnosis of diabetic retinopathy : An evaluation of different classifiers with the inception V3 model as a feature extractor. In: Lecture Notes in Networks and Systems; 9th International Conference on Robot Intelligence Technology and Applications, RiTA 2021 , 16-17 December 2021 , Daejeon. pp. 392-397., 429 LNNS (276219). ISSN 2367-3370 ISBN 978-303097671-2