Items where Author is "Mohd Zamri, Ibrahim"

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Number of items: 29.

Article

Pratikno, Heri and Mohd Zamri, Ibrahim and Jusak, Jusak (2024) A novel women's ovulation prediction through salivary ferning using the box counting and deep learning. Bulletin of Electrical Engineering and Informatics, 13 (2). pp. 996-1006. ISSN 2089-3191 (Print); 2302-9285 (Online). (Published)

Yong, Ericson and Mohamad Heerwan, Peeie and Abdullah, Zulkifli and Muhammad Izhar, Ishak and Mohd Zamri, Ibrahim and Muhammad Aizzat, Zakaria and Intan Suhana, Mohd Razelan and Ahmad Fakhri, Ab. Nasir and Zulhaidi, Mohd Jawi (2024) Investigation of the Vehicle Driving Trajectory During Turning at Intersectional Roads Using Deep Learning Model. Automotive Experiences (AE), 7 (1). pp. 63-76. ISSN 2615-6636. (Published)

Siddique, Md. Nurul Islam and Aina, Kamil and Mohd Zamri, Ibrahim and Noraaini, Ali and Nazaitulshila, Rasit and Shahrul, Ismail and Zaied, Khalid and Wan Sani, Wan Nik (2023) The co-production of hydrogen and methane from dark fermentation of mixed palm oil mill effluent and aquaculture wastewater : Gompertz modelling and sludge recovery. Asian Journal of Chemistry, 35 (4). pp. 1031-1036. ISSN 0970-7077. (Published)

Noor Jannah, Zakaria and Mohd Ibrahim, Shapiai and Rasli, Abd Ghani and Mohd Najib, Mohd Yassin and Mohd Zamri, Ibrahim and Nurbaiti, Wahid (2023) Lane detection in autonomous vehicles : A systematic review. IEEE Access, 11. pp. 3729-3765. ISSN 2169-3536. (Published)

Muhammad Salihin, Saealal and Mohd Zamri, Ibrahim and Marlina, Yakno and Nurul Wahidah, Arshad (2023) Three-Dimensional Convolutional Approaches for the Verification of Deepfake Videos: The Effect of Image Depth Size on Authentication Performance. Journal of Advances in Information Technology, 14 (3). pp. 488-494. ISSN 1798-2340. (Published)

Batool, Uzma and Mohd Ibrahim, Shapiai and Mostafa, Salama A. and Mohd Zamri, Ibrahim (2023) An attention-augmented convolutional neural network with focal loss for mixed-type wafer defect classification. IEEE Access, 11. 108891 -108905. ISSN 2169-3536. (Published)

Madkour, Dina M. and Mohd Ibrahim, Shapiai and Shaza Eva, Mohamad and Aly, Hesham Hamdy and Zool Hilmi, Ismail and Mohd Zamri, Ibrahim (2023) A systematic review of deep learning microalgae classification and detection. IEEE Access, 11. pp. 57529-57555. ISSN 2169-3536. (Published)

Wan Nur Azhani, Wan Samsudin and Mohd Harizan, Zul and Mohd Zamri, Ibrahim and Rohana, Abdul Karim (2022) Kelulut honey-filled pots detection using image processing based techniques. Indonesian Journal of Electrical Engineering and Computer Science, 28 (2). pp. 1028-1036. ISSN 2502-4752. (Published)

Siddique, Md. Nurul Islam and Zaied, Khalid and Mohd Zamri, Ibrahim and Wb, Wan Nik and Noraaini, Ali and Nazaitulshila, Rasit (2022) Kinetic modeling of peroxydisulfate pre-treatment of algae slurry (Pasir Gudang, Malaysia) for increasing methane generation from anaerobic digestion : Fertilizer recovery. Asian Journal of Chemistry, 34 (10). pp. 2725-2731. ISSN 0970-7077. (Published)

Muhammad Salihin, Saealal and Mohd Zamri, Ibrahim and Mulvaney, D. J. and Mohd Ibrahim, Shapiai and Norasyikin, Fadilah (2022) Using cascade CNN-LSTM-FCNs to identify AI-altered video based on eye state sequence. PLoS ONE, 17 (12). ISSN 1932-6203. (Published)

Pratikno, Heri and Mohd Zamri, Ibrahim and Jusak, . (2022) A novel fern-like lines detection using a hybrid of pre-trained convolutional neural network model and Frangi filter. Telkomnika (Telecommunication Computing Electronics and Control), 20 (3). pp. 607-620. ISSN 1693-6930. (Published)

Siddique, Md. Nurul Islam and Zaied, Khalid and Mohd Zamri, Ibrahim (2020) Effect of additional nutrients on Bio-methane production from anaerobic digestion of farming waste: Feasibility & Fertilizer recovery. Journal of Environmental Chemical Engineering, 8 (1). pp. 1-23. ISSN 2213-3437. (Published)

Bulletin

Mohd Zamri, Ibrahim (2009) “Universal Qibla and Prayer Time Finder”. CREATE . p. 29. ISSN 1823-7487

Conference or Workshop Item

Muhammad Salihin, Saealal and Mohd Zamri, Ibrahim and Mohd Ibrahim, Shapiai and Norasyikin, Fadilah (2023) In-The-Wild deepfake detection using adaptable CNN models with visual class activation mapping for improved accuracy. In: 2023 5th International Conference on Computer Communication and the Internet, ICCCI 2023 , 23-25 June 2023 , Fujisawa. pp. 9-14.. ISBN 979-835032695-6 (Published)

Poo, Jeckey Ng Kah and Saealal, Muhammad Salihin and Mohd Zamri, Ibrahim and Marlina, Yakno (2023) Leveraging u-net architecture for accurate localization in brain tumor segmentation. In: Proceeding - IEEE 9th Information Technology International Seminar, ITIS 2023. 9th IEEE Information Technology International Seminar, ITIS 2023 , 18 - 20 October 2023 , Batu Malang. pp. 1-6. (197293). ISBN 979-835030683-5 (Published)

Marlina, Yakno and Junita, Mohamad-Saleh and Mohd Zamri, Ibrahim (2022) Dorsal hand vein segmentation using Vein-Generative Adversarial Network (V-GAN) Model. In: Lecture Notes in Electrical Engineering; 11th International Conference on Robotics, Vision, Signal Processing and Power Applications, RoViSP 2021 , 5-6 April 2021 , Virtual, Online. pp. 585-591., 829 LNEE (272139). ISSN 1876-1100 ISBN 978-981168128-8 (Published)

Afiq Ikhwan, Mohd Fauzi and Mohd Zamri, Ibrahim and Muhammad Salihin, Saealal (2022) Estimation of volume and weight of apple by using 2D contactless computer vision measuring method. In: International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022 , 16-18 November 2022 , Male. pp. 1-6. (185686). ISBN 978-166547095-7 (Published)

Shun, Cheang Chi and Mohd Zamri, Ibrahim and Ikhwan Hafiz, Muhamad (2022) Human behaviors classification using deep learning technique. In: Lecture Notes in Electrical Engineering; 6th International Conference on Electrical, Control and Computer Engineering, InECCE 2021 , 23 August 2021 , Kuantan, Pahang. pp. 867-881., 842 (274719). ISSN 1876-1100 ISBN 978-981168689-4 (Published)

Fatin Nur Amalina, Zainol and Mohd Zamri, Ibrahim (2022) Image approach to english digits recognition using deep learning. In: IET Conference Proceedings. 2022 Engineering Technology International Conference, ETIC 2022 , 7 - 8 September 2022 , Kuantan, Virtual. pp. 6-11., 2022 (22). ISSN 2732-4494 ISBN 978-183953782-0 (Published)

Heri, Pratikno and Mohd Zamri, Ibrahim (2022) Image segmentation of women’s salivary ferning patterns using harmony frangi filter. In: Lecture Notes in Electrical Engineering; 5th International Conference on Electrical, Control and Computer Engineering, InECCE 2019 , 29 July 2019 , Kuantan. pp. 605-622., 632. ISSN 1876-1100 ISBN 978-981152316-8 (Published)

Fatin Nur Amalina, Zainol and Mohd Zamri, Ibrahim (2022) Implementation of artificial neural network to recognize numbers from voice. In: Lecture Notes in Electrical Engineering. 6th International Conference on Electrical, Control and Computer Engineering, InECCE 2021 , 23 August 2021 , Kuantan. pp. 895-904., 842. ISSN 1876-1100 ISBN 978-981168689-4 (Published)

Fatin Nur Amalina, Zainol and Mohd Zamri, Ibrahim (2022) Implementation of artificial neural network to recognize numbers from voice. In: Lecture Notes in Electrical Engineering; 6th International Conference on Electrical, Control and Computer Engineering, InECCE 2021 , 23 August 2021 , Kuantan, Pahang. pp. 895-904., 842 (274719). ISSN 1876-1100 ISBN 978-981168689-4 (Published)

Pugalenthy, Kuken Raj and Mohd Zamri, Ibrahim and Ahmad Afif, Mohd Faudzi and Mohd Rizal, Othman (2022) Malaysian vehicle license plate recognition using deep learning and computer vision. In: Lecture Notes in Electrical Engineering; 6th International Conference on Electrical, Control and Computer Engineering, InECCE 2021 , 23 August 2021 , Kuantan, Pahang. pp. 1011-1023., 842 (274719). ISSN 1876-1100 ISBN 978-981168689-4 (Published)

Nurul Wahidah, Arshad and Mohd Zamri, Ibrahim and Rohana, Abdul Karim and Yasmin, Abdul Wahab and Nor Farizan, Zakaria and Tuan Sidek, Tuan Muda (2022) Signal-based feature extraction for makhraj emission point classification. In: IET Conference Proceedings. 2022 Engineering Technology International Conference, ETIC 2022 , 7 - 8 September 2022 , Kuantan, Virtual. pp. 19-25., 2022 (22). ISSN 2732-4494 ISBN 978-183953782-0 (Published)

Norasyikin, Fadilah and Mohd Zamri, Ibrahim and Rosdiyana, Samad (2022) Vision-based toddler physical activity recognition using deep learning. In: IET Conference Proceedings. 2022 Engineering Technology International Conference, ETIC 2022 , 7 - 8 September 2022 , Kuantan, Virtual. pp. 377-383., 2022 (22). ISSN 2732-4494 ISBN 978-183953782-0 (Published)

Wan Nur Azhani, Wan Samsudin and Mohd Harizan, Zul and Mohd Zamri, Ibrahim and Rohana, Abdul Karim and Wan Norhamidah, Wan Ibrahim (2022) Zebrafish larvae locomotor activity detection using Convolutional NeuraL Network (CNN). In: IET Conference Proceedings. 2022 Engineering Technology International Conference, ETIC 2022 , 7 - 8 September 2022 , Kuantan, Virtual. pp. 130-135., 2022 (22). ISSN 2732-4494 ISBN 978-183953782-0 (Published)

Wan Nur Azhani, Wan Samsudin and Wai Fook, Wan and Mohd Zamri, Ibrahim and Kamarul Hawari, Ghazali and Ahmad Afif, Mohd Faudzi and Rohana, Abdul Karim (2021) Electronic components detection and recognition using deep learning for learning purpose. In: Creation, Innovation, Technology & Research Exposition (CITREX) 2021 , 2021 , Virtually hosted by Universiti Malaysia Pahang. p. 1.. (Published)

Mohd Hisyam, Mohd Ariff and Imran Saifullah, Ishak and Mohd Zamri, Ibrahim and Mohammad Fadhil, Abas and Rahimah, Jusoh and Shakib, Mohammed Nazmus and Waheb Abdul Jabbar, Shaif Abdullah and Razali, Muda (2021) An ultra high frequency 921 mhz array antenna for rfid reader. In: Creation, Innovation, Technology & Research Exposition (CITREX) 2021 , 2021 , Virtually hosted by Universiti Malaysia Pahang. p. 1.. (Published)

Thesis

Mohd Zamri, Ibrahim (2014) A novel lip geometry approach for audio-visual speech recognition. PhD thesis, Loughborough University (Contributors, UNSPECIFIED: UNSPECIFIED).

This list was generated on Wed Dec 18 13:14:11 2024 +08.