Journal | Associate Prof. Dr. Musa Mohd Mokji

A. M. Abdu, M. M. Mokji, and U. U. Sheikh, (2020). “Automatic vegetable disease identification approach using individual lesion features,” Computers and Electronics in Agriculture, vol. 176, p. 105660.
M. A. Aliyu, M. M. M. Mokji, and U. U. U. Sheikh, (2020). “Machine learning for plant disease detection: an investigative comparison between support vector machine and deep learning,” IAES International Journal of Artificial Intelligence, vol. 9, no. 4, p. 670.
M. A. El-Khoreby, S. Abu-Bakar, M. M. Mokji, and S. N. Omar, (2020). “Vehicle Detection and Counting Using Adaptive Background Model Based on Approximate Median Filter and Triangulation Threshold Techniques,” Automatic Control and Computer Sciences, vol. 54, no. 4, pp. 346–357.
A. Alamgir, A. K. B. A’Ain, U. U. Sheikh, N. Paraman, M. M. Mokji, and I. Grout, (2019). “Multiple Controlled Antirandom Testing (MCAT) for High Fault Coverage in a Black Box Environment,” IEEE Access, vol. 7, pp. 117246–117257.
Chaw, J. K., & Mokji, M. (2017). Analysis of produce recognition system with taxonomist’s knowledge using computer vision and different classifiers. IET Image Processing, 11(3), 173-182. DOI: 10.1049/iet-ipr.2016.0381.
Munaf Rashid, S.A.R Abu Bakar, Musa Mokji. (2012). Human Emotion Recognition from Videos using Spatio-Temporal and Audio Features. International Journal of Visual Computer. Published online, 2012. Springer.
I. Ibrahim, Z. Ibrahim, K. Khalil, M.M. Mokji, S. Abdul, R. Syed, S.A.R. Abu Bakar, N. Mokhtar, W. Khairunizam. (2012). An improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images. International journal of innovative computing, information & control: IJICIC. Vol 8. p. 3239-3250.
Mahmud, M.S.A., Buyamin, S., Mokji, M.M., Abidin, M.Z. (2018). Internet of things based smart environmental monitoring for mushroom cultivation. Indonesian Journal of Electrical Engineering and Computer Science, 10(3), 847-852.
Abd, M.K.I., Buyamin, S., Abidin, M.S.Z., Mokji, M.M. (2018). Development of Automatic Mixing Process for Fertigation System in Rock Melon Cultivation. International Journal of Electrical and Computer Engineering, 8(3), 1913.
Omar, Z., Stathaki, T., Mokji, M. M., & Izhar, L. I. (2017). A hybrid Chebyshev-ICA image fusion method based on regional saliency. Telkomnika (Telecommunication Computing Electronics and Control), 15(2), 934-941. DOI: 10.12928/TELKOMNIKA.v15i2.6147.
Chaw, J. K., & Mokji, M. (2014). Agricultural products recognition system using taxonomist’s knowledge as semantic attributes. Journal of Engineering in Agriculture, Environment, and Food. Elsevier. DOI: 10.1016/j.eaef.2016.01.004.
Saad, N. M., Syed Abu Bakar, S. A. R., Muda, A. S. & Mokji, M. M. (2015). Review of Brain Lesion Detection and Classification using Neuroimaging Analysis techniques. Jurnal Teknologi. Vol 74(6), p. 73-85.
M. Goh, S.A.R. Abu-Bakar, M.M. Mokji, U.U. Sheikh. (2014). Enhanced Rotational Feature Points Matching Using Orientation Correction. Electronic Letters on Computer Vision and Image Analysis Vol. 13(1), p. 68-88.
M.Goh, Syed. A.R. Abu-Bakar, M.M. Mokji, and U.U Sheikh. (2013). Implementation and Application of Orientation Correction on SIFT and SURF Matching. International Journal of Advanced Soft Computing Application. Vol. 5(3), SCRG Publication.
Mohamad, Mohd & Abu Bakar, Syed Ab Rahman & Mokji, Musa & Khalil, Kamal & Yusof, Zulkifli & Mukred, Jameel & Ibrahim, Zuwairie & Ibrahim, Ismail. (2012). An Image Registration Technique to Enhance PCB Inspection Algorithm with Real Images. ICIC Express Letters. 6. 712-717.
Mohd Saad, S.A.R. Abu-Bakar, Sobri Muda, M. Mokji, and A.R. Abdullah. (2012). Fully Automated Region Growing Segmentation of Brain Lesion in Diffusion-weighted MRI. IAENG International Journal of Computer Science. Vol. 39(2), p. 155-164.
M.Goh, M.M.Mokji, S.A.R. Abu-Bakar. (2012). SURF Based Image Matching from Different Angle of Viewpoints using Rectification and Simplified Orientation Correction. International Science Index, Electrical and Computer Engineering Journal. Vol 6(8), 2012.

A. M. Abdu, M. M. Mokji, and U. U. Sheikh, (2020). “Automatic vegetable disease identification approach using individual lesion features,” Computers and Electronics in Agriculture, vol. 176, p. 105660.

M. A. Aliyu, M. M. M. Mokji, and U. U. U. Sheikh, (2020). “Machine learning for plant disease detection: an investigative comparison between support vector machine and deep learning,” IAES International Journal of Artificial Intelligence, vol. 9, no. 4, p. 670.

M. A. El-Khoreby, S. Abu-Bakar, M. M. Mokji, and S. N. Omar, (2020). “Vehicle Detection and Counting Using Adaptive Background Model Based on Approximate Median Filter and Triangulation Threshold Techniques,” Automatic Control and Computer Sciences, vol. 54, no. 4, pp. 346–357.

A. Alamgir, A. K. B. A’Ain, U. U. Sheikh, N. Paraman, M. M. Mokji, and I. Grout, (2019). “Multiple Controlled Antirandom Testing (MCAT) for High Fault Coverage in a Black Box Environment,” IEEE Access, vol. 7, pp. 117246–117257.

Chaw, J. K., & Mokji, M. (2017). Analysis of produce recognition system with taxonomist’s knowledge using computer vision and different classifiers. IET Image Processing, 11(3), 173-182. DOI: 10.1049/iet-ipr.2016.0381.

Munaf Rashid, S.A.R Abu Bakar, Musa Mokji. (2012). Human Emotion Recognition from Videos using Spatio-Temporal and Audio Features. International Journal of Visual Computer. Published online, 2012. Springer.

Mahmud, M.S.A., Buyamin, S., Mokji, M.M., Abidin, M.Z. (2018). Internet of things based smart environmental monitoring for mushroom cultivation. Indonesian Journal of Electrical Engineering and Computer Science, 10(3), 847-852.

Abd, M.K.I., Buyamin, S., Abidin, M.S.Z., Mokji, M.M. (2018). Development of Automatic Mixing Process for Fertigation System in Rock Melon Cultivation. International Journal of Electrical and Computer Engineering, 8(3), 1913.

Omar, Z., Stathaki, T., Mokji, M. M., & Izhar, L. I. (2017). A hybrid Chebyshev-ICA image fusion method based on regional saliency. Telkomnika (Telecommunication Computing Electronics and Control), 15(2), 934-941. DOI: 10.12928/TELKOMNIKA.v15i2.6147.

Chaw, J. K., & Mokji, M. (2014). Agricultural products recognition system using taxonomist’s knowledge as semantic attributes. Journal of Engineering in Agriculture, Environment, and Food. Elsevier. DOI: 10.1016/j.eaef.2016.01.004.

Saad, N. M., Syed Abu Bakar, S. A. R., Muda, A. S. & Mokji, M. M. (2015). Review of Brain Lesion Detection and Classification using Neuroimaging Analysis techniques. Jurnal Teknologi. Vol 74(6), p. 73-85.

M. Goh, S.A.R. Abu-Bakar, M.M. Mokji, U.U. Sheikh. (2014). Enhanced Rotational Feature Points Matching Using Orientation Correction. Electronic Letters on Computer Vision and Image Analysis Vol. 13(1), p. 68-88.

M.Goh, Syed. A.R. Abu-Bakar, M.M. Mokji, and U.U Sheikh. (2013). Implementation and Application of Orientation Correction on SIFT and SURF Matching. International Journal of Advanced Soft Computing Application. Vol. 5(3), SCRG Publication.

Mohamad, Mohd & Abu Bakar, Syed Ab Rahman & Mokji, Musa & Khalil, Kamal & Yusof, Zulkifli & Mukred, Jameel & Ibrahim, Zuwairie & Ibrahim, Ismail. (2012). An Image Registration Technique to Enhance PCB Inspection Algorithm with Real Images. ICIC Express Letters. 6. 712-717.

Mohd Saad, S.A.R. Abu-Bakar, Sobri Muda, M. Mokji, and A.R. Abdullah. (2012). Fully Automated Region Growing Segmentation of Brain Lesion in Diffusion-weighted MRI. IAENG International Journal of Computer Science. Vol. 39(2), p. 155-164.

M.Goh, M.M.Mokji, S.A.R. Abu-Bakar. (2012). SURF Based Image Matching from Different Angle of Viewpoints using Rectification and Simplified Orientation Correction. International Science Index, Electrical and Computer Engineering Journal. Vol 6(8), 2012.