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Faculty Agricultural Engineering and Technology Computer Science and Engineering Faculty Members Dr. Hira Lal Gope

Dr. Hira Lal Gope

Associate Professor

Ph.D. (Gifu University, Japan), MS and B.Sc. (University of Chittagong, BD)

Research interests: Machine Learning, Image Processing, Deep Learning, and Data Mining

hlgope@sau.ac.bd

hlgope@gmail.com
+8801717021275
Dept. of Computer Science and Engineering

Publication Profile

  • Hira Lal Gope, Hidekazu Fukai and Renshu Aoki, Multi-Label Classification of Defective Green Coffee Bean Images Using EfficientNet Deep Learning Model, Timorese Academic Journal of Science and Technology, 2022, Volume 5, 164-175. http://fect.untl.edu.tl/tajst_article-103-tp.html.
  • Hira Lal Gope, Hidekazu Fukai. Peaberry and normal coffee bean classification using CNN, SVM, and KNN: Their implementation in and the limitations of Raspberry Pi 3[J]. AIMS Agriculture and Food, 2022, 7(1): 149-167. doi: 10.3934/agrfood.2022010.
  • Gope, H. L., & Fukai, H. (2020). Normal and Peaberry Coffee Beans Classification from Green Coffee Bean Images Using Convolutional Neural Networks and Support Vector Machine. International Journal of Computer and Information Engineering, 14(6), 189-196. https://publications.waset.org/10011255/pdf.
  • Barman, S., Gope, H. L., & Kwon, Y. K. (2020, January). A Boolean network inference from time-series gene expression data using a statistical method. In Proceedings of the International Conference on Computing Advancements (pp. 1-5). https://doi.org/10.1145/3377049.3377080
  • Ashutus Singha, Mohammad Abdul Kader, Tahmina Akter, Hira Lal Gope, Md. Abu Sayem Jiku, Md. Arifur Rahaman, Murad Ali. “Performance Evaluation of The Rubber Dam For Improving Socio-Economic Status of Rural Bangladesh”. International Journal of Biosciences. Int. J. Biosci. 14(5), 527-533, May 2019. (ISI jounal -0.53), DOI: http://dx.doi.org/10.12692/ijb/14.5.527-533
  • Hira Lal Gope, Machbah Uddin, Mohammad Aminul Islam, Ashutus Singha, Bashudeb Paul, Anupama Das and Biswajit Tarapdar. “Development of an android application of SAU in Bangladesh”. Int. J. Biosci. Vol. 14, No. 6, p. 276-281, 2019. (ISI jounal) http://dx.doi.org/10.12692/ijb/14.6.276-281
  • Barman, S., Gope, H., Islam, M. M., Hasan, M., & Salma, U. (2016). Clustering techniques for software engineering. Indonesian Journal of Electrical Engineering and Computer Science, 4(2), 465-472.
  • Uddin, M., Gope, H., Yousuf, S., Islam, D., & Islam, MK (2016). Crowd Detection in Still Images Using Combined HOG and SIFT Feature. Indonesian Journal of Electrical Engineering and Computer Science, 4 (2), 447-458.
  • Chowdhury, U. K., Gope, H. L., Faruk, M. O., & Das, S. K. (2016). The first Hyperpolarizability of 2, 5-Dimethyleaniline through the Hyper-Rayleigh Scattering Technique. Volume 3, Issue9, 2016, PP 7-13
  • Gope, H. L., Uddin, M., Barman, S., Islam, D., & Islam, M. K. (2016). Fire Detection in Still Image Using Color Model. Indonesian Journal of Electrical Engineering and Computer Science, 3(3), 618-625. DOI: 10.11591/ijeecs.v3.i2.pp618-625
  • Gope, H. L., Hasan, M. M., Barman, S., & Chowdhury, N. K. (2014). Find Real Time Passenger Information using Intelligent Transportation System (ITS). Vol. 11 No. 1, pp. 112-116
  • Pranajit Kumar Das, Hira Lal Gope (2014). “Wireless Sensor Network Technology for Agricultural Development: Challenges and Chances in Bangladesh”. International Journal of Scientific & Engineering Research, Volume 5, Issue 8, pp. 162-166.
  • Gope, H. L., Das, P. K., Islam, M. J., & Seddiqui, M. H. (2014). Medical document classification from OHSUMED dataset. IJCSN International Journal of Computer Science and Network, 3(4), 215-219.

Citation indices

  • https://scholar.google.com/citations?user=DXtNcT0AAAAJ&hl=en&oi=ao