Výsledky vyhledávání - "M. Z. Baharuddin"

Object Detection Model Training Framework for Very Small Datasets Applied to Outdoor Industrial Structures

Autor: M. Z. Baharuddin, D. N. T. How, K. S. M. Sahari, A. Z. Abas, M. K. Ramlee

Publikováno v: Advances in Visual Informatics ISBN: 9783030902346

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e45b311e09269995bc94f41a9fef00eb
https://doi.org/10.1007/978-3-030-90235-3_47

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Development of circularly polarized synthetic aperture radar on-board UAV JX-1

Autor: J. Tetuko S. S., V.C. Koo, T. S. Lim, T. Kawai, T. Ebinuma, Y. Izumi, M. Z. Baharuddin, S. Gao, K. Ito

Publikováno v: International Journal of Remote Sensing. 38:2745-2756

We developed L band frequency 1.275 GHz circularly polarized synthetic aperture radar circularly polarized SAR on-board unmanned aerial vehicle UAV. This paper explains the configuration of system, antenna, and car-based experiment of circularly pola

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::24795ff1f3b8921d2fb71437ca4bede4
https://doi.org/10.1080/01431161.2016.1275057

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Small-Scale Deep Network for DCT-Based Images Classification

Autor: K. S. Z. Tan, Norziana Jamil, M. Z. Baharuddin, Thomas Wei Min Ooi, S. D. Chen, B. Borhanuddin

Publikováno v: 2019 4th International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE).

The need to acquire high performance deep neural network models is a research trend in recent years. Many examples have shown that achieving high validation accuracies require a very large number of parameters in most cases and therefore, the space u

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3bbb900fb37bc314c4394bb151856662
https://doi.org/10.1109/icraie47735.2019.9037777

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Implementation of Graduate Exit Survey Using Moodle

Autor: S. M. Goh, C. F. Chau, M. Z. Baharuddin, I. Zainal Abidin

Publikováno v: International Journal of Asian Social Science. 4(6):705-713

This paper offers the details of our experience in using and integrating Moodle into our learning system. Moodle is widely used as an alternative way of medium of instruction in UNITEN and it has the largest group of users within the College of Engin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______645::38d82da7e9e16f8ede1c4d1573738823
http://www.aessweb.com/journals/5007/June2014

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