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Ghori Khawaja Moyeezullah

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Date range:

2020-2021

2021

Ghori, K. M., Awais, M., Akmal, S. K., Imran, M., Abbasi, R. A., Szathmáry, L.: A Review on Latest Trends in Non-Technical Loss Detection.
In: CEUR Workshop Proceedings. Szerk.: Fazekas István, Hajdu András, Tómács Tibor, CEUR Workshop Proceedings, Debrecen, 131-139, 2021.

DEA Scopus

Aldabbas, A. K. A. E., Gál, Z., Ghori, K. M., Imran, M., Shoaib, M.: Deep Learning-Based Approach for Detecting Trajectory Modifications of Cassini-Huygens Spacecraft.
IEEE Access. 9, 39111-39125, 2021.

doi DEA WoS Scopus

Journal metrics:

Q1 Computer Science (miscellaneous)

Q1 Materials Science (miscellaneous)

Q1 Engineering (miscellaneous)

2020

Ghori, K. M., Abbasi, R. A., Awais, M., Imran, M., Ullah, A., Szathmáry, L.: Impact of Feature Selection on Non-Technical Loss Detection.
In: 6th Conference on Data Science and Machine Learning Applications, IEEE, Piscataway, 19-24, 2020. ISBN: 9781728127460

doi DEA Scopus

Ghori, K. M., Abbasi, R. A., Awais, M., Imran, M., Ullah, A., Szathmáry, L.: Performance Analysis of Different Types of Machine Learning Classifiers for Non-Technical Loss Detection.
IEEE Access. 8, 16033-16048, 2020.

doi DEA WoS Scopus

Journal metrics:

Q1 Computer Science (miscellaneous)

Q1 Engineering (miscellaneous)

Q2 Materials Science (miscellaneous)

Ghori, K. M., Imran, M., Nawaz, A., Abbasi, R. A., Ullah, A., Szathmáry, L.: Performance analysis of machine learning classifiers for non-technical loss detection.
Ambient Intell. Humaniz. Comput. [Epub ahead of print], 1-16, 2020.

doi DEA WoS Scopus

Journal metrics:

Q1 Computer Science (miscellaneous)