Ghori Khawaja Moyeezullah
Ghori Khawaja Moyeezullah
Név: Ghori Khawaja Moyeezullah
Szakterület: informatikus
Teljes publikációs lista
Publikációs időszak:
2020-2021
2021
Ghori, K.,
Awais, M.,
Akmal, S.,
Imran, M.,
Abbasi, R.,
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.
Aldabbas, A.,
Gál, Z.,
Ghori, K.,
Imran, M.,
Shoaib, M.:
Deep Learning-Based Approach for Detecting Trajectory Modifications of Cassini-Huygens Spacecraft.
IEEE Access. 9 39111-39125, 2021.
Folyóirat-mutatók:
Q1 Computer Science (miscellaneous)
Q1 Engineering (miscellaneous)
Q1 Materials Science (miscellaneous)
2020
Ghori, K.,
Abbasi, R.,
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
Rahman, S.,
Irfan, M.,
Raza, M.,
Ghori, K.,
Yaqoob, S.,
Awais, M.:
Performance Analysis of Boosting Classifiers in Recognizing Activities of Daily Living.
Int. J. Environ. Res. Public Health. 17 (3), 1-15, 2020.
Folyóirat-mutatók:
Q2 Health, Toxicology and Mutagenesis
Q2 Pollution
Q2 Public Health, Environmental and Occupational Health
Ghori, K.,
Abbasi, R.,
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.
Folyóirat-mutatók:
Q1 Computer Science (miscellaneous)
Q1 Engineering (miscellaneous)
Q2 Materials Science (miscellaneous)
Ghori, K.,
Imran, M.,
Nawaz, A.,
Abbasi, R.,
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.
Folyóirat-mutatók:
Q1 Computer Science (miscellaneous)
frissítve: 2024-04-21, 01:40
