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Ghori Khawaja Moyeezullah

Ghori Khawaja Moyeezullah

Ghori Khawaja Moyeezullah
Name: Ghori Khawaja Moyeezullah
Other profiles: MTMT

Publication list

Uploaded publications:
6
Publications in DEA:
6
OA:
4
Date range:
2020-2021
2021
  1. 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.
  2. 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.
    Journal metrics:
    Q1 Computer Science (miscellaneous)
    Q1 Engineering (miscellaneous)
    Q1 Materials Science (miscellaneous)
2020
  1. 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
  2. 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.
    Journal metrics:
    Q2 Health, Toxicology and Mutagenesis
    Q2 Pollution
    Q2 Public Health, Environmental and Occupational Health
  3. 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.
    Journal metrics:
    Q1 Computer Science (miscellaneous)
    Q1 Engineering (miscellaneous)
    Q2 Materials Science (miscellaneous)
  4. 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.
    Journal metrics:
    Q1 Computer Science (miscellaneous)
updated: 2024-03-17, 01:41

SCImago quartiles of
scientific journal articles

Number of scientific articles: 4
Q1 3 (75%)
Q2 1 (25%)
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SCImago subject areas and categories

Computer Science (3)
Computer Science (miscellaneous) (3)
Engineering (2)
Engineering (miscellaneous) (2)
Materials Science (2)
Materials Science (miscellaneous) (2)
Environmental Science (1)
Health, Toxicology and Mutagenesis (1)
Pollution (1)
Medicine (1)
Public Health, Environmental and Occupational Health (1)

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