Tudóstér: Ghori Khawaja Moyeezullah publikációi

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feltöltött közlemény: 6 Open Access: 4
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.
    Folyóirat-mutatók:
    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.
    Folyóirat-mutatók:
    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.
    Folyóirat-mutatók:
    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.
    Folyóirat-mutatók:
    Q1 Computer Science (miscellaneous)
feltöltött közlemény: 6 Open Access: 4
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