Ali Elsadai

Univerzitet Singidunum

Biografija

Ali Elsadai je rođen 20.02.1996. u Misurati, Libija.

Obrazovanje
Doktorske studije
2019 – 2021
Univerzitet Singidunum
Napredni Sistemi Zaštite
Master studije
2018 – 2018
Univerzitet Singidunum
Savremene informacione tehnologije
Osnovne studije
2014 – 2018
Univerzitet Singidunum
Informatika i računarstvo
Srednja škola
2011 – 2014
Ahmed Al-Bahlul
Tehničke Nauke
Bibliografija
Radovi u časopisima
  • Cloud spot instance price forecasting multi-headed models tuned using modified PSO
    2024
    M. Salb, L. Jovanovic, A. El-sadai, N. Bacanin, V. Simic, D. Pamucar, M. Zivkovic, Cloud spot instance price forecasting multi-headed models tuned using modified PSO, Journal of King Saud University - Science, No. 103473, Oct, 2024
    Otvori
  • New Approach for Fingerprint Recognition Based on Stylometric Features with Blockchain and Cancellable Biometric Aspects
    2022
    A. El-sadai, S. Adamović, М. Шарац, M. Saračević, S. Sharma, New Approach for Fingerprint Recognition Based on Stylometric Features with Blockchain and Cancellable Biometric Aspects, MULTIMEDIA TOOLS AND APPLICATIONS, pp. 1 - 14, Jul, 2022
    Otvori
Radovi na konferencijama
  • Decomposition aided cloud load forecasting with optimized long-short term memory networks
    2023
    2023 16th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)
    N. Bacanin, L. Jovanovic, M. Zivkovic, M. Salb, A. Elsadai, M. Sarac, Decomposition aided cloud load forecasting with optimized long-short term memory networks, 2023 16th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS), IEEE, Nis, Serbia, pp. 191 - 194, Oct, 2023
    Otvori
  • Comparative Analysis of the Impact of Server Operating Systems on Web Site Performance
    2021
    Sinteza 2021
    P. Jakić, A. El-sadai, M. Tair, Comparative Analysis of the Impact of Server Operating Systems on Web Site Performance, Sinteza 2021 - International Scientific Conference оn Information Technology аnd Data Related Research, pp. 180 - 186, Jun, 2021
    Otvori
  • Cryptocurrency Forecasting Using Optimized Support Vector Machine with Sine Cosine Metaheuristics Algorithm
    2021
    Sinteza 2021
    M. Salb, A. El-sadai, M. Živković, N. Bačanin Džakula, Cryptocurrency Forecasting Using Optimized Support Vector Machine with Sine Cosine Metaheuristics Algorithm, Sinteza 2021 - International Scientific Conference on Information Technology and Data Related Research, pp. 315 - 321, Jun, 2021
  • The Evaluation of The Technical Quality of Web Sites With Contents in Arabic and Serbian Languages
    2019
    Sinteza 2019
    A. Elsadai, M. Tair, N. Savanović, The Evaluation of The Technical Quality of Web Sites With Contents in Arabic and Serbian Languages, Proceedings of the Sinteza 2019 International Scientific Conference on Information Technology and Data Related Research, pp. 351 - 359, Apr, 2019
    Otvori
  • The Overview of Intrusion Detection System Methods and Techniques
    2019
    Sinteza 2019
    A. Elsadai, J. Ibrahim, F. Hajjaj, P. Jakić, The Overview of Intrusion Detection System Methods and Techniques, Proceedings of the Sinteza 2019 International Scientific Conference on Information Technology and Data Related Research, pp. 155 - 161, Apr, 2019
    Otvori
Ostali radovi
  • Cloud Computing Load Forecasting by Using Bidirectional Long Short-Term Memory Neural Network, Chapter in LNNS Lecture Notes in Networks and Systems: ICICNIS 2023: IoT Based Control Networks and Intelligent Systems, Springer, volume 789
    2023
    M. Salb, A. El-sadai, L. Jovanovic, M. Zivkovic, N. Bacanin, N. Budimirovic, Cloud Computing Load Forecasting by Using Bidirectional Long Short-Term Memory Neural Network, Chapter in LNNS Lecture Notes in Networks and Systems: ICICNIS 2023: IoT Based Control Networks and Intelligent Systems, Springer, volume 789, LNNS Lecture Notes in Networks and Systems: ICICNIS 2023: IoT Based Control Networks and Intelligent Systems, volume 789, pp. 667 - 682, Springer, Singapore, Bengaluru, India, Nov, 2023
    Otvori
  • Training Logistic Regression Model by Enhanced Moth Flame Optimizer for Spam Email Classification, Chapter in LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICCNCT 2022: Computer Networks and Inventive Communication Technologies, Springer, volume 141
    2022
    M. Salb, L. Jovanovic, M. Zivkovic, E. Tuba, A. El-sadai, N. Bacanin, Training Logistic Regression Model by Enhanced Moth Flame Optimizer for Spam Email Classification, Chapter in LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICCNCT 2022: Computer Networks and Inventive Communication Technologies, Springer, volume 141, LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICCNCT 2022: Computer Networks and Inventive Communication Technologies, volume 141, pp. 753 - 768, Springer, Singapore, Coimbatore, India, Oct, 2022
    Otvori