
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 PSO2024M. 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, 2024Otvori
- New Approach for Fingerprint Recognition Based on Stylometric Features with Blockchain and Cancellable Biometric Aspects2022A. 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, 2022Otvori
Radovi na konferencijama
- Decomposition aided cloud load forecasting with optimized long-short term memory networks20232023 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, 2023Otvori
- Comparative Analysis of the Impact of Server Operating Systems on Web Site Performance2021Sinteza 2021P. 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, 2021Otvori
- Cryptocurrency Forecasting Using Optimized Support Vector Machine with Sine Cosine Metaheuristics Algorithm2021Sinteza 2021M. 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 Languages2019Sinteza 2019A. 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, 2019Otvori
- The Overview of Intrusion Detection System Methods and Techniques2019Sinteza 2019A. 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, 2019Otvori
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 7892023M. 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, 2023Otvori
- 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 1412022M. 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, 2022Otvori











