Autori: Abouhawwash Mohamed
| Naslov | Blockchain-enabled K-harmonic framework for industrial IoT-based systems (Article) |
| Autori | Baalamurugan KM Prabu P Bacanin Nebojsa Venkatachalam K Askar SS Abouhawwash Mohamed |
| Info | SCIENTIFIC REPORTS, (2023), vol. 13 br. 1, str. - |
| Projekat | King Saud University, Riyadh, Saudi Arabia |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa |
| Naslov | Artificial Intelligence and Blockchain Technology Enabling Sustainable and Smart Infrastructure (Editorial Material) |
| Autori | Kandasamy Venkatachalam Abouhawwash Mohamed Bacanin Nebojsa |
| Info | ACTA INFORMATICA PRAGENSIA, (2022), vol. 11 br. 3, str. 290-292 |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa |
| Naslov | Novel chaotic oppositional fruit fly optimization algorithm for feature selection applied on COVID 19 patients' health prediction (Article) |
| Autori | Bacanin Nebojsa Budimirovic Nebojsa Venkatachalam K Strumberger Ivana Alrasheedi Adel Fahad Abouhawwash Mohamed |
| Info | PLOS ONE, (2022), vol. 17 br. 10, str. - |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa |
| Naslov | Modified firefly algorithm for workflow scheduling in cloud-edge environment (Article) |
| Autori | Bacanin Nebojsa Zivkovic Miodrag Z Bezdan Timea Venkatachalam K Abouhawwash Mohamed |
| Info | NEURAL COMPUTING & APPLICATIONS, (2022), vol. 34 br. 11, str. 9043-9068 |
| Projekat | Ministry of Education, Science and Technological Development, Serbia [III-44006] |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa Citati: ISI/Web of Science Scopus |
| Naslov | Artificial Neural Networks Hidden Unit and Weight Connection Optimization by Quasi-Refection-Based Learning Artificial Bee Colony Algorithm (Article) |
| Autori | Bacanin Nebojsa Bezdan Timea Venkatachalam K Zivkovic Miodrag Z Strumberger Ivana Abouhawwash Mohamed Ahmed Abeer B |
| Info | IEEE ACCESS, (2021), vol. 9 br. , str. 169135-169155 |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa Citati: ISI/Web of Science Scopus |
| Naslov | Sentimental Analysis of COVID-19 Related Messages in Social Networks by Involving an N-Gram Stacked Autoencoder Integrated in an Ensemble Learning Scheme (Article) |
| Autori | Kandasamy Venkatachalam Trojovsky Pavel Al Machot Fadi Kyamakya Kyandoghere Bacanin Nebojsa Askar Sameh Abouhawwash Mohamed |
| Info | SENSORS, (2021), vol. 21 br. 22, str. - |
| Projekat | King Saud University, Riyadh, Saudi ArabiaKing Saud University [RSP-2021/167] |
| Ispravka | ISI/Web of Science Članak Elečas Rang časopisa Citati: ISI/Web of Science Scopus |
