eNauka - pregled
Pregled prema Autor M. Abouhawwash
Prikaz rezultata 1 do 8 od 8
| Godina | Naslov | Autor(i) | Tip rezultata | Mp-kat. |
|---|---|---|---|---|
| 2023 | A novel firefly algorithm approach for efficient feature selection with COVID-19 dataset | N. Bacanin   ; K. Venkatachalam; T. Bezdan ; M. Zivkovic ; M. Abouhawwash | Article | 21M21 |
| 2021 | Artificial Neural Networks Hidden Unit and Weight Connection Optimization by Quasi-Refection-Based Learning Artificial Bee Colony Algorithm | N. Bacanin ; T. Bezdan ; K. Venkatachalam; M. Zivkovic ; I. Strumberger ; M. Abouhawwash; A. Ahmed | Naučni članak | 21M21 - Vodeći međunarodni časopis kategorije M21 |
| 2023 | Blockchain-enabled K-harmonic framework for industrial IoT-based systems | K. Baalamurugan; Nebojsa Bacanin ; K. Venkatachalam; S. Askar; M. Abouhawwash | Naučni članak | 21aM21a - Vodeći međunarodni časopis kategorije M21a |
| 2025 | Exploring artificial intelligence potential in solar energy production forecasting: Methodology based on modified PSO optimized attention augmented recurrent networks | L. Jovanovic ; N. Bacanin ; A. Petrovic ; M. Zivkovic ; M. Antonijevic ; V. Gajic ; M. Mohamed Elsayed; M. Abouhawwash | Article | 21aM21a |
| 2022 | Modified firefly algorithm for workflow scheduling in cloud-edge environment | N. Bacanin ; M. Zivkovic ; T. Bezdan ; K. Venkatachalam; M. Abouhawwash | Article | 21M21 |
| 2022 | Novel chaotic oppositional fruit fly optimization algorithm for feature selection applied on COVID 19 patients’ health prediction | Nebojsa Bacanin ; N. Budimirovic; Ivana Strumberger ; A. Adel Fahad Alrasheed; M. Abouhawwash | Article | 21M21 |
| 2023 | Quasi-reflection learning arithmetic optimization algorithm firefly search for feature selection | N. Bacanin ; N. Budimirovic; K. Venkatachalam; H. Shaker Jassim; M. Zivkovic ; S.S. Askar; M. Abouhawwash | Article | 21M21 |
| 2021 | Sentimental Analysis of COVID-19 Related Messages in Social Networks by Involving an N-Gram Stacked Autoencoder Integrated in an Ensemble Learning Scheme | V. Kandasamy; P. Trojovský; F. Machot; K. Kyamakya; Nebojsa Bacanin ; S. Askar; M. Abouhawwash | Article | 21M21 |