| Issue | Title | |
| Vol 15, No 2: April 2026 | Power sharing based on starfish optimization algorithm in DC microgrid | Abstract PDF |
| Widi Aribowo, Laith Abualigah, Diego Oliva, Abubakar Umar, Aliyu Sabo, Hisham A. Shehadeh | ||
| Vol 11, No 6: December 2022 | Power system contingency classification using machine learning technique | Abstract PDF |
| Sandhya Rani Gongada, Muktevi Chakravarthy, Bhukya Mangu | ||
| Vol 13, No 6: December 2024 | Power system stability and control: a comprehensive review focusing on the rotor angle case | Abstract PDF |
| Nor Syaza Farhana Mohamad Murad, Muhammad Nizam Kamarudin, Sahazati Md Rozali, Muhammad Iqbal Zakaria | ||
| Vol 15, No 1: February 2026 | Power-LSTM for smart greenhouse: a novel deep learning approach to temperature prediction in a Mexican case study | Abstract PDF |
| Salma Ait Oussous, Dauris Lail Madama, Rachid El Bouayadi, Aouatif Amine | ||
| Vol 4, No 1: March 2015 | Practical IBC using Hybrid-Mode Problems: Factoring and Discrete Logarithm | Abstract PDF |
| Chandrashekhar Meshram | ||
| Vol 10, No 2: April 2021 | Pre-convoluted neural networks for fashion classification | Abstract PDF |
| Mustafa Amer Obaid, Wesam M. Jasim | ||
| Vol 12, No 6: December 2023 | Predicating depression on Twitter using hybrid model BiLSTM-XGBOOST | Abstract PDF |
| Rula Kamil, Ayad R. Abbas | ||
| Vol 12, No 3: June 2023 | Predicting COVID-19 vaccinators based on machine learning and sentiment analysis | Abstract PDF |
| Hadab Khalid Obayes, Khaldoon Hasan Alhussayni, Saba Mohammed Hussain | ||
| Vol 11, No 1: February 2022 | Predicting death and confirmed cases of coronavirus | Abstract PDF |
| Farqad Hamid Abdulraheem, Moatasem Yaseen Al-Ridha, Raid Rafi Omar Al-Nima | ||
| Vol 14, No 2: April 2025 | Predicting demand in changing environments: a review on the use of reinforcement learning in forecasting models | Abstract PDF |
| José Rolando Neira Villar, Miguel Angel Cano Lengua | ||
| Vol 14, No 1: February 2025 | Predicting graduation in Moroccan open-access bachelors: early indicators and re-enrollment data | Abstract PDF |
| Khalid Oqaidi, Sarah Aouhassi, Khalifa Mansouri | ||
| Vol 13, No 2: April 2024 | Predicting lung cancer risk using explainable artificial intelligence | Abstract PDF |
| Shahin Shoukat Makubhai, Ganesh R. Pathak, Pankaj R. Chandre | ||
| Vol 10, No 2: April 2021 | Predicting machine failure using recurrent neural network-gated recurrent unit (RNN-GRU) through time series data | Abstract PDF |
| Zainuddin Z., P. Akhir E. A., Hasan M. H. | ||
| Vol 14, No 6: December 2025 | Predicting player skills and optimizing tactical decisions in football data analysis using machine learning methods | Abstract PDF |
| Akmaral Kassymova, Tolegen Aibatullin, Shynar Yelezhanova, Assem Konyrkhanova, Ainur Mukhanbetkaliyeva, Assemgul Tynykulova, Ulzhan Makhazhanova, Gulmira Azieva | ||
| Vol 13, No 4: August 2024 | Predicting the effects of microcredit on women’s empowerment in rural Bangladesh: using machine learning algorithms | Abstract PDF |
| Johora Akter Polin, Md. Fouad Hossain Sarker, Mst Dilruba Khanom Dolon, Nahid Hasan, Md. Mahafuzur Rahman, Zannatun Nayem Vasha | ||
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