| Issue | Title | |
| Vol 13, No 3: June 2024 | Power management system for a hybrid energy storage electric vehicle using fuzzy logic controller | Abstract PDF |
| Gouthami Eragamreddy, Sevyanaik Gopiya Naik | ||
| Vol 11, No 4: August 2022 | Power quality assessment of novel multilevel and multistring inverters for electric vehicle applications | Abstract PDF |
| Sri Krishna Kumar Sampathkumar, Dhal Pradyumna Kumar | ||
| Vol 10, No 6: December 2021 | Power quality disturbances classification using complex wavelet phasor space reconstruction and fully connected feed forward neural network | Abstract PDF |
| R. Likhitha, A. Manjunatha | ||
| Vol 2, No 1: March 2013 | Power Quality Improvement Using Unified Power Quality Conditioner Based On Particle Swarm Optimization | Abstract PDF |
| Ragavan Saravanan, P.S. Manoharan | ||
| 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 | ||
| Vol 14, No 3: June 2025 | Predicting the intention to adopt e-zakat payment services: a machine learning approach | Abstract PDF |
| Nor Hafiza Abdul Samad, Rahayu Abdul Rahman, Suraya Masrom, Norliana Omar, Haslinawati Che Hasan | ||
| Vol 9, No 4: August 2020 | Predicting the misconception of dengue disease based on the awareness survey | Abstract PDF |
| Abrar Noor Akramin Kamarudin, Zurinahni Zainol, Nur Faeza Abu Kassim | ||
| Vol 11, No 5: October 2022 | Prediction measuring local coffee production and marketing relationships coffee with big data analysis support | Abstract PDF |
| Anita Sindar Ros Maryana Sinaga, Ricky Eka Putra, Abba Suganda Girsang | ||
| Vol 8, No 3: September 2019 | Prediction of ammonia concentration in water based on microwave spectroscopy | Abstract PDF |
| S. K. Yee, S. C. J. Lim, Z. H. Liew, M. Z. N. Shaylinda, N. T. J. Ong | ||
| Vol 14, No 6: December 2025 | Prediction of asphalt performance based on plastic waste using machine learning | Abstract PDF |
| I Gusti Agung Ananda Putra, Darpan Rokade | ||
| Vol 11, No 2: April 2022 | Prediction of COVID-19 disease severity using machine learning techniques | Abstract PDF |
| Alaa H. Ahmed, Mokhaled N. A. Al-Hamadani, Ihab A. Satam | ||
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