| Issue | Title | |
| 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 | ||
| Vol 13, No 4: August 2024 | Prediction of global ionospheric TEC using attention based bidirectional long short-term memory and gated recurrent unit | Abstract PDF |
| Shivarudraiah Basavarajaiah, Raju Garudachar | ||
| Vol 11, No 2: April 2022 | Prediction of internet user satisfaction levels in Bangladesh using data mining and analysis of influential factors | Abstract PDF |
| Md. Hasan Imam Bijoy, Sumiya Alam Akhi, Md. Ali Ashraf Nayeem, Md. Mahbubur Rahman, Md. Jueal Mia | ||
| Vol 13, No 1: February 2024 | Prediction of ionospheric total electron content data using NARX neural network model | Abstract PDF |
| Nayana Shenvi, Hassanali Gulamali Virani | ||
| Vol 9, No 5: October 2020 | Prediction of land-change using machine learning for the deforestation in Paraguay | Abstract PDF |
| Max Muller, Shweta Vincent, Om Prakash Kumar | ||
| Vol 2, No 1: March 2013 | Prediction of Lead-Acid Battery Performance Parameter: An Neural Network Approach | Abstract PDF |
| E. Jensimiriam, P. Seenichamy, S. Ambalavanan | ||
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