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Md. Abdullah Al-Sufi Ridoy

Observed name: MD. Ridoy
ORCID: 0009-0003-2382-9591
Observed ORCID: 0009-0003-2382-9591
OpenAlex ID: A5116870634
Hybrid deep learning models for daily river discharge prediction: lead-time performance analysis in Mymensingh, Bangladesh
2025 · Md. Touhidul Islam, Md. Abdullah Al-Sufi Ridoy, et al. · Water Practice & Technology · 4
From short to long-term horizons: Comparative assessment of Machine Learning and Deep Learning for river stage prediction with spatial transferability analysis
2025 · Md Touhidul Islam, Md. Abdullah Al-Sufi Ridoy, et al. · Results in Engineering · 3
Enhancing Clinical Decision-Making: Comparative Evaluation of Machine Learning Models for Symptom-Based Disease Diagnosis
2025 · SK Muktadir, MD. Ridoy, et al. · 1
Towards resilient water management in deltaic Bangladesh: benchmarking an exogenous regressor-enhanced prophet framework for multi-Lag river stage forecasting
2026 · Md Touhidul Islam, Md. Abdullah Al-Sufi Ridoy, et al. · Water Policy
Spatial transferability of machine and deep learning models for reference evapotranspiration estimation: Implications for climate-smart irrigation water management in Bangladesh
2026 · Md Touhidul Islam, Md. Abdullah Al-Sufi Ridoy, et al. · H2Open Journal
Operational river stage forecasting in a data-scarce delta: prophet model performance across multiple lead times and hydrometeorological input scenarios
2026 · Md. Touhidul Islam, Md. Abdullah Al-Sufi Ridoy, et al. · Water Practice & Technology
WITHDRAWN: Impact of Lag Window Configuration on Next-Day River Water Stage Forecasting Accuracy: Comparative Evaluation of Six Machine Learning and Deep Learning Algorithms
2026 · Md Touhidul Islam, Md. Abdullah Al-Sufi Ridoy, et al. · H2Open Journal
Impact of lag window configuration on next-day river water stage forecasting accuracy: comparative evaluation of six machine learning and deep learning algorithms
2026 · Md. Touhidul Islam, Md. Abdullah Al-Sufi Ridoy, et al. · H2Open Journal
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Works count: 8
Citation count: 8
H-index: 2
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