Offshore wind farms are capital-intensive assets and remote, weather-constrained logistics systems whose availability depends jointly on component degradation, spare-part availability, vessel access, and export capacity. Existing studies typically address these dimensions separately, with vessel-routing models assuming...
A. Routray, Swagatika Dehury, Mahottak Kumar et al.· Journal of Offshore Renewabl...· 0 citations
Artificial Neural Networks (ANNs) and tree-based ensembles such as Random Forest (RF) and Extreme Gradient Boosting (XGBoost) are the two dominant families used for tabular regression in engineering informatics. The empirical literature, however, reports contradictory verdicts, on some datasets ANNs dominate, while on...
A. Routray, Soumyajeet Chakra, Anuprita Chakra et al.· International Journal Of Rec...· 0 citations
The accelerating impact of climate change on meteorological dynamics and air quality across India poses a pressing challenge for urban sustainability and public health resilience. In this study, we present a data-driven AI framework based on Bidirectional Long Short-Term Memory (BiLSTM) networks to forecast PM₂.₅ con...
Vinayak Gupta, Yajnaseni Dash, Ankush Goyal et al.· Frontiers in Climate· 0 citations
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