S. Ghorashi

A quantum-inspired multi-objective learning framework for real-time sustainable aquaculture water quality prediction

The findings demonstrate that Q-AQUAOptNet provides effective predictive performance within a simulation-based framework and shows potential as a sustainability-oriented intelligent water-quality monitoring and decision support system for aquaculture applications.

Transformer-driven spatiotemporal deep learning for environmental wildfire risk assessment: spatiotemporal wildfire risk modeling

Net sustainability assessment of AI-driven data centers in the GCC: an MCDA approach framework

A Multi-Criteria Decision Analysis framework is proposed and applies to assess carbon emissions, water use, energy consumption, social impacts and governance structures across three scenarios (business-as-usual), suggesting that under the BAU high-growth scenario, modelled emissions increase substantially by 2035, whil...