Aquaponic systems require reliable forecasting of water quality parameters to support proactive monitoring and maintain suitable conditions for aquatic organisms. This study investigates Transformer-based deep learning for multi-step, multi-target water quality forecasting using multivariate sensor measurements from aq...
M. A. Bailiche, H. Kheddar, Mounir Bouhedda et al.· Water· 0 citations
TAWJEEH is introduced, a novel hybrid framework that integrates deep reinforcement learning, classical heuristics, and cellular vehicle-to-everything communications for time-dependent MDCVRP optimization and proves to be a robust, scalable, and computationally efficient solution.
Yacine Harkat, Mustapha Hemis, El-sedik Lamini et al.· Transportation Research Reco...· 0 citations
A neuro-symbolic framework specifically designed for robust DDoS detection in these resource-constrained environments by fuses a gated recurrent unit (GRU) neural network with a shallow decision tree as a symbolic component.
Mikiyas Alemayehu, Mohamed Chahine Ghanem, H. Kheddar et al.· 0 citations
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