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Physics-informed neural networks with rational weighting for treating discontinuities in water flow prediction over irregular geometries
Physics-informed neural networks with rational weighting for treating discontinuities in water flow prediction over irregular geometries
Power System Controlled Islanding Using Directed Motif Based Spectral Clustering: A Novel Complex Network Perspective
Physics-informed neural networks with rational weighting for treating discontinuities in water flow prediction over irregular geometries
Should I stay or move? Quantifying landscape of fear to enhance environmental management of road networks in a highly transformed landscape
Should I stay or move? Quantifying landscape of fear to enhance environmental management of road networks in a highly transformed landscape
Enhancing power grid cybersecurity against FDI attacks via deep Q-network-based moving target defense
A hierarchical deep learning-based recurrent convolutional neural network for robust voltage and frequency operation management in microgrids
Enhanced Fault Detection and Classification in AC Microgrids Through a Combination of Data Processing Techniques and Deep Neural Networks
Research interests:
Biography 43
Exprience
Human trajectory forecasting
Efficient heavy metal ion removal by triazinyl-β-cyclodextrin functionalized iron nanoparticles
Use of PVA/α-MnO 2-stearic acid nanocomposite films prepared by sonochemical method as a potential sorbent for adsorption of Cd (II) ion from aqueous solution