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Andrea D?Ambrosio and Roberto Furfaro
This paper demonstrates the utilization of Pontryagin Neural Networks (PoNNs) to acquire control strategies for achieving fuel-optimal trajectories. PoNNs, a subtype of Physics-Informed Neural Networks (PINNs), are tailored for solving optimal control pr...
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Pornrawee Tatit, Kiki Adhinugraha and David Taniar
Using spatial data in mobile applications has grown significantly, thereby empowering users to explore locations, navigate unfamiliar areas, find transportation routes, employ geomarketing strategies, and model environmental factors. Spatial databases ar...
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Andrea E. Copping, Daniel J. Hasselman, Charles W. Bangley, Joel Culina and Max Carcas
Commercial development of tidal stream energy is hampered by technical and financial challenges, and impeded by uncertainty about potential environmental effects that drive environmental risk assessments and permitting (consenting) processes. The effect ...
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Jose Rodrigo, Luis Sanchez de Leon, Jose L. Montañes and Jose M. Vega
A new gradient-like methodology has been developed for aeroengine diagnosis, determining the engine health condition, which is defined by the engine degradation from an undegraded state and uses measurements at various sensors distributed along the engin...
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Eren Duman, Mehmet S. Aktas and Ezgi Yahsi
In today?s financial landscape, traditional banking institutions rely extensively on customers? historical financial data to evaluate their eligibility for loan approvals. While these decision support systems offer predictive accuracy for established cus...
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