Gradient estimates for positive solutions of the Laplacian with drift [PDF]
, 1999 B. J. González, E. R. Negrín
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Air–sea interaction in medicanes with atmosphere–ocean–wave coupled regional climate simulations
Quarterly Journal of the Royal Meteorological Society, EarlyView.The atmosphere–ocean–wave coupling improved storm intensity compared to standalone atmosphere setting, which tended to overestimate wind speeds. The atmosphere–ocean coupling in medicane simulations leads to increased sea surface temperatures, which enhances evaporation and promotes the development of convective systems through increased latent heat ...
Fulden Batibeniz +3 more
wiley +1 more source
Persistent Directed Flag Laplacian (PDFL)-Based Machine Learning for Protein-Ligand Binding Affinity Prediction. [PDF]
J Chem Theory ComputZia M, Jones B, Feng H, Wei GW.
europepmc +1 more source
Laplacian Fractal Growth in Media with Quenched Disorder [PDF]
, 1997 Raffaele Cafiero +4 more
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Advanced Quantum Technologies, EarlyView.The hybrid approach to Quantum Supervised Machine Learning is compatible with Noisy Intermediate Scale Quantum (NISQ) devices but hardly useful. Pure quantum kernels requiring fault‐tolerant quantum computers are more promising. Examples are kernels computed by means of the Quantum Fourier Transform (QFT) and kernels defined via the calculation of ...
Massimiliano Incudini +2 more
wiley +1 more source
Privacy-preserving and verifiable spectral graph analysis in the cloud. [PDF]
Sci RepSong Y.
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Performance evaluation of enhanced deep learning classifiers for person identification and gender classification. [PDF]
Sci RepSuravarapu VK, Patil HY.
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The Bochner Laplacian, Riemannian submersions, heat content asymptotics, and heat equation asymptotics [PDF]
, 1999 Peter Gilkey, JeongHyeong Park
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Distributed Leader‐Following Formation of Discrete‐Time Multi‐Agent LPV Systems
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT This paper addresses the leader‐following formation consensus problem for multi‐agent systems (MASs) with agents represented by discrete‐time linear parameter‐varying (LPV) models. The scenario where each agent can be modeled with distinct time‐varying scheduling parameters is investigated with respect to compensation signals.
Paulo S. P. Pessim +4 more
wiley +1 more source
Correction to "Persistent Sheaf Laplacian Analysis of Protein Flexibility". [PDF]
J Phys Chem BHayes N +4 more
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