Results 151 to 160 of about 546,655 (283)

Analytical comparisons for solving the modified fractional Kawahara equation: application on numerical simulation of chemical signaling processes. [PDF]

Sci Rep
Damag FH, Alshammari M, Saif A, Kiliçman A, Othman HA, Dawood S.   +5 more
europepmc   +1 more source

A Detailed and Comprehensive Account of Fractional Physics‐Informed Neural Networks: From Implementation to Efficiency

Artificial Intelligence for Engineering, EarlyView.
Caputo‐based fPINNs accurately solve fractional ODEs and PDEs while exposing an accuracy–cost trade‐off driven by the history‐dependent fractional derivative. Temporal collocation and shorter time windows are the most effective strategies for improving early‐time accuracy without unnecessary spatial refinement.
Donya Dabiri, Joshua DaRosa, Milad Saadat, Deepak Mangal, Safa Jamali   +4 more
wiley   +1 more source

Diffusion-Shock PDEs for Deep Learning on Position-Orientation Space. [PDF]

J Math Imaging Vis
Sherry FM, Schaefer K, Duits R.
europepmc   +1 more source

OPERATOR METHODS, ABELIAN PROCESSES AND DYNAMIC CONDITIONING [PDF]

A mathematical framework for Continuous Time Finance based on operator algebraic methods oers a new direct and entirely constructive perspective on the field.
Albanese, Claudio
core  

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

Fractional-order Klein-Gordon nonlocal model for thermo-elasto-diffusion in porous medium. [PDF]

Sci Rep
Sur A, Alosaimi M, Singhal A, Yaylacı M, Das S.   +4 more
europepmc   +1 more source

Distributed k‐WTA Network for Multi‐Manipulator Competition With Experimental Verifications

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In this article, a new distributed k $k$‐winner‐take‐all (Dk $k$‐WTA) network is designed and used to construct a dynamic allocation scheme for competitive coordination tasks of multiple manipulators as embodied agents. The scheme is constructed based on the following two aspects. On one hand, with reference to a perspective that the Laplacian
Shengkai Sun, Yutong Li, Jianfeng Lv
wiley   +1 more source

Comparative behavior of steam turbine model for dynamical power system analyses by means of multiple fractional and artificial neural network techniques. [PDF]

Sci Rep
Abro KA, Souayeh B, Flah A.
europepmc   +1 more source

Spatial heterogeneity in exposure to Brucella suis and pathogenic leptospires in feral pigs across New South Wales

Australian Veterinary Journal, EarlyView.
Feral pigs (Sus scrofa) are important reservoirs for zoonotic and livestock pathogens in Australia, but robust information on the spatial distribution of pathogens in pig populations remains limited. We analysed serological data from a systematic, state‐wide surveillance program to investigate spatial heterogeneity in exposure to Brucella suis and ...
AJ Bengsen, S Comte, L Parker, C Brausch, F Silva, M Suann, ME Westman, J Geoghegan, R Powell, DM Forsyth, SR McLeod   +10 more
wiley   +1 more source

Empirical Bayes Covariance Decomposition, and a Solution to the Multiple Tuning Problem in Sparse PCA. [PDF]

J Comput Graph Stat
Kang J, Stephens M.
europepmc   +1 more source