Results 251 to 260 of about 3,501,569 (379)
A Novel Mixed Convolution Transformer Model for the Fast and Accurate Diagnosis of Glioma Subtypes
The mixed convolutional transformer model represents a novel approach for the accurate and rapid diagnosis of glioma subtypes. This model employs advanced, complex layers and functions, establishing its uniqueness and enhancing its ability to deliver precise outcomes in glioma subtype detection.
S. M. Nuruzzaman Nobel+7 more
wiley +1 more source
Conformal Field Theory, Solitons, and Elliptic Calogero-Sutherland Models. [PDF]
Berntson BK, Langmann E, Lenells J.
europepmc +1 more source
On a uniqueness condition for solutions of the Dirichlet problem concerning a quasi-lineaar equation of elliptic type [PDF]
Yoshikazu Hirasawa
openalex +1 more source
This study explores social immunity in gregarious locusts using a groundbreaking animal–robot–pathogen interaction model. By comparing locust responses to biomimetic agents mimicking healthy and infected individuals, significant behavioral changes are revealed.
Donato Romano, Cesare Stefanini
wiley +1 more source
Charge Transport Systems with Fermi-Dirac Statistics for Memristors. [PDF]
Herda M, Jüngel A, Portisch S.
europepmc +1 more source
An axiomatic treatment of pairs of elliptic differential equations [PDF]
Peter A. Loeb
openalex +1 more source
Knowledge Distillation‐Based Zero‐Shot Learning for Process Fault Diagnosis
Process and image data are equivalent with the teacher model pretrained on image data. Knowledge distillation transfers normal condition data to the student model. When an unknown fault occurs, differences between the teacher and student models are quantified via gradients to isolate the fault. Data‐driven deep learning is effective in diagnosing known
Yi Liu, Jiajun Huang, Mingwei Jia
wiley +1 more source
Effective Piecewise Mass Distributions for Optimal Energy Eigenvalues of a Particle in Low-Dimensional Heterojunctions. [PDF]
Batle J+4 more
europepmc +1 more source
Domain Decomposition: Parallel Multilevel Methods for Elliptic Partial Differential Equations
Barry F. Smith, P. Bjørstad, W. Gropp
semanticscholar +1 more source
This paper presents a novel Multi‐Distance Spatial‐Temporal Graph Neural Network for detecting anomalies in blockchain transactions. The model combines multi‐distance graph convolutions with adaptive temporal modeling to capture complex patterns in anonymized cryptocurrency networks.
Shiyang Chen+4 more
wiley +1 more source