Results 81 to 90 of about 15,675 (260)
This study presents an interpretable, lightweight hybrid deep learning model for real‐time analysis of breast cancer histopathology in IoMT‐enabled diagnostic systems. By integrating MobileNetV2 and EfficientNet‐B0 with a novel contextual recurrent attention module (CRAM), the framework achieves near‐perfect accuracy while providing transparent Grad ...
Roseline Oluwaseun Ogundokun +4 more
wiley +1 more source
Flexible yet Sparse Bayesian Survival Models With Time-Varying Coefficients and Unobserved Heterogeneity. [PDF]
ABSTRACT Survival analysis is an important area of medical research, yet existing models often struggle to balance simplicity with flexibility. Simple models require minimal adjustments but come with strong assumptions, while more flexible models require significant input and tuning from researchers.
Knaus P +3 more
europepmc +2 more sources
Development and Validation of a Next‐Generation Mechanistic Model of the Electric Arc Furnace
This study presents a next‐generation mechanistic model of the electric arc furnace (EAF). It describes equations for all crucial processes appearing during the steel‐recycling process in an EAF, i.e., thermal, mass, and chemical. The model was parameterized and validated using industrial EAF data.
Vito Logar, Igor Škrjanc
wiley +1 more source
Carleson embeddings and pointwise multipliers between Hardy-Orlicz spaces and Bergman-Orlicz spaces of the upper half-plane [PDF]
Jean Marcel T. Dje, Benoît F. Sehba
openalex +1 more source
Across their entire Atlantic breeding range, Atlantic puffins Fratercula arctica have experienced decreases in food availability, often leading to population declines. The species is one of the most numerous seabirds in Føroyar (the Faroe Islands, in English) but has faced apparent, unquantified population declines.
Anne N.M.A. Ausems +3 more
wiley +1 more source
Mesopic microperimetry in Stargardt disease: Application and reliability
Abstract Purpose Mesopic microperimetry (mMP) is a promising functional endpoint in clinical trials for Stargardt disease type 1 (STGD1). This study evaluated the test–retest variability of mMP and influencing factors, which is essential for ensuring reliability in future STGD1 trials.
Sybren H. Kootstra +12 more
wiley +1 more source
Pointwise multipliers for functions of weighted bounded mean oscillation [PDF]
Summary: For \(w: \mathbb{R}^ n\times \mathbb{R}_ +\to \mathbb{R}_ +\) and \(1\leq ...
openaire +1 more source
Computing Skinning Weights via Convex Duality
We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley +1 more source
Pointwise multipliers on $L^1$ and related spaces
We consider completely continuous and weakly compact multiplication operators on certain classical function spaces, more precisely on Lebesgue spaces $L1$ on spaces $C(K)$ of continuous functions on a compact Hausdorff space K,and on the Hardy space $H1$. We will describe such operators in terms of their defining symbols.
Jarchow, Hans, Labuschagne, Louis E.
openaire +3 more sources
A Real‐Time Multi‐Scale Neural Representation for Complex Surface Reflectance
Abstract Recent machine learning methods have significantly advanced the state of the art in the classic problem of representing surface appearance over angle, space, and scale. The models tend, however, to be relatively heavy compared to traditional fixed‐function representations, making real‐time application challenging.
Heikki Timonen +2 more
wiley +1 more source

