Results 121 to 130 of about 41,370 (259)

Risk, Utility and Sensitivity to Large Losses

open access: yesMathematical Finance, EarlyView.
ABSTRACT Risk and utility functionals are fundamental building blocks in economics and finance. In this paper we investigate under which conditions a risk or utility functional is sensitive to the accumulation of losses in the sense that any sufficiently large multiple of a position that exposes an agent to future losses has positive risk or negative ...
Martin Herdegen   +2 more
wiley   +1 more source

On the instability of Hausdorff content.

open access: yesMATHEMATICA SCANDINAVICA, 1987
The entire paper is devoted to the proof of the following result, in which \(H_{\alpha}\) denotes the \(\alpha\)-dimensional Hausdorff content: If \(E\subseteq {\mathbb{R}}^ n\) and ...
openaire   +3 more sources

Artificial Intelligence in Orthodontics: Part 2—Data Preparation and Performance Evaluation

open access: yesOrthodontics &Craniofacial Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is increasingly integrated into orthodontic research and clinical workflows. Yet, the reliability and clinical value of these systems depend fundamentally on the quality of the data used to train them and the rigour with which their performance is evaluated.
Khuram Naveed   +5 more
wiley   +1 more source

Semi-Hausdorff Spaces

open access: yes, 1966
It is well-known that in a Hausdorff space, a sequence has at most one limit, but that the converse is not true. The condition that every sequence have at most one limit will be called the semi-Hausdorff condition.
M.G. Murdeshwar, S.A. Naimpally
core   +1 more source

Chordal Hausdorff Convergence and Quasihyperbolic Distance

open access: yes, 2020
We study Hausdorff convergence (and related topics) in the chordalization of a metric space to better understand pointed Gromov-Hausdorff convergence of quasihyperbolic distances (and other conformal distances)
Snipes Marie A.   +2 more
core   +1 more source

LDS‐UNet: Lightweight Depthwise Separable U‐Net for Brain Tumor Segmentation

open access: yesApplied AI Letters, Volume 8, Issue 1, February 2027.
A hybrid Lightweight Depthwise Separable U‐Net (LDS‐UNet) is proposed, using depthwise separable convolutions in the encoder‐decoder, and standard bottleneck convolutions, and 2.5D three‐slice input to recover inter‐slice context without 3D convolutions.
Nasrin Akter   +3 more
wiley   +1 more source

Hausdorff Measure of Critical Values

open access: yes
openLa tesi tratta il paper di A. Sard del 1965, "Hausdorff Measure of Critical Images on Banach Manifolds". Il paper tratta un raffinamento del teorema di Morse-Sard, e mostra che, presa una funzione C^k tra una varietà e una varietà di Banach, se k è
EUGENELO, TIZIANA
core  

The Evolution of Breast Cancer Detection: A Review of Imaging, Machine Learning, and Multimodal Strategies

open access: yesComputational and Systems Oncology, Volume 6, Issue 1, December 2026.
ABSTRACT Breast cancer is still a serious problem in the world arena, where its early and prompt detection is the most important factor in improving patient prognosis and survival. The use of traditional diagnostic techniques, such as imaging (e.g., mammography and ultrasound) and subsequent histopathological examination, is the mainstay, which ...
Likhon Chandra Sarkar   +6 more
wiley   +1 more source

Pushing at the Boundaries of Pterin Chemistry

open access: yesMolecules
Pterins are molecules of substantial interest as they occur in nature in a number of forms with quite distinct and often indispensable roles. Chemically, the synthesis of the principle pterin scaffold is comparably simple, while the insolubility of the ...
Jevy V. Correia   +2 more
doaj   +1 more source

Upper semifinite hyperspaces as unifying tools in normal Hausdorff topology

open access: yes, 2007
In this paper we use the upper semifinite topology in hyperspaces to get results in normal Hausdorff topology. The advantage of this point of view is that the upper semifinite topology, although highly non-Hausdorff, is very easy to handle.
González Gómez, A.   +1 more
core   +1 more source

Home - About - Disclaimer - Privacy