Results 151 to 160 of about 203,140 (297)

Estimating Land Degradation Level Using Remote Sensing Data and Fuzzy AHP Technique

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Land degradation is a critical global environmental concern that significantly impacts ecosystem services, agricultural productivity, weather patterns, human livelihoods and overall well‐being. Prompt and precise assessments of land degradation status are crucial for environmental governance and sustainable development. Remote sensing data can
Mohamed Mustafa Ali, Hamed Faroqi
wiley   +1 more source

Quantum-like imprecise probabilities

open access: yesSoft Computing
Abstract The primary contribution of this work is the identification of the equivalence between imprecise probabilities and quantum probabilities, resulting in the development of the concept of probability waves.
openaire   +1 more source

Calibration‐Free Single‐Frame Super‐Resolution Fluorescence Microscopy

open access: yesLaser &Photonics Reviews, EarlyView.
A deep learning framework reconstructs super‐resolved fluorescence images from a single dense camera frame, without any prior calibration or knowledge of the microscope. Trained solely on synthetic data, it generalizes across imaging setups and conditions.
Anežka Dostálová   +3 more
wiley   +1 more source

An Imprecise Science Commission [PDF]

open access: yes, 2015
Two site specific installations commissioned for the exhibition An Imprecise Science and the occasion of The Gunnery/ Artspace buildings ...
Hughes, NA
core  

Using multinomial and imprecise probability for non-parametric modelling of rainfall in Manizales (Colombia)

open access: yesIngeniería e Investigación, 2008
This article presents a rainfall model constructed by applying non-parametric modelling and imprecise probabilities; these tools were used because there was not enough homogeneous information in the study area.
Ibsen Chivatá Cárdenas
doaj  

Proteomic Signatures of Ectopic Fat Distribution: Tissue‐Specific Drivers and Clinical Implications

open access: yesMed Research, EarlyView.
Integration of plasma proteomics and multi‐organ MRI in 666 UK Biobank participants, combined with a knockoff‐based causal inference and machine learning framework, reveals organ‐specific drivers of ectopic fat: PLA2G1B (pancreas), ERBB2/IGFBP2 (liver), CA14 (muscle), and NCAM2/TNFRSF10B (pericardium). These drivers engage distinct pathways (e.g., PI3K‐
Bing Zhang   +9 more
wiley   +1 more source

Serum elemental profile‐based machine learning models for Alzheimer's disease identification and cognitive score prediction

open access: yesNeuroprotection, EarlyView.
Serum elemental profiling combined with machine learning supports exploratory Alzheimer's disease (AD) identification and cognitive score prediction. In this retrospective cross‐sectional study, 874 participants from the BANC‐PUMC, including cognitively normal controls and patients with AD, were analyzed.
Haotian Liu   +6 more
wiley   +1 more source

Bayesian reliability analysis with imprecise prior probabilities [PDF]

open access: yes, 1992
The Bayesian framework for statistical inference offers the possibility of taking expert opinions into account, and is therefore attractive in practical problems concerning reliability of technical systems.
Coolen, FPA Frank   +3 more
core   +1 more source

A sample size analysis of a mathematical model of longitudinal tumor volume and progression‐free survival for Bayesian individual dynamic predictions in recurrent high‐grade glioma

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 495-509, March 2025.
Abstract Patients with recurrent high‐grade glioma (rHGG) have a poor prognosis with median progression‐free survival (PFS) of <7 months. Responses to treatment are heterogenous, suggesting a clinical need for prognostic models. Bayesian data analysis can exploit individual patient follow‐up imaging studies to adaptively predict the risk of progression.
Daniel J. Glazar   +5 more
wiley   +1 more source

A simplified algorithm for inference by lower conditional probabilities

open access: yes, 2001
Ithaca ...
CAPOTORTI A, VANTAGGI, Barbara
core  

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