Results 211 to 220 of about 48,420 (287)

Automating Archaeological Discovery: Assessing Geospatial Artificial Intelligence (GeoAI) Tools for Stone Wall Identification in Kweneng, South Africa

open access: yesArchaeometry, EarlyView.
ABSTRACT The discovery of archaeological sites traditionally entails the utilisation of physically demanding exploration methodologies, including terrain surveying and the analysis of historical records. Recent technological developments have led to an increased use of non‐invasive remote sensing techniques, including Google Earth, LiDAR and aerial ...
Mncedisi J. Siteleki
wiley   +1 more source

Multi‐Spectral Gaussian Splatting with Neural Color Representation

open access: yesComputer Graphics Forum, EarlyView.
Abstract 3D Gaussian Splatting (3DGS) [KKLD23] has transformed novel‐view synthesis from RGB images, yet remains restricted to the visible spectrum. Many applications, including agricultural monitoring, rely on multi‐spectral imaging, where spectral camera alignment and scalability pose major challenges.
Lukas Meyer   +5 more
wiley   +1 more source

ITGA5 as a Dual Regulator of Epithelial‐Mesenchymal Transition and Epithelial Cell Anoikis Resistance: Functional Validation and Drug Prediction

open access: yesCell Proliferation, EarlyView.
Proteomics and functional validation reveal ITGA5 as a dual promoter of epithelial‐mesenchymal transition and anoikis resistance in human bronchial epithelium: targeting ITGA5 represents a novel therapeutic strategy for asthma airway remodelling. ABSTRACT Airway remodelling is a major contributor to persistent airflow limitation and irreversible lung ...
Ting Wang   +10 more
wiley   +1 more source

Presence-gated VOC sensing for urban search and rescue applications. [PDF]

open access: yesSci Rep
Tanggono EN   +6 more
europepmc   +1 more source

Technologies for equine welfare and performance monitoring under field conditions – Where do we stand?

open access: yesEquine Veterinary Journal, EarlyView.
Abstract The need for comprehensive equine welfare assessments has become particularly evident amid ongoing debates about the social licence to operate in equestrian sports. During exercise, multiple physiological systems, principally the cardiovascular, respiratory, muscular, thermoregulatory, endocrine, and locomotory systems, undergo complex ...
Rhana Mackie Aarts   +3 more
wiley   +1 more source

Catch Me If You Can: The Dynamic Nature of Bias in Machine Learning Applications

open access: yesInformation Systems Journal, EarlyView.
ABSTRACT Bias in machine learning (ML) applications represents systematic differences between expected and actual values of the predicted outputs, such that certain individuals or groups are systematically and disproportionately (dis)advantaged. This paper investigates the dynamic nature of bias in ML applications.
Monideepa Tarafdar, Irina Rets, Yang Hu
wiley   +1 more source

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