Results 181 to 190 of about 160,235 (299)

Object Detection and Recognition Based on Deep Learning. [PDF]

Sensors (Basel)
Carletti V, Saggese A, Spagnolo P.
europepmc   +1 more source

State Capacity and Path Dependence in Cape Verde's Supreme Audit Institution

Public Administration and Development, EarlyView.
ABSTRACT This study examines state capacity and path dependence in the Supreme Audit Institution (SAI) of Cape Verde, focussing on the performance and governance of the Court of Auditors. Drawing on a mixed‐methods longitudinal design covering the period from 2010 to 2024, the analysis combines international governance indicators, documentary analysis,
Ana Lúcia Romão
wiley   +1 more source

Threats and vulnerabilities in artificial intelligence and agentic AI models. [PDF]

Front Artif Intell
Radanliev P, Santos O, Maple C.
europepmc   +1 more source

The transformative potential of artificial intelligence in pediatric medicine: Current applications, methodological challenges, and future directions

Pediatric Investigation, EarlyView.
Artificial intelligence (AI) offers transformative potential for paediatric diagnosis and treatment, yet implementation faces unique challenges, including data scarcity, algorithmic bias, and children's developmental physiology. This review examines current applications and charts a path toward transparent, equitable, and trustworthy AI in child health.
Ruisong Wang, Xiaoman Ding, Wanyue Zhang, Tieliu Shi   +3 more
wiley   +1 more source

Point cloud generation adversarial network based on self-attention and curvature. [PDF]

PLoS One
Sun F, Shen C, Kong Y, Zhang Z, Hu M, Xiong F.   +5 more
europepmc   +1 more source

Stop Using Limiting Stimuli as a Measure of Sensitivities of Energetic Materials

Propellants, Explosives, Pyrotechnics, EarlyView.
ABSTRACT Accurately estimating the sensitivity of explosive materials is a potentially life‐saving task that requires standardised protocols across nations. One of the most widely applied procedures worldwide is the so‐called ‘1‐In‐6’ test from the United Nations (UN) Manual of Tests in Criteria, which estimates a ‘limiting stimulus’ for a material. In
Dennis Christensen, Geir Petter Novik
wiley   +1 more source

Boundary-aware dual-discriminator generative adversarial network for data augmentation in financial transaction fraud detection. [PDF]

PLoS One
Zhu H, Wang Z, Xie Y, Yao J.
europepmc   +1 more source

Machine learning approach to balance heat transfer and pressure loss in a dimpled tube: Generative adversarial networks in computational fluid dynamics

Seyed Ali Abtahi Mehrjardi, Alireza Khademi, Seyyed Mohammad Mahdi Safavi   +2 more
openalex   +1 more source

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

Personalised Blood Glucose Time Series Forecasting in Type 1 Diabetes: Deep Collaborative Adversarial Learning. [PDF]

J Pers Med
Khadem H, Nemat H, Elliott J, Benaissa M.   +3 more
europepmc   +1 more source