Enhancing Dental Caries Classification with Adversarial Training on Bitewing Radiographs. [PDF]
Suttapak W +4 more
europepmc +1 more source
Citrus essential oils combine sustainable extraction, AI‐assisted authentication, multi‐omics profiling, antimicrobial activity, and regulatory safety to enhance food quality, detect adulteration, and promote consumer health, and support intelligent, sustainable food systems through innovative industrial applications and circular bioeconomy strategies.
Md. Hassan Bin Nabi +7 more
wiley +1 more source
An incremental adversarial training method enables timeliness and rapid new knowledge acquisition. [PDF]
Ge Y, Dong Y, Sun H, Liu Y, Wang C.
europepmc +1 more source
Adversarial training for prostate cancer classification using magnetic resonance imaging. [PDF]
Hu L +5 more
europepmc +1 more source
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent difficulties in social communication, social interaction, and repetitive behaviors. Early diagnosis is often hindered by subjective clinical assessments and limited data availability.
Sahar Alkhaibari, Feng Dong
wiley +1 more source
Robust Deep Active Learning via Distance-Measured Data Mixing and Adversarial Training. [PDF]
Song S, Wang X, Dong S, Jiang J.
europepmc +1 more source
Deep Convolutional Neural Network With Adversarial Training for Denoising Digital Breast Tomosynthesis Images. [PDF]
Gao M, Fessler JA, Chan HP.
europepmc +1 more source
From Physiology to Bioheat Simulation: A Data‐Driven Framework for Core Temperature Initialization
ABSTRACT Accurate initialization of core body temperature is a critical yet often overlooked component of bioheat transfer models, particularly when such models are applied to heterogeneous populations and real‐world environmental conditions. Conventional bioheat simulations typically rely on fixed or idealized core body temperature values derived from
David S. Rodríguez +6 more
wiley +1 more source
Cross-Protocol Domain Gap in Internet of Things Intrusion and Anomaly Detection: An Empirical Internet Protocol-to-Bluetooth Low Energy Study of Domain-Adversarial Training. [PDF]
Jin H.
europepmc +1 more source
Log Sequence Anomaly Detection Method Based on Contrastive Adversarial Training and Dual Feature Extraction. [PDF]
Wang Q, Zhang X, Wang X, Cao Z.
europepmc +1 more source

