Results 271 to 280 of about 5,389,393 (319)

Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño, Alejandro Palacio‐Betancur, Piedad Miranda‐Chiquito, Juan David Amaya, Christian E. Silva, Mariantonieta Gutierrez Soto, Luis Felipe Giraldo   +6 more
wiley   +1 more source

Transfer learning for T-cell response prediction. [PDF]

BMC Bioinformatics
Stadelmaier J, Malone B, Eggeling R.
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Individualized Treatment Effect Inference of Head and Neck Cancer with Multimodal Data. [PDF]

APSIPA Trans Signal Inf Process
Wei Y, Li Z, Woo J, Ouyang J, El Fakhri G, Liu X.   +5 more
europepmc   +1 more source

Lacking data? No worries! How synthetic images can alleviate image scarcity in wildlife surveys: A case study with muskox (Ovibos moschatus)

Remote Sensing in Ecology and Conservation, EarlyView.
This study investigates the integration of synthetic imagery, created with diffusion‐based models, to supplement limited training data and improve muskox (Ovibos moschatus) detection in zero‐shot (ZS) and few‐shot (FS) settings. ZS models detected more than 80% of muskoxen in real images, confirming the potential of synthetic data as a substitute for ...
Simon Durand, Samuel Foucher, Alexandre Delplanque, Joëlle Taillon, Jérôme Théau   +4 more
wiley   +1 more source

STGAD: Self-temporal generative adversarial framework with transformer attention for unsupervised multivariate time-series anomaly detection and localization. [PDF]

PLoS One
Liao X, Deng W, Ma H, Mu Y.
europepmc   +1 more source

CCIW: Cover-Concealed Image Watermarking for Dual Protection of Privacy and Copyright. [PDF]

Entropy (Basel)
Li R, Wang S, Li M, Ren H.
europepmc   +1 more source

Auto-segmentation and dose accuracy evaluation of synthetic computed tomography generated from pelvis cone-beam computed tomography images using a cycle-generative adversarial network with a novel loss function. [PDF]

Phys Imaging Radiat Oncol
Anbumani S, Keeler A, Xu J, Thill D, O'Connell N, Paulson E, Shukla ME, Omari EA.   +7 more
europepmc   +1 more source

Large reasoning models are autonomous jailbreak agents. [PDF]

Nat Commun
Hagendorff T, Derner E, Oliver N.
europepmc   +1 more source

Few-shot crop pests and diseases recognition based on adversarial augmentation and task interpolation. [PDF]

Plant Methods
Wang K, Fei X, Su L, Fang T, Shen H.
europepmc   +1 more source