Results 71 to 80 of about 2,019,981 (302)
Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography
In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep +4 more
wiley +1 more source
Genomic and phenomic selection have transformed modern breeding by enabling data-driven prediction of complex traits. Deep learning (DL) can further enhance predictive ability by capturing nonlinear patterns that classical and Bayesian approaches often ...
Freddy Mora-Poblete +4 more
doaj +1 more source
Optimization-seeking experiment with hyperparameters K.
Optimization-seeking experiment with hyperparameters K.
Xi Zhang (83736) +5 more
core +1 more source
Random Search Plus: A more effective random search for machine learning hyperparameters optimization [PDF]
Machine learning hyperparameter optimization has always been the key to improve model performance. There are many methods of hyperparameter optimization.
Li, Bohan
core
Mask‐encoded UV exposure translates digital color information into pixel‐resolved structural‐color patterns in hydroxypropyl cellulose gels. Gaussian‐process‐guided calibration links UV processing conditions, wavelength, and mask opacity, enabling parallel fabrication of multicolor images in a single 10 s exposure.
Mengting Ye +8 more
wiley +1 more source
Land cover and land use (LCLU) information is crucial in different earth observation applications, such as environmental management, infrastructure planning, and urban development.
Pooya Heidari, Asghar Milan
doaj +1 more source
Sentiment Analysis on Twitter Using Deep Belief Network Optimized with Particle Swarm Optimization [PDF]
Deep Belief Network is a type of artificial neural network that is widely used in machine learning and deep learning tasks that allows it to learn hierarchical representations of the input data.
Dewi Irma Amelia +1 more
doaj +1 more source
Score model network: Optimization hyperparameters.
Score model network: Optimization hyperparameters.
Christopher Frederik Blum (17972603) +4 more
core +1 more source
Destination Prediction Based on Partial Trajectory Data - Hyperparameters
This table presents the hyperparameters retrieved after hyperparamter optimization and used to test the final models in "Destination Prediction Based on Partial Trajectory Data"
Patrick Ebel (8349384)
core +1 more source
Here, we establish a low‐dose liquid‐phase electron microscopy workflow for real‐time observation of biological processes in hydrated conditions. Beam damage is reduced by imaging only 20% of the pixels and reconstructing the complete image using an inpainting algorithm.
Luco Rutten +7 more
wiley +1 more source

