Results 71 to 80 of about 2,019,981 (302)

Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography

open access: yesAdvanced Functional Materials, EarlyView.
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

MTMEGPS: An R package for multi-trait and multi-environment genomic and phenomic selection using deep learning

open access: yesFrontiers in Plant Science
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.

open access: yes
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]

open access: yes, 2020
Machine learning hyperparameter optimization has always been the key to improve model performance. There are many methods of hyperparameter optimization.
Li, Bohan
core  

Grayscale Photomasks Enable Noncontact Optical Patterning of Hydroxypropyl Cellulose Gels for Dynamic Art

open access: yesAdvanced Functional Materials, EarlyView.
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

Combining K-fold cross validation with bayesian hyperparameter optimization for accuracy enhancement of land cover and land use classification

open access: yesScientific Reports
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]

open access: yesE3S Web of Conferences
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.

open access: yes
Score model network: Optimization hyperparameters.
Christopher Frederik Blum (17972603)   +4 more
core   +1 more source

Destination Prediction Based on Partial Trajectory Data - Hyperparameters

open access: yes, 2020
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

Dynamic Observation of Lacy Pattern Formation in a Bone Tissue Model Using Liquid Phase Scanning Transmission Electron Microscopy

open access: yesAdvanced Functional Materials, EarlyView.
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

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