Results 91 to 100 of about 4,909,083 (351)

Bilevel Optimization by Conditional Bayesian Optimization

open access: yes
Bilevel optimization problems have two decision-makers: a leader and a follower (sometimes more than one of either, or both). The leader must solve a constrained optimization problem in which some decisions are made by the follower. These problems are much harder to solve than those with a single decision-maker, and efficient optimal algorithms are ...
Vedat Dogan, Steven Prestwich
openaire   +3 more sources

Quantum Bayesian Optimization

open access: yes, 2023
Accepted to NeurIPS ...
Dai, Zhongxiang   +5 more
openaire   +2 more sources

Superionic Amorphous Li2ZrCl6 and Li2HfCl6

open access: yesAdvanced Materials, EarlyView.
Amorphous Li2HfCl6 and L2ZrCl6 are shown to be promising solid‐state electrolytes with predicted ionic conductivities >20 mS·cm−1. Molecular dynamics simulations with machine‐learning force fields reveal that anion vibrations and flexible MCl6 octahedra soften the Li coordination cage and enhance mobility. Correlation between Li‐ion diffusivity and the
Shukai Yao, De‐en Jiang
wiley   +1 more source

Hydrogel‐Based Functional Materials: Classifications, Properties, and Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Conductive hydrogels have emerged as promising materials for smart wearable devices due to their outstanding flexibility, multifunctionality, and biocompatibility. This review systematically summarizes recent progress in their design strategies, focusing on monomer systems and conductive components, and highlights key multifunctional properties such as
Zeyu Zhang, Zao Cheng, Patrizio Raffa
wiley   +1 more source

The Implementation of Bayesian Optimization for Automatic Parameter Selection in Convolutional Neural Network for Lung Nodule Classification

open access: yesJurnal Nasional Pendidikan Teknik Informatika (JANAPATI)
Lung cancer's high mortality rate makes early detection crucial. Machine learning techniques, especially convolutional neural networks (CNN), play a very important role in lung nodule detection.
Kadek Eka Sapta Wijaya   +2 more
doaj   +1 more source

Progress and Prospects of Persistent Luminescent Nanocrystals in Biomedical Applications

open access: yesAdvanced Optical Materials, EarlyView.
This review summarizes recent progress in materials‐level control of persistent luminescence, including mechanistic understanding, wavelength/intensity tuning, and activation strategies, as well as emerging biomedical applications in imaging, biosensing, cell tracking, optogenetic stimulation, and biophotochemical activation.
Peng Pei   +5 more
wiley   +1 more source

Modeling and Improving Geometric Accuracy in Projection Multiphoton Lithography

open access: yesAdvanced Optical Materials, EarlyView.
A numerical framework describing the optical and photochemical processes is developed to elucidate the origins of geometric deviations in projection multiphoton lithography. The results indicate that oxygen diffusion and inhibition, and DMD diffraction, lead to geometric distortions.
Anwarul Islam Akash   +2 more
wiley   +1 more source

Reducing Personalization Time and Energy Cost While Walking Outdoors with a Portable Exosuit

open access: yesAdvanced Robotics Research, EarlyView.
Rapid Real‐World Optimization! An AF‐based human‐in‐the‐loop optimization strategy rapidly personalizes a portable hip extension exosuit for incline walking. Real‐time Bayesian optimization of assistive force significantly reduces metabolic energy—up to 16.2%—while converging in just 3 min 24 s.
Kimoon Nam   +7 more
wiley   +1 more source

Laser material processing optimization using bayesian optimization: a generic tool

open access: yesLight: Advanced Manufacturing
Optimizing laser processes is historically challenging, requiring extensive and costly experimentation. To solve this issue, we apply Bayesian optimization for process parameter optimization to laser cutting, welding, and polishing.
Tobias Menold   +5 more
doaj   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

open access: yesAdvanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang   +5 more
wiley   +1 more source

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