Results 111 to 120 of about 105,151 (260)

3D Radiation Mapping Using Gaussian Process Regression with Intensity Projection

Advanced Intelligent Systems
This article presents a novel approach for generating a three‐dimensional radiation map using data collected by mobile robots, aimed at monitoring radiation distribution in environments such as nuclear power plants.
Jihoon Jung, Donggil You, Kooksun Lee, Junghyun Oh   +3 more
doaj   +1 more source

Deck motion prediction using neural kernel network Gaussian process regression

Xibei Gongye Daxue Xuebao
Deck motion prediction and compensation are critical technologies for carrier-based aircraft automatic landing. Traditional deck motion prediction methods rely on precision of motion models and parameter adjustments, facing challenges in adaptability to ...
QIN Peng, LUO Jianjun, MA Weihua, WU Liming   +3 more
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Artificial Intelligence Meets Micro/Nanorobotics

Advanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever, Minitha Cherukutty Ramakrishnan, Ian Kuula Ross, Ivan Zelinka, Hamed Shahsavan, Michal Otyepka, Martin Pumera   +6 more
wiley   +1 more source

Soft and Transient Bioelectronics Enabled by Polymer‐Free Ti3C2Tx MXene Hydrogels

Advanced Materials, EarlyView.
We present Ti3C2Tx MXene hydrogel (MXgel) bioelectronics, a soft, flexible, and fully transient platform for high‐fidelity neural recording and stimulation. MXgel bioelectronics exhibit exceptional electrical conductivities, low electrochemical impedances, and high charge injection capacities.
Raghav Garg, Franco A. Laimo, Stefano Ippolito, Prastuti Upadhyay, Spencer R. Averbeck, Dimitris Boufidis, Charles‐Antoine Assenmacher, Dayo O. Adewole, Sai Panigrahy, Bita Soltan Mohammadlou, Lucy Plant, Yuan Zhang, Andrew G. Richardson, Yury Gogotsi, D. Kacy Cullen, Flavia Vitale   +15 more
wiley   +1 more source

Mapping Correlated Environmental Landscapes in the Fluorescence Response of a Pyrenylated Charge‐Transfer Probe via Data‐Driven Nonlinear Regression

Advanced Materials Interfaces, EarlyView.
A pyrenylated donor–acceptor probe exhibits environment‐dependent fluorescence governed by intramolecular charge transfer, restricted molecular motion, and supramolecular organization. Nonlinear regression accurately reconstructs fluorescence responses to viscosity, temperature, concentration, and pH, while correlated parameter maps reveal hidden ...
Harshal V. Barkale, Anakhi Hazarika, Nilanjan Dey   +2 more
wiley   +1 more source

Where Precursor Loading Stops Making a Difference: Resolving an Operational Infiltration Limit for Nanoparticle Synthesis Using Dual Quantification of Reverse Micelle Nanoreactors

Advanced Materials Interfaces, EarlyView.
A dual characterization strategy combining nanomechanical and mass measurements resolves a common operational loading threshold in reverse micelle nanoreactors. This transferable framework provides a rational strategy for optimizing precursor loading and nanoparticle synthesis, across template‐mediated fabrication systems.
Linan Cui, Pedro Q. Oliveira, Kyla N. Sask, Ayse Z. Turak   +3 more
wiley   +1 more source

Curb Detection and Mapping via Robust Iterative Gaussian Process Regression

Journal of Highway and Transportation Research and Development
Curb detection and mapping are of great importance to ensure the safety and efficiency of intelligent vehicles. However, it remains challenging because shape estimation under noise and outliers is not well addressed in real traffic scenarios.
Di Wang, Si Chen, Zhenni Ma, Jiajia Shi, Fuchun Zhang   +4 more
doaj   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

A Gaussian process guide for signal regression in magnetic fusion

Nuclear Fusion
Extracting reliable information from diagnostic data in tokamaks is critical for understanding, analyzing, and controlling the behavior of fusion plasmas and validating models describing that behavior.
Craig Michoski, Todd A. Oliver, David R. Hatch, Ahmed Diallo, Mike Kotschenreuther, David Eldon, Matthew Waller, Richard Groebner, Andrew Oakleigh Nelson   +8 more
doaj   +1 more source