Results 251 to 260 of about 402,315 (323)

Ultralow‐Power Real‐Time On‐Chip Thermal Prediction via Finite Element Method–Machine Learning Codesign and Field‐Programmable Gate Array Deployment

open access: yesAdvanced Intelligent Systems, EarlyView.
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee   +4 more
wiley   +1 more source

GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph neural‐network (GNN)‐based framework is also proposed to estimate the cloth morphology change in real time.
Yingqi Li   +9 more
wiley   +1 more source

Solar Flow Synthesis of Polymer Nanoparticles: Scaling Local Experiments to Global Potential

open access: yesAngewandte Chemie, EarlyView.
The large‐scale sunlight‐induced photochemical synthesis of polymer nanoparticles based on the Diels–Alder step‐growth polymerization of a bismaleimide and a difunctional o‐methylbenzaldehyde in a self‐built solar flow reactor is introduced. Furthermore, a framework is established to translate sunlight‐driven experimental results globally—validated in ...
Jochen A. Kammerer   +7 more
wiley   +2 more sources

Enhancing interpretability for Bayesian basket trial designs by effective sample size. [PDF]

open access: yesBMC Med Res Methodol
Chen X   +5 more
europepmc   +1 more source

Slip‐Adaptive Neural Control of Gecko‐Inspired Adhesive Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a neural adhesion controller to improve the stability of gecko‐inspired climbing robots. By integrating an echo state network and a multilayer perceptron, the system utilizes joint torque feedback to accurately estimate adhesion in both normal and shear directions and predict slips. This enables effective recovery from slip events,
Donghao Shao   +3 more
wiley   +1 more source

Are There Causal Associations Between Obsessive‐Compulsive Disorder and Cardiometabolic Phenotypes? A Genetic Correlation and Bi‐Directional Mendelian Randomization Study

open access: yesAmerican Journal of Medical Genetics Part B: Neuropsychiatric Genetics, EarlyView.
ABSTRACT In epidemiological studies, obsessive‐compulsive disorder (OCD) is robustly associated with increased risk of cardiometabolic disorders, including cardiovascular diseases, type 2 diabetes, and obesity. However, the mechanisms behind these associations are unclear. We conducted genetic correlation analyses to explore shared genetic etiology and
Robyn E. Wootton   +217 more
wiley   +1 more source

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