Results 181 to 190 of about 253,866 (247)
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu +2 more
wiley +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Backbone agnostic Pareto evidential networks for trustworthy fault diagnosis and out of distribution detection. [PDF]
Shi J, Tang M, Tan L.
europepmc +1 more source
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez +19 more
wiley +1 more source
Theta Transcranial Alternating Current Stimulation Over the Dorsomedial Prefrontal Cortex Does Not Enhance Long-Term Memory. [PDF]
Chitic D +4 more
europepmc +1 more source
Integration of affective cues in context-rich and dynamic scenes varies across individuals. [PDF]
Ortega J, Murai Y, Whitney D.
europepmc +1 more source
Emotion induction by western music across personality types using internet of things technology. [PDF]
Ru D, Wei Z.
europepmc +1 more source

