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
Understanding the Biomechanical Properties of Skull Base Tissues Is Essential for the Future of Virtual Reality Endoscopic Sinus and Skull Base Surgery Simulators [PDF]
Valentin Favier +3 more
doaj +1 more source
This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie +12 more
wiley +1 more source
EVALUER LES IMPACTS DU CHANGEMENT CLIMATIQUE SUR LE FONCTIONNEMENT D'UNE AIRE URBAINE LITTORALE : OUTILS D'AIDE A LA REFLEXION ET D'AIDE A LA DECISION EXISTANTS [PDF]
International audienceAux dires des experts du GIEC, le pourtour méditerranéen devrait être, au cours de ce siècle, « un hot spot du changement climatique ».
Dubus, Nathalie +3 more
core +2 more sources
Wirelessly Powered Soft Magnetic Robot with Microneedle for Electrical Stimulation and Drug Delivery
A wirelessly powered soft magnetic robot integrates microneedles to enable dual functions: electrical stimulation (86.7% efficiency at 6 cm, tunable 0–20 V voltage, 0.4–50 ms pulses) and drug delivery. It switches surfaces via magnetic fields for gastrointestinal tract locomotion and treatment, with in vitro validation in fresh pig gut showing ...
Song Zhao +8 more
wiley +1 more source
Former et conseiller les agriculteurs du Nord-Cameroun pour renforcer leurs capacités de prise de décision [PDF]
Au Nord-Cameroun, la libéralisation de l'économie et le désengagement de l'État exigent que les services d'appui à l'agriculture s'orientent vers le renforcement des capacités des producteurs.
Djamen Nana, Patrice +3 more
core
The study presents a low‐cost, noninvasive system for real‐time neonatal respiratory monitoring. A flexible, screen‐printed sensor patch captures chest movements with high sensitivity and minimal drift. Combined with machine learning, the system accurately detects breathing patterns and offers a practical solution for neonatal care in low‐resource ...
Gitansh Verma +3 more
wiley +1 more source
To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen +4 more
wiley +1 more source
Le meilleur des cas dans un ordonnancement de groupes [PDF]
National audienceL'ordonnancement de groupes permet d'introduire une flexibilité séquentielle importante tout en garantissant une certaine qualité dans le pire des cas.
Nasser, Mebarki, Pinot, Guillaume
core +1 more source
Disentangling Coincident Cell Events Using Deep Transfer Learning and Compressive Sensing
Overlapping cells during detection distort single‐cell measurements and reduce diagnostic accuracy. A hybrid framework combining a fully convolutional neural network with compressive sensing to disentangle overlapping signals directly from raw time‐series data is presented.
Moritz Leuthner +2 more
wiley +1 more source

