Results 141 to 150 of about 38,691,296 (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 Scalable and Resource‐Efficient Pipelined p‐Computer for Probabilistic Ising Machines
(a) Block diagram of the portfolio optimization problem: given M assets, the goal is to determine the optimal weights w that maximize the expected return (based on the mean historical assets return u), while minimizing the risk, quantified by the assets covariance matrix S.
Deborah Volpe +9 more
wiley +1 more source
Economic Burden of Type 1 Diabetes in France. [PDF]
Cosson E +9 more
europepmc +1 more source
Aide à la décision technico économique
La connaissance du fonctionnement des systèmes de production et l'aide à la décision technico-économique passent par une démarche sectorielle au niveau des unités de production elles ...
Serpantié, Georges
core
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad +5 more
wiley +1 more source
Liver Subcapsular Hematoma Conservative Treatment in HELLP (Hemolysis, Elevated Liver Enzymes, and Low Platelet Count) Syndrome: A Case Report. [PDF]
Gómez Vega EA +4 more
europepmc +1 more source
National audienceLe programme MICA (Modèles intégrés pour les agricultures caribéennes) d'élaboration d'un outil d'aide à la décision publique pour l'agriculture guadeloupéenne s'est proposé de répondre au besoin crucial d'outils de pilotage dans la ...
Diman, J.L. +7 more
core
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Integrated work processes between community health workers and vector control agents: a scoping review. [PDF]
Silva KSD +4 more
europepmc +1 more source

