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
Living the Charisms of the Sovereign Military Order of Malta in Modern Medicine:Catholic Healthcare Professionals Enact Malta's Principles in Routine Patient Care. [PDF]
Kozak R.
europepmc +1 more source
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
The crisis of public trust and legitimacy in public health: being successful in a world in turmoil. [PDF]
Jennings B, Gostin LO.
europepmc +1 more source
Art in Science: Alchemy As Seen Through The Eyes of David Teniers the Younger. [PDF]
Friedlaender GE, Friedlaender LK.
europepmc +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
The symbolic value of drugs may not favour rational policy decisions. [PDF]
Lemmens PH, Knibbe R.
europepmc +1 more source
Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)
This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley +1 more source
Evolutionary edge: NOD-like receptors in immunity. [PDF]
Kattner AA.
europepmc +1 more source
Social media and moral panics: Assessing the effects of technological change on societal reaction. [PDF]
Walsh JP.
europepmc +1 more source

