Results 181 to 190 of about 1,115,420 (368)

Predicting Performance of Hall Effect Ion Source Using Machine Learning

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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

Retracted: Can the chemical industry solve the climate change?On the role of human energy production, renewable energies, and the potential of chemistry as a solution provider

open access: yesChemie Ingenieur Technik, EarlyView., 2023
Let us consider an alternative perspective on climate change: The sum of solar radiation and heat generated by human activity result in a net energy input of 1.96 times that of the Sun on the Earth's surface. The expanding global population is expected to exacerbate this issue. Potential solutions are proposed, including replacement and heat recycling.
Martin Bertau, Gerald Steiner
wiley   +1 more source

RefineCatDiff: Toward High‐Quality Medical Image Segmentation via a Categorical Diffusion Refinement Framework

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes RefineCatDiff, a refinement framework for high‐quality medical image segmentation. By developing a categorical distribution‐based discrete diffusion process for refinement, the framework aligns well with the characteristics of image segmentation tasks. Experimental results on multiple datasets across different modalities demonstrate
Feng Liu   +8 more
wiley   +1 more source

Self‐Supervised Learning‐Based Framework for Speckle Reduction of Optical Coherence Tomography Images Using Frame Interpolation

open access: yesAdvanced Intelligent Systems, EarlyView.
In summary, a self‐supervised end‐to‐end framework for OCT image despeckling is proposed, without access to unpaired noisy–clean images or paired noisy–noisy images for training. The despeckling performance has been evaluated on 150 subjects from five retina datasets (121 subjects) and one middle ear dataset (29 subjects). Optical coherence tomography (
Zhiyi Jiang   +3 more
wiley   +1 more source

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