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Published in 2024 at "npj Computational Materials"
DOI: 10.1038/s41524-025-01764-6
Abstract: Solid electrolytes with fast ion transport are crucial for solid state lithium metal batteries. Chemical doping has been the most effective strategy for improving ion condictiviy, and atomistic simulation with machine-learning potentials helps optimize doping…
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Keywords:
solid electrolytes;
deep potential;
pre trained;
trained deep ... See more keywords
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Published in 2017 at "Journal of the Acoustical Society of America"
DOI: 10.1121/1.4988431
Abstract: Recent work has shown that a machine learning algorithm can produce large speech intelligibility in noise increases for hearing-impaired listeners. This algorithm involves a deep neural network trained through supervised learning to estimate the ideal…
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Keywords:
deep neural;
network;
network implemented;
trained deep ... See more keywords
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Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13085102
Abstract: There are many pre-trained deep learning-based face recognition models developed in the literature, such as FaceNet, ArcFace, VGG-Face, and DeepFace. However, performing transfer learning of these models for handling face sketch recognition is not applicable…
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Keywords:
sketch;
face sketch;
trained deep;
fine tuning ... See more keywords
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Published in 2025 at "Cancers"
DOI: 10.3390/cancers17010121
Abstract: Simple Summary This study explores the use of pre-trained deep learning models for classifying brain MRI images into four categories: Glioma, Meningioma, Pituitary, and No Tumor. The study uses a publicly available Brain Tumor MRI…
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Keywords:
pre trained;
transfer learning;
trained deep;
tumor ... See more keywords