Results 61 to 70 of about 1,451,519 (348)
Research on road extraction of remote sensing image based on convolutional neural network
EURASIP Journal on Image and Video Processing, 2019 Road is an important kind of basic geographic information. Road information extraction plays an important role in traffic management, urban planning, automatic vehicle navigation, and emergency management.
Yuantao Jiang
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STUDY OF HARDWARE-IMPLEMENTED CONVOLUTIONAL NEURAL NETWORKS OF THE U-NET CLASS
Известия Томского политехнического университета: Промышленная кибернетика, 2023 The authors have developed and implemented two convolutional neural networks of the U-Net class: a modification of the classical U-Net and a UNet with dilated convolutions. For training and testing convolutional neural networks, data sets were used based
Ivan V. Zoev +3 more
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Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Research onconvolutional neural network for reservoir parameter prediction
Tongxin xuebao, 2016 As the branch of artificial intelligence,artificial neural network solved many difficult practical problems in pattern recognition and classification prediction field successfully.However,they cannot learn the feature from networks.In recent years,deep ...
You-xiang DUAN, Gen-tian LI, Qi-feng SUN
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SMT Assembly Inspection Using Dual-Stream Convolutional Networks and Two Solder Regions
Applied Sciences, 2020 The automated optical inspection of a surface mount technology line inspects a printed circuit board for quality assurance, and subsequently classifies the chip assembly defects.
Young-Gyu Kim, Tae-Hyoung Park
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Hardware implementation of a convolutional neural network using calculations in the residue number system [PDF]
Компьютерная оптика, 2019 Modern convolutional neural networks architectures are very resource intensive which limits the possibilities for their wide practical application.
Nikolay Chervyakov +4 more
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Classification of Brain Tumors from MRI Images Using a Convolutional Neural Network
Applied Sciences, 2020 The classification of brain tumors is performed by biopsy, which is not usually conducted before definitive brain surgery. The improvement of technology and machine learning can help radiologists in tumor diagnostics without invasive measures.
Milica M. Badža, M. Barjaktarović
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Interpretable Convolutional Neural Networks [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 This paper proposes a method to modify traditional convolutional neural networks (CNNs) into interpretable CNNs, in order to clarify knowledge representations in high conv-layers of CNNs. In an interpretable CNN, each filter in a high conv-layer represents a certain object part.
Ying Nian Wu +2 more
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Structurally Colored Physically Unclonable Functions with Ultra‐Rich and Stable Encoding Capacity
Advanced Functional Materials, Volume 35, Issue 12, March 18, 2025.This study reports a design strategy for generating bright‐field resolvable physically unclonable functions with extremely rich encoding capacity coupled with outstanding thermal and chemical stability. The optical response emerges from thickness‐dependent structural color formation in ZnO features, which are fabricated by physical vapor deposition ...
Abidin Esidir +8 more
wiley +1 more source
Fault Diagnosis of Rotating Machinery Based on Evolutionary Convolutional Neural Network
Shock and Vibration, 2022 This paper proposes a fault diagnosis method for rotating machinery based on evolutionary convolutional neural network (ECNN). With the time-frequency images as the network input, with the help of the global optimization ability of the genetic algorithm,
Yihao Bai +3 more
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