Results 61 to 70 of about 86,091 (310)
Frontiers in Computational Neuroscience, 2021 The convolutional neural networks (CNNs) are a powerful tool of image classification that has been widely adopted in applications of automated scene segmentation and identification. However, the mechanisms underlying CNN image classification remain to be
Yufeng Zheng +4 more
doaj +1 more source
Shaping Carbon Nitrides for Advanced Macrostructures
Advanced Materials Technologies, EarlyView.This review examines how carbon nitride can be shaped through a range of printing and interfacial assembly methods. By bringing together additive manufacturing and liquid–liquid structuring concepts, carbon nitride is moving beyond its traditional powder‐based photocatalyst form toward digitally designed robust macroscale architectures with high design
Simona Baluchová, Baris Kumru
wiley +1 more source
Video‐based action recognition using spurious‐3D residual attention networks
IET Image Processing, 2022 Recently, 3D Convolutional Neural Networks (3D CNNs) have attracted extensive attention in extracting spatial and temporal features in videos for their efficient feature extraction ability.
Bo Chen +4 more
doaj +1 more source
deep-projects/camelyon-cnns: 0.1-zenodo
, 2019 <p>Version 0.1-zenodo</p ...
Christoph Jansen, Klaus Strohmenger
core +1 more source
, 2021 Convolutional neural networks (CNNs) have played a prominent role in recent years in the field of computational vision, becoming the dominant approach for recognition and detection tasks.
Ferreira, Vitor Finotti
core +1 more source
At Home Detection of Ovarian Health Biomarker in Menstruation Blood
Advanced Materials Technologies, EarlyView.A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon +3 more
wiley +1 more source
Indian Journal of Public HealthBackground: The burden of wasting among under five children in India, has not reduced in the last decade. Objectives: We used child-level data from the latest nationally representative Comprehensive National Nutritional Survey (CNNS) to estimate the ...
Tarun Shankar Choudhary +7 more
doaj +1 more source
Morphological properties of reconstructed CNNs.
, 2016 Morphological properties of reconstructed CNNs.
Laurens Witter (3350393) +2 more
core +1 more source
3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
Advanced Robotics Research, EarlyView.Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source
Bibliometric Analysis of the Application of Convolutional Neural Network in Computer Vision
IEEE Access, 2020 This article analyzes the research progress in field of Convolutional Neural Networks (CNNs) using the bibliometric method. Literature samples of CNNs are analyzed by a basic statistic and co-citation network.
Huie Chen, Zhenjie Deng
doaj +1 more source