Results 31 to 40 of about 102,874 (306)
Convolutional Neural Networks using FPGA-based Pipelining
Iraqi Journal for Computer Science and Mathematics, 2023 In order to speed up convolutional neural networks (CNNs), this study gives a complete overview of the use of FPGA-based pipelining for hardware acceleration of CNNs.
Gheni A. Ali, ahmed hussein ali
doaj +1 more source
Diagnostics, 2022 (1) Background: The present study aims to evaluate and compare the model performances of different convolutional neural networks (CNNs) used for classifying sagittal skeletal patterns.
Haizhen Li +4 more
doaj +1 more source
Focused Quantization for Sparse CNNs [PDF]
, 2020 Deep convolutional neural networks (CNNs) are powerful tools for a wide range of vision tasks, but the enormous amount of memory and compute resources required by CNNs pose a challenge in deploying them on constrained devices.
core +2 more sources
CNNs-based hybrid learning framework.
, 2018 CNNs-based hybrid learning framework.
Chun Yang (251691) +4 more
core +1 more source
A Simple Neural Network Approach to Mineral Potential Mapping Using Open Gravity Data [PDF]
E3S Web of ConferencesAs a fundamental approach in machine learning, neural networks have evolved through phases of emergence, relative dormancy, and subsequent flourishing since their inception.
Ji Jiaxin
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P-CNN: Pose-Based CNN Features for Action Recognition [PDF]
2015 IEEE International Conference on Computer Vision (ICCV), 2015 ICCV, December 2015, Santiago ...
Chéron, Guilhem +2 more
openaire +4 more sources
Evaluation of the benchmark datasets for testing the efficacy of deep convolutional neural networks
Visual Informatics, 2021 In the past decade, deep neural networks, and specifically convolutional neural networks (CNNs), have been becoming a primary tool in the field of biomedical image analysis, and are used intensively in other fields such as object or face recognition ...
Sanchari Dhar, Lior Shamir
doaj +1 more source
Automatic Cough Detection from Audio Signals Using Deep Learning and Hybrid CNN–SVM Models [PDF]
EPJ Web of ConferencesCoughing is a natural physiological reflex that helps maintain respiratory health by clearing the airways of irritants, fluids, and pathogens. It also serves as a key clinical indicator for various respiratory conditions, including asthma, infections ...
Barkani Fatima +2 more
doaj +1 more source
Adaptive Deep Learning for Soft Real-Time Image Classification
Technologies, 2021 CNNs (Convolutional Neural Networks) are becoming increasingly important for real-time applications, such as image classification in traffic control, visual surveillance, and smart manufacturing.
Fangming Chai, Kyoung-Don Kang
doaj +1 more source
Arthritis Care &Research, Accepted Article.Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein +3 more
wiley +1 more source