Results 61 to 70 of about 5,510,322 (305)
MostafaNabieh/Convolutional-Neural-Network-CNN: CNN Project
, 2020 Cnn project by Tensorflow ...
Mostafa Nabieh, Mostafa Nabieh (8597619)
core +1 more source
RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance [PDF]
, 2022 Coronary artery disease (CAD) is a prevalent disease with high morbidity and mortality rates. Invasive coronary angiography is the reference standard for diagnosing CAD but is costly and associated with risks.
Shoeibi, Afshin +17 more
core +1 more source
International Journal of Food Properties, 2023 This study presents a comparison of prediction performances by an artificial neural network (ANN), well-known deep convolutional neural network (D-CNN) models, and four proposed shallow convolutional neural network (S-CNN) models to forecast three key ...
Hae-Il Yang +8 more
doaj +1 more source
Implementation of Deep Learning for Handwriting Imagery of Sundanese Script Using Convolutional Neural Network Algorithm (CNN) [PDF]
, 2022 Aksara Sunda becomes one of the cultures of sundanese land that needs to be preserved. Currently, not all people know Aksara Sunda because of the shift in cultural values and there is a presumption that Aksara Sunda is difficult to learn because it has a
Suhada, Satia +4 more
core +2 more sources
Structural Damage Detection Based on One-Dimensional Convolutional Neural Network
Applied Sciences, 2022 This paper proposes a structural damage detection method based on one-dimensional convolutional neural network (CNN). The method can automatically extract features from data to detect structural damage.
Zhigang Xue, Chenxu Xu, Dongdong Wen
doaj +1 more source
IMPLEMENTASI CONVOLUTIONAL NEURAL NETWORK (CNN) BERBASIS TENSORFLOW UNTUK PENGENALAN UCAPAN [PDF]
, 2021 Aplikasi pengenalan ucapan sudah mulai banyak diadopsi dan digunakan oleh banyak masyarakat di seluruh dunia untuk memudahkan berbagai aktivitas, salah satu contohnya adalah Google Assistant buatan Google.
Dotulong, Cleonart A.E +2 more
core
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
Deep Learning Approaches on Defect Detection in High Resolution Aerial Images of Insulators
Sensors, 2021 By detecting the defect location in high-resolution insulator images collected by unmanned aerial vehicle (UAV) in various environments, the occurrence of power failure can be timely detected and the caused economic loss can be reduced.
Qiaodi Wen +4 more
doaj +1 more source
Convolutional Neural Network (CNN) with Randomized Pooling
, 2022 Abstract Convolutional Neural Network (CNN) is a deep learning approach to solve complex problems, and it has been widely used in image processing for image classification, object identification, semantic segmentation etc. It has overcome the constraint of traditional machine learning approaches.
Hafiz Imran +2 more
openaire +1 more source
AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks [PDF]
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018 In order to address the overfitting problem caused by the small or simple training datasets and the large model’s size in Convolutional Neural Networks (CNNs), a novel Auto Adaptive Regularization (AAR) method is proposed in this paper. The relevant networks can be called AAR-CNNs. AAR is the first method using the “abstraction extent” (predicted by AE
Yao Lu 0008 +3 more
openaire +2 more sources