Results 271 to 280 of about 3,605,315 (303)

Hybrid particle swarm training for convolution neural network (CNN)

2017 Tenth International Conference on Contemporary Computing (IC3), 2017
Convolutional Neural Networks(CNN) are one of the most used neural networks in the present time. Its applications are extremely varied. Most recently they have been proving helpful with deep learning, as well. Since it is growing in more convoluted domains, its training complexity is also increasing.
Yoshika Chhabra, Sanchit Varshney, Ankita   +2 more
openaire   +1 more source

Classifiers Comparison for Convolutional Neural Networks (CNNs) in Image Classification

2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 2019
This paper presents a comparison between five different classifiers (Multi-class Logistic Regression (MLR), Support Vector Machine (SVM), k-Nearest Neighbor (kNN), Random Forest (RF) and Gaussian Naive Bayes (GNB)) to be used in a Convolutional Neural Network (CNN) in order to perform images classification.
Mauro Tropea, Giuseppe Fedele
openaire   +3 more sources

Convolutional Neural Networks (CNNs) for Medical Imaging

The chapter delves into the transformative impact of Convolutional Neural Networks (CNNs) on medical imaging, highlighting their ability to enhance diagnostic accuracy, streamline workflows, and enable real-time image analysis. It provides a comprehensive overview of CNN architectures, their principles, and their integration into diverse medical ...
S. Aishwarya, C. Selvamurugan, K. G. Parthiban, J. Manoj Prabhakar, K. K. Lakshmikandhan, J. Tharik Raja   +5 more
openaire   +1 more source

DL-CNN: Double Layered Convolutional Neural Networks

Proceedings of the 24th International Conference on Enterprise Information Systems, 2022
Lixin Fu 0001, Rohith Rangineni
openaire   +2 more sources

Convolutional Neural Networks (CNN)

2023
openaire   +1 more source

Convolutional neural networks (CNNs)-based multi-category damage detection and recognition of high-speed rail (HSR) reinforced concrete (RC) bridges using test images

Engineering Structures, 2023
Lizhong Jiang
exaly  

1D convolutional neural networks and applications: A survey

Mechanical Systems and Signal Processing, 2021
Daniel J Inman, Türker Ince, Moncef Gabbouj   +2 more
exaly  

Effectiveness of Learning Systems from Common Image File Types to Detect Osteosarcoma Based on Convolutional Neural Networks (CNNs) Models

Journal of Imaging, 2022
Sirima Mongkolsomlit, Nitikarn Nimsuk, Chanunya Loraksa   +2 more
exaly  

Convolutional Neural Networks (CNN) for Predictive Analytics

2023
Phillip A. Laplante, Satish Mahadevan Srinivasan   +1 more
openaire   +1 more source

Geographical discrimination and adulteration analysis for edible oils using two-dimensional correlation spectroscopy and convolutional neural networks (CNNs)

Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 2021
Zhiyong Gong, Zhenzhen Xia
exaly