Results 221 to 230 of about 118,357 (248)

A Lightweight Bearing Compound Fault Diagnosis Method With Gram Angle Field and Ghost-ResNet Model

IEEE Transactions on Reliability
To address the problem of large parameters in the ResNet model, this article proposes a rolling bearing fault diagnosis method with gram angle field (GAF) and Ghost-ResNet.
Yingkui Gu, Ronghua Chen, Peng Huang, Jun-jie Chen, Guangqi Qiu   +4 more
semanticscholar   +1 more source

A hybrid attention improved ResNet based fault diagnosis method of wind turbines gearbox

Measurement, 2021
It is significant to boost the performance of fault diagnosis of wind turbine gearboxes. In this paper, a hybrid attention improved residual network (HA-ResNet) based method is proposed to diagnose the fault of wind turbines gearbox by highlighting the ...
Kai Zhang, B. Tang, Lei Deng, Xiaoli Liu
semanticscholar   +1 more source

Deep Embedded Clustering with ResNets

2021 14th International Conference on Human System Interaction (HSI), 2021
Clustering is an AI technique that has been successfully applied to the abundance of unlabelled real-world data for revealing hidden patterns and knowledge extraction. Deep Embedded Clustering (DEC) is a deep Autoencoder (AE) based model that learns feature representations and cluster assignments simultaneously.
Chathurika Wickramasinghe, Daniel Marino, Milos Manic   +2 more
openaire   +1 more source

An intelligent diagnostic method of ECG signal based on Markov transition field and a ResNet

Comput. Methods Programs Biomed., 2023
BACKGROUND AND OBJECTIVE Heart disease seriously threatens human life and health. It has the character of abruptness and is necessary to accurately monitor and intelligently diagnose electrocardiograph signals in real-time.
Lipeng Ji, Zhonghao Wei, Jian Hao, Chunli Wang   +3 more
semanticscholar   +1 more source

MST-ResNet: A Multiscale Spatial Temporal ResNet for Steering Prediction

2019 2nd China Symposium on Cognitive Computing and Hybrid Intelligence (CCHI), 2019
Over the years, autonomous driving has attracted more and more interest from academia and industry. The field involves a lot of technologies, including SLAM, object detection and end to end driving decision. In this paper, our goal is to make driving decisions based on visual models, which is a hot topic both in computer vision and autonomous driving ...
Long Wen, Yang Zhao, Shuguang Li, Hong Cheng, Chen Zhang   +4 more
openaire   +1 more source

G-ResNet: Improved ResNet for Brain Tumor Classification

2019
The brain tumors, are the most common and aggressive disease, leading to a short life expectancy and much pain. Timely and accurate diagnosis is the key factor in improving the survival rate of patients. The main method of identifying brain tumors is to analyze MR image that provides detailed information about brain structure and anomaly detection in ...
Dunsheng Liu, Yuanning Liu, Liyan Dong
openaire   +1 more source

CO-ResNet: Optimized ResNet model for COVID-19 diagnosis from X-ray images

International Journal of Hybrid Intelligent Systems, 2021
This paper focuses on the application of deep learning (DL) based model in the analysis of novel coronavirus disease (COVID-19) from X-ray images. The novelty of this work is in the development of a new DL algorithm termed as optimized residual network (CO-ResNet) for COVID-19.
Bharati, Subrato, Podder, Prajoy, Mondal, M. Rubaiyat Hossain, Prasath, V.B. Surya   +3 more
openaire   +2 more sources

Performance evaluation of ResNet model for classification of tomato plant disease

Epidemiologic Methods, 2023
Objectives The plant tomato (Solanum Lycopersicum) is vastly infected by various diseases. Exact diagnosis on time contributes a significant job to the good production of tomato crops.
Sachin Kumar, S. Pal, Vijendra Pratap Singh, P. Jaiswal   +3 more
semanticscholar   +1 more source

Outsourcing the student resNet

Proceedings of the 32nd annual ACM SIGUCCS conference on User services, 2004
This paper describes the problems Ithaca College faced in continuing to provide service and support for the student residential network (ResNet). It also details the rationale and decision making process to outsource ResNet and outlines the timeline of events needed to make the change by the beginning of the Fall 2004 semester.
Pearle, Wendy, Rugg, Elizabeth
openaire   +1 more source

DenseNet на основе ResNet

ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ, 2023
DenseNet (плотно связанная сверточная сеть) - это плотная высокоточная нейронная сеть, предложенная в 2017 году. Успех сети ResNet показывает, что укороченные соединения в сверточных сетях позволяют обучать более глубокие и точные модели [1].
openaire   +1 more source