Results 211 to 220 of about 118,357 (248)

ResNet management

Proceedings of the 33rd annual ACM SIGUCCS conference on User services, 2005
Wayne State University (WSU) has implemented network registration and management tools. These tools have matured and become very useful to reduce support costs and maintain continuity of network services for our residential network (ResNet) customers.
Stephen Wassef, Rodrigo Reis, Dragan Lazin   +2 more
openaire   +1 more source

Fault Diagnosis of Rotating Machinery Based on the Improved Multidimensional Normalization ResNet

IEEE Transactions on Instrumentation and Measurement, 2023
Data-driven-based fault diagnosis methods play an increasingly important role in rotating machinery. Among these methods, deep learning is widely concerned due to its strong nonlinear feature learning ability, wherein ResNet is a very powerful model ...
Changbo He, Yujie Cao, Yang Yang, Yongbin Liu, Xianzeng Liu, Zheng Cao   +5 more
semanticscholar   +1 more source

Dest-ResNet

Proceedings of the 26th ACM international conference on Multimedia, 2018
With the ever-increasing urbanization process, the traffic jam has become a common problem in the metropolises around the world, making the traffic speed prediction a crucial and fundamental task. This task is difficult due to the dynamic and intrinsic complexity of the traffic environment in urban cities, yet the emergence of crowd map query data ...
Binbing Liao, Jingqing Zhang, Ming Cai, Siliang Tang, Yifan Gao, Chao Wu, Shengwen Yang, Wenwu Zhu, Yike Guo, Fei Wu   +9 more
openaire   +1 more source

Secure blockchain enabled Cyber-physical systems in healthcare using deep belief network with ResNet model

J. Parallel Distributed Comput., 2021
Cyber-physical system (CPS) is the incorporation of physical processes with processing and data transmission. Cybersecurity is a primary and challenging issue in healthcare due to the legal and ethical perspective of the patient’s medical data. Therefore,
G. Nguyen, Nin Ho Le Viet, M. Elhoseny, K. Shankar, Brij B. Gupta, A. El-latif   +5 more
semanticscholar   +1 more source

Ensemble Multiple Distinct ResNet Networks With Channel-Attention Mechanism for Multisensor Fault Diagnosis of Hydraulic Systems

IEEE Sensors Journal, 2023
Hydraulic systems are widely used in modern industries, and the study of efficient and accurate fault diagnosis techniques for hydraulic systems can help prevent accidents and reduce economic losses.
Xiangyu Peng, Huoyao Xu, Junlang Wang, Jie Liu, Chaoming He   +4 more
semanticscholar   +1 more source

Research into the Application of ResNet in Soil: A Review

Agriculture
With the rapid advancement of deep learning technology, the residual networks technique (ResNet) has made significant strides in the field of image processing, and its application in soil science has been steadily increasing.
Wenjie Wu, L. Huo, Gaiqiang Yang, Xin Liu, Hongxia Li   +4 more
semanticscholar   +1 more source

Adversarial Perturbation with ResNet

Proceedings of the 2020 on Great Lakes Symposium on VLSI, 2020
Most of security issues in deep learning are based on human-imperceptible adversarial perturbation, which can fool image recognition models of deep learning and bring a serious security threats to many practical applications. However, how to construct a universal adversarial perturbation for images is still an open question.
Heng Liu, Linzhi Jiang, Jian Xu, Dexin Wu, Liqun Chen   +4 more
openaire   +1 more source

Wide & ResNet

Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence, 2018
The model Wide & Deep is widely applied for CTR prediction in recommender systems, which unites linear model for memorization and deep neural network for generalization. However, the essence of Wide & Deep still lies in feature engineering, especially in the processing of categorical features, which usually requires manually crafted feature engineering
Xuxu Gao, Hongxia Bie
openaire   +1 more source

GAF Representation of Millimeter Wave Drone RCS and Drone Classification Method Based on Deep Fusion Network Using ResNet

IEEE Transactions on Aerospace and Electronic Systems, 2023
In recent years, with the rapid increase in the number of drones, the abuse of drones for activities such as terrorist attacks is bound to pose a threat to public safety and privacy.
Lv Ye, Shengbo Hu, Tingting Yan, Yike Xie   +3 more
semanticscholar   +1 more source

Utilizing ResNet Architectures for Identification of Tomato Diseases

Journal of Intelligent Decision Making and Information Science
In this study, the effectiveness of various deep learning models in detecting diseases in tomato leaves has been thoroughly evaluated, with a particular emphasis on the ResNet architecture family.
Ismail Kunduracioglu
semanticscholar   +1 more source