[Retracted] DDoS Attack Detection by Hybrid Deep Learning Methodologies
L Xinlong, C Zhibin - Security and Communication Networks, 2022 - Wiley Online Library
A Distributed Denial of Service (DDoS) attack occurs when large amounts of traffic from
hundreds, thousands, or even millions of other computers are routed to a network or server …
hundreds, thousands, or even millions of other computers are routed to a network or server …
Detection of Commodities Based on Multi-Feature Fusion and Attention Screening by Entropy Function Guidance
A Xie, K Xie, HN Dong, JB He - IEEE Access, 2023 - ieeexplore.ieee.org
Although traditional convolutional neural networks (CNN) have been significantly improved
for target detection, they cannot be completely applied to objects with occlusions in …
for target detection, they cannot be completely applied to objects with occlusions in …
A Novel Deep Learning‐Enabled Physical Education Mechanism
W Wang, J Jiang - Mobile Information Systems, 2022 - Wiley Online Library
Race walking is one of the key events in the Tokyo Olympic Games, and also one of the
strengths of China in athletics events. In recent years, China has made remarkable …
strengths of China in athletics events. In recent years, China has made remarkable …
[Retracted] Online Anomaly Detection of Industrial IoT Based on Hybrid Machine Learning Architecture
J Guo, Y Shen - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
Industrial IoT (IIoT) in Industry 4.0 integrates everything at the level of information technology
with the level of technology of operation and aims to improve Business to Business (B2B) …
with the level of technology of operation and aims to improve Business to Business (B2B) …
Pedestrain Detection Based on Improved CSP Network
Y Xu, X Zong, O Kochan - … on the Experience of Designing and …, 2023 - ieeexplore.ieee.org
This paper presents a method based on improved Cross Stage Partial (CSP) network.
Firstly, the original backbone network Resnet50 of CSP is replaced by Resnet101, which …
Firstly, the original backbone network Resnet50 of CSP is replaced by Resnet101, which …
Deep Quality-Constrained Lstm for Textual Data Analysis
L Li, X Luo - Fractals, 2022 - World Scientific
The creation of language models is a vital object of natural language processing because it
creates a possible distribution in a sequence of words and offers a unique representation of …
creates a possible distribution in a sequence of words and offers a unique representation of …
Action Recognition in Videos using 3D ConvNets with Multi-head Attention
Y Sahin, M Sert - 2023 IEEE Ninth Multimedia Big Data (BigMM …, 2023 - ieeexplore.ieee.org
Deep learning continues to reshape the potential of video action recognition, offering a
robust framework to capture the basics of dynamic human movements. Despite the progress …
robust framework to capture the basics of dynamic human movements. Despite the progress …
G3-2d: A Continuous Gesture Segmentation and Recognition Model to Shoot Gestures from 3d Space to 2d Coordinate System
Z Li, Y Zhang, Z Yang, X Liu, B Yuan - Available at SSRN 4234143 - papers.ssrn.com
As a new research hotspot in computer vision, gesture recognition has wide applications in
smart home, virtual reality, robot control and so on. However, current CV-based gesture …
smart home, virtual reality, robot control and so on. However, current CV-based gesture …