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crossrefApplied Sciences2024-04-25Cited by 1

Closing Editorial for Computer Vision and Pattern Recognition Based on Deep Learning

Hui Yuan

Deep learning has demonstrated unparalleled performance in various industries [...]

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crossrefApplied Sciences2023-09-27Cited by 5

Machine Learning and Deep Learning Based Model for the Detection of Rootkits Using Memory Analysis

Basirah Noor, Sana Qadir

Rootkits are malicious programs designed to conceal their activities on compromised systems, making them challenging to detect using conventional methods. As the threat landscape continually evolves, rootkits pose a serious threat by stealthily concealing malicious activities, ma…

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crossrefApplied Sciences2024-02-22Cited by 19

A Pavement Crack Detection Method via Deep Learning and a Binocular-Vision-Based Unmanned Aerial Vehicle

Jiahao Zhang, Haiting Xia, Peigen Li, Kaomin Zhang, Wenqing Hong, Rongxin Guo

This study aims to enhance pavement crack detection methods by integrating unmanned aerial vehicles (UAVs) with deep learning techniques. Current methods encounter challenges such as low accuracy, limited efficiency, and constrained application scenarios. We introduce an innovati…

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crossrefApplied Sciences2023-10-20Cited by 2

The Verification of the Correct Visibility of Horizontal Road Signs Using Deep Learning and Computer Vision

Joanna Kulawik, Mariusz Kubanek, Sebastian Garus

This research aimed to develop a system for classifying horizontal road signs as correct or with poor visibility. In Poland, road markings are applied by using a specialized white, reflective paint and require periodic repainting. Our developed system is designed to assist in the…

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crossrefApplied Sciences2024-11-07Cited by 24

An Accurate Deep Learning-Based Computer-Aided Diagnosis System for Gastrointestinal Disease Detection Using Wireless Capsule Endoscopy Image Analysis

Sameh Abd El-Ghany, Mahmood A. Mahmood, A. A. Abd El-Aziz

Peptic ulcers and stomach cancer are common conditions that impact the gastrointestinal (GI) system. Wireless capsule endoscopy (WCE) has emerged as a widely used, noninvasive technique for diagnosing these issues, providing valuable insights through the detailed imaging of the G…

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crossrefApplied Sciences2024-03-19Cited by 5

Detection of Safety Signs Using Computer Vision Based on Deep Learning

Yaohan Wang, Zeyang Song, Lidong Zhang

Safety signs serve as an important information carrier for safety standards and rule constraints. Detecting safety signs in mines is essential for automatically early warning of unsafe behaviors and the wearing of protective equipment while using computer vision techniques to rea…

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crossrefApplied Sciences2023-08-01Cited by 36

Attention-Based Hybrid Deep Learning Network for Human Activity Recognition Using WiFi Channel State Information

Sakorn Mekruksavanich, Wikanda Phaphan, Narit Hnoohom, Anuchit Jitpattanakul

The recognition of human movements is a crucial aspect of AI-related research fields. Although methods using vision and sensors provide more valuable data, they come at the expense of inconvenience to users and social limitations including privacy issues. WiFi-based sensing metho…

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