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An efficient novel paradigm for object detection through web camera using deep learning (YOLOv5’s object detection model) [PDF]
E3S Web of Conferences, 2023 Object detection, a fundamental duty in computer vision that has a wide range of practical applications, they are surveillance, robotics, and autonomous driving.
K Chidananda +5 more
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Accuracy improvement of cloning area detection
Trudy Odesskogo Politehničeskogo Universiteta, 2016 In the work the modification of a method of detection and localization of regions of the integrity violation in the digital image obtained as a result of cloning is developed. Aim: The aim of the work is to increase the accuracy of detection of integrity
Ye.Yu. Lebedeva +2 more
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About JPEG Images Parameters Impact to Steganalys Accuracy
Кібернетика та комп'ютерні технології, 2021 Introduction. Existing examples of illegal use of computer steganography prove the need for the development of stegananalytical methods and systems as one of the most important areas of cybersecurity.
N. Koshkina
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An Improved YOLOv5 Algorithm for Vulnerable Road User Detection
Sensors, 2023 The vulnerable road users (VRUs), being small and exhibiting random movements, increase the difficulty of object detection of the autonomous emergency braking system for vulnerable road users AEBS-VRUs, with their behaviors highly random.
Wei Yang +4 more
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Defect detection of printed circuit board based on lightweight deep convolution network
IET Image Processing, 2020 With the rapid development of the electronic industry, the defect detection of printed circuit board (PCB) components is becoming more and more important.
Jiaquan Shen, Ningzhong Liu, Han Sun
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Point spread character based low SNR single pixel infrared target detection
The Journal of Engineering, 2019 Robust and efficient low signal-to-noise ratio (SNR) single pixel infrared (IR) target detection has been a key technique in IR searching and tracking system. However, there exist two critical difficulties, i.e. noise disturbance and low contrast between
Jinghong Nan +4 more
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Vehicle-Damage-Detection Segmentation Algorithm Based on Improved Mask RCNN
IEEE Access, 2020 Traffic congestion due to vehicular accidents seriously affects normal travel, and accurate and effective mitigating measures and methods must be studied.
Qinghui Zhang +2 more
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Research on the excitation method of symmetrical spiral online detecting sensor of metal debris
The Journal of Engineering, 2019 By connecting the symmetrical spiral inductive sensor to the oil return pipeline of the lubricating oil, a full flow online detection of the size, quantity and other parameters of the tiny metal debris particles in the lubricating oil solution is ...
Yuhai Gu +3 more
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Comparison of Supervised Machine Learning Algorithms for Malware Detection
Journal of Computing Research and Innovation, 2023 Due to the prevalence of security issues and cyberattacks, cybersecurity is crucial in today's environment. Malware has also evolved significantly over the past few years.
Mohd Faris Mohd Fuzi +3 more
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Sensors, 2019 High detection accuracy in piezoelectric-based force sensing in interactive displays has gained global attention. To achieve this, artificial neural networks (ANN)—successful and widely used machine learning algorithms—have been demonstrated ...
Shuo Gao +4 more
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