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An attention-based automatic vulnerability detection approach with GGNN
Vulnerability detection has long been an important issue in software security. The existing methods mainly define the rules and features of...
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Image Analysis of the Automatic Welding Defects Detection Based on Deep Learning
Automatic detection of welding flaws based on deep learning methods has aroused great interest in the non-destructive testing. However, few studies...
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APKOWL: An Automatic Approach to Enhance the Malware Detection
Malicious software (malware) can steal passwords, leak details, and generally cause havoc with users’ accounts. Most of the current malware detection...
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Two-stage complex action recognition framework for real-time surveillance automatic violence detection
Violent action classification in community-based surveillance is a particularly challenging concept in itself. The ambiguity of violence as a complex...
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Automatic Miscalibration Detection and Correction of LiDAR and Camera Using Motion Cues
This paper aims to develop an automatic miscalibration detection and correction framework to maintain accurate calibration of LiDAR and camera for...
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HM_ADET: a hybrid model for automatic detection of eyelid tumors based on photographic images
BackgroundThe accurate detection of eyelid tumors is essential for effective treatment, but it can be challenging due to small and unevenly...
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Automatic detection of health misinformation: a systematic review
The spread of health misinformation has the potential to cause serious harm to public health, from leading to vaccine hesitancy to adoption of...
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Automatic dysarthria detection and severity level assessment using CWT-layered CNN model
Dysarthria is a speech disorder that affects the ability to communicate due to articulation difficulties. This research proposes a novel method for...
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Automatic detection of epilepsy from EEGs using a temporal convolutional network with a self-attention layer
BackgroundOver 60% of epilepsy patients globally are children, whose early diagnosis and treatment are critical for their development and can...
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A CNN-based automatic vulnerability detection
With the advent of the Internet, the activities of individuals and businesses have expanded into the online realm. As a result, vulnerabilities that...
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A reliable automatic cataract detection using deep learning
An eye cataract is a serious condition in which the eye’s lens becomes clouding or less transparent and becomes the global cause of visual...
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A Comprehensive Review on Advancement in Deep Learning Techniques for Automatic Detection of Tuberculosis from Chest X-ray Images
Tuberculosis is an infectious disease caused by a widely spread microbe called Mycobacterium tuberculosis (MTB). Tuberculosis (TB) detection with...
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A three-stage detection algorithm for automatic crack-width identification of fine concrete cracks
Semantic image segmentation is extensively used for automatic concrete crack detection. In previous studies on semantic image segmentation, concrete...
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Automatic and Semi-automatic Bladder Volume Detection in Ultrasound Images
The bladder is the organ that stores urine after the blood is filtered in the kidneys, in the anatomy of mammals. The bladder is usually visualized...
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Automatic Number Plate Detection Using Optimal Black Window Evolutionary Transfer Moth Fly with Alex Net Classification Approach
The Automatic Number Plate Recognition (ANPR) technology can automatically photograph and identify vehicle license plates. It uses advanced computer...
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Deep convolutional spiking neural network fostered automatic detection and classification of breast cancer from mammography images
PurposeBreast cancer (BC) is a leading cause of death among women. Several existing methods on breast cancer classification were suggested with...
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Automatic detection and assessment of crack development in ultra-high performance concrete in the spatial and Fourier domains
Automatic detection and assessment of surface cracks are beneficial for understanding the mechanical performance of ultra-high performance concrete...
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Marine Vision-Based Situational Automatic Ship Detection Using Remote Sensing Images
Object detection or identification is the one of the fundamental problems in computer vision application. Even though, object detection is a...
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Method for automatic detection of movement-related EEG pattern time boundaries
The study was aimed at develo** a new automatic search technique for specific invariant patterns of movement-related brain potentials reflected in...
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Automatic fault detection method for smart grid energy routing nodes
Under the implementation of current hardware of the grid, faults appear frequently in routing nodes and require effective detection. This paper...
