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Detection of Fake News Using Machine Learning
In social networks, news is consumed has many consequences for the individual, society and organizations. Fake news on social media and other media...
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Deep Learning for Pit Detection in Cherries
The following paper presents the results of studies on deep-learning methods for pit detection in cherries. The general concept of a vision system...
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Continuous Wavelet Transform-Based Ballistocardiogram Beat Detection for RR Interval Estimation
Ballistocardiography (BCG) is one of various noninvasive methods used for measuring the cardiac’s activity. On the contrary to electrocardiography...
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An Effective Transformation-Encoding-Attention Framework for Multivariate Time Series Anomaly Detection in IoT Environment
The emergence of the Internet of Things (IoT) has realized the connection between objects and the Internet, realized intelligent identification and...
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Network Intrusion Detection Using Neural Network Techniques
A network intrusion (NIDS) detection system is an essential element of Internet security. It plays a major role in detecting malicious attacks and...
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Real-time structural crack detection in buildings using YOLOv3 and autonomous unmanned aerial systems
An innovative approach for efficient and controlled drone-based building inspection has been introduced in this work. By integrating hardware and...
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Fake News Detection: A Study
The struggle of organisations from all fields to find practical answers for identifying online-based fake news is a prevalent problem right now. The...
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Detection of myocardial infarction using Shannon energy envelope, FA-MVEMD and deterministic learning
Myocardial infarction (MI) poses a significant clinical challenge, necessitating expeditious and precise detection to mitigate potentially fatal...
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Yolo-sd: simulated feature fusion for few-shot industrial defect detection based on YOLOv8 and stable diffusion
Defect detection from images, an important application in the development of the industrial internet, has been gaining increasing attention due to...
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Hybrid Malicious Encrypted Network Traffic Flow Detection Model
Encrypted communication technology has evolved as the network, and Internet applications have advanced. Malicious communication, on the other hand,...
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Enneaontology: Toward an Enneagram Personality Detection
Personality prediction catches research attention nowadays. In social media, attracting more users means getting more advertisements. Enneagram is a...
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Advancements and Challenges in Deepfake Video Detection: A Comprehensive Review
Deepfake is a technique that takes advantage of deep learning techniques to make incredibly convincing phony videos or photos, frequently including...
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Intrusion Detection in Software-Defined Networking Using Machine Learning Models
Software-defined networking (SDN) is a new networking paradigm developed to reduce network complexity via control and management of the network from...
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An Advanced Comparative Study of Ransomware Anomaly Detection Techniques Through Optimized Hyperparameters
Ransomware attacks have emerged as a challenging threat in today's digital landscape, triggering worry among individuals or businesses and causing...
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SVM-Based Vehicle Number Plate Detection and Recognition
The amount of automobiles has dramatically expanded during the last few decades. The number of user road cars has increased as a result of the rising...
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Length and width of low-light, concrete hairline crack detection and measurement using image processing method
Cracks on the concrete surface indicate the degradation of the structure. So, we should be very careful with the maintenance of the concrete surface;...
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Detection of COVID-19 Infection Using Convolutional Neural Network
Coronavirus disease (COVID-19) is a newly discovered viral sickness that can be fatal. The majority of patients will experience mild to severe...
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Network Intrusion Detection Using Machine Learning
With the rapid growth in the use of computer networks, the issues of maintaining a network also increase. Moreover the attackers keep changing their...
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Image-based and risk-informed detection of Subsea Pipeline damage
As one of the most important assets in the transportation of oil and gas products, subsea pipelines are susceptible to various environmental hazards,...
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Stiffness Improvement of Aerostatic Bearing by Separating-Pad-Based Passive Compensation
With the development of ultra-precision machining technology, the aerostatic bearings with high stiffness are needed urgently. This paper proposes a...
