QT interval carries essential information about ventricular depolarization and repolarization. Therefore, in many investigations, it is vital to determine the QT interval accurately and monitor the corresponding QT in...
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This research explores the performance of two-phase classification methods in intrusion detection systems (IDS) with various algorithms, including SVM + Naive Bayes, Random Forest + KNN, and other combinations. This r...
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Image processing has become an important tool in various fields of human activity. One of its important applications lies in the determination of the size and dimensions of an object. Thus, in the present paper, we de...
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This paper presents the results of an empirical study investigating the impact of unit test quality on the following aspects of software development: the development time, the ability to solve all tasks, the perceived...
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This Ambient Assisted Living (AAL) uses technology to improve the well-being, autonomy, and security of seniors and disabled individuals. AAL services depend on Human Activity Recognition to detect human behaviors fro...
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In this paper, the design of fixed-wing autonomous UAVs is aimed. The goal is to lock onto rival UAVs during the competition, avoid these locks with aggressive maneuvers, and perform the designated tasks autonomously....
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Nowadays,cloud computing provides easy access to a set of variable and configurable computing resources based on user demand through the *** computing services are available through common internet protocols and netwo...
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Nowadays,cloud computing provides easy access to a set of variable and configurable computing resources based on user demand through the *** computing services are available through common internet protocols and network standards.n addition to the unique benefits of cloud computing,insecure communication and attacks on cloud networks cannot be *** are several techniques for dealing with network *** this end,network anomaly detection systems are widely used as an effective countermeasure against network *** anomaly-based approach generally learns normal traffic patterns in various ways and identifies patterns of *** anomaly detection systems have gained much attention in intelligently monitoring network traffic using machine learning *** paper presents an efficient model based on autoencoders for anomaly detection in cloud computing *** autoencoder learns a basic representation of the normal data and its reconstruction with minimum ***,the reconstruction error is used as an anomaly or classification *** addition,to detecting anomaly data from normal data,the classification of anomaly types has also been *** have proposed a new approach by examining an autoencoder's anomaly detection method based on data reconstruction *** the existing autoencoder-based anomaly detection techniques that consider the reconstruction error of all input features as a single value,we assume that the reconstruction error is a *** enables our model to use the reconstruction error of every input feature as an anomaly or classification *** further propose a multi-class classification structure to classify the *** use the CIDDS-001 dataset as a commonly accepted dataset in the *** evaluations show that the performance of the proposed method has improved considerably compared to the existing ones in terms of accuracy,recall,false-positive rate,and F1-score
A rise in blood sugar (glucose) levels above normal ranges is the major sign of diabetes. Diabetes develops when the body's ability to absorb glucose into cells for energy declines, resulting in an accumulation of...
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The aim of this review is to explore the relationship between the architecture of microservices and antisocial behavior. Microservice architecture is a software design approach that involves decomposing a system into ...
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With the growing popularity of Object-Realational Mapping (ORM) Frameworks, the performance requirements of the applications that implement them are also growing. Thus, it is necessary to examine whether our proposed ...
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