Encrypted network traffic classification plays an important role in today's network security and performance optimization. Through the classification and identification of network traffic, it can better monitor an...
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This research study investigates the impact of parallel programming techniques on the performance of searching and sorting algorithms. Traditional sequential algorithms have been the foundation of data processing for ...
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This paper presents the design of a standalone hybrid renewable energy system (HRES) for a hospital in Lafayette, Indiana, USA, to enhance energy reliability and reduce costs. The proposed system integrates photovolta...
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Nonanticipativity and multi-stage robustness are two important requirements that directly determine the feasibility of the multi-stage scheduling problem of microgrid (MG) with energy storage (ES) and renewables. To t...
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In the galvanization process of strip steel, the removal of floating substances formed within the nose end of the furnace is crucial for improving product quality and production efficiency. Due to the complexity of th...
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Biometric systems, such as facial recognition, are increasingly employed for secure identity verification. However, they are susceptible to morphing attacks, wherein images of different individuals are subtly blended ...
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UGVs are an emerging force of change in autonomous systems, ranging from logistics and agriculture to military applications. So far, there have been a wide number of applications of UGVs for military, civilian, and ci...
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Machine Learning has become more prominent over the years due to advancements in Artificial Intelligence. This paper evaluates the effectiveness of a convolutional neural network (CNN) for image classification on two ...
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The rapid growth of data and the increasing complexity of analytical tasks have necessitated the development of efficient data engineering processes and accelerated learning techniques. Intelligent data engineering an...
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In the field of medicine, fracture identification in medical imaging is a crucial task that has significant effects on patient diagnosis and therapy. Deep learning methods have demonstrated amazing promise in improvin...
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