With the rapid growth of internet technologies, IT businesses are transferring to cloud-based systems, and cloud-based services are in high demand among internet users. Therefore, appropriate allocation of resources i...
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Behavioral-Based Meal Optimizer is a Dietary Recommendation System that is aimed at creating customized meal plan based on a demographic information (Age, Gender, Geographic Location, Meal Preferences, Allergies) and ...
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Value decomposition methods are effective for multi-agent reinforcement learning (MARL), with QMIX being one of the most advanced. However, it struggles with scalability and flexibility in large-scale agent systems. T...
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In complex environments, the accuracy and robustness of single-mode optoelectronic sensors in target detection and tracking are often limited. This article proposes an algorithm optimization method that combines multi...
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PDF malware is a significant threat to computer security. The purpose of this study is to introduce a new approach for improving the security of PDF readers. The method utilizes transfer learning by leveraging existin...
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Air quality monitoring is gaining increasing importance as awareness about the health impacts of air pollution continues to grow. These monitors typically track air pollutants to give users a clearer picture of their ...
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The advent of the Internet of Things (IoT) has transformed the way devices communicate, with an ever-increasing need for seamless interoperability and energy-efficient communication. This paper presents a unified omni...
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With the advent of bioinformatics, cancer research has entered a new age wherein vast amounts of complex biological data can be interpreted to create powerful treatments. This approach has exceptionally improved the i...
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The medicinal plant market faces challenges due to inefficiencies and a lack of transparency. In this paper, a total of 10GB dataset with 10,000 entries, including 15 attributes such as plant name, region, price, and ...
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Background: Anomaly detection is essential for detecting unusual behaviors in dynamic networks that may represent emerging security threats. Traditional models focus on First-Order Network representations that overloo...
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