A fully optically integrated Mixture-of-Experts (MoE) system is introduced to address the explosive growth in computational power demands in the development of artificial intelligence technologies. Here, we highlights...
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Community coding algorithms had been demonstrated to have capability to improve the performance of wireless networks. This paper offers a research, assessment, and implementation of community coding algorithms for Wi-...
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Recent years have seen the rise of big data workflow management solutions as widespread data analytic platforms for handling massive amounts of data in the cloud. However, keeping information private and ensuring the ...
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As an important cornerstone of future information and communication technology, the computing power network cleverly integrates cloud resources, third-party computing devices, and various heterogeneous computing resou...
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The significance of cybersecurity resides in its ability to safeguard individuals and enterprises against cyberattacks, as well as the unauthorized acquisition or misplacement of confidential and classified data. Cybe...
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ISBN:
(纸本)9789819780501;9789819780518
The significance of cybersecurity resides in its ability to safeguard individuals and enterprises against cyberattacks, as well as the unauthorized acquisition or misplacement of confidential and classified data. Cybersecurity includes the ability to employ monitoring systems to safeguard personal data, financial information, trade secrets, intellectual property, and any sensitive government information. By establishing robust cybersecurity protocols, we can enhance our ability to safeguard against a wide range of online threats. In the present age, nearly every industry is utilizing the services of diverse machine learning and deep learning models to forecast, analyze, or produce outcomes with greater optimization and efficiency. Thus, we have employed the capacity of machine learning in the task of identifying and classifying malicious software. In this paper, we propose a machine learning-envisioned malware attack detection mechanism for edge computing-based networks. The practical implementation of the proposed technique is also provided, along with the performance comparison of several existing methods for the assigned intrusion detection task. The proposed scheme achieved the highest accuracy value as compared to the other existing methods.
Reconfigurable add/drop multiplexer (ROADM) nodes based on wavelength selective switch (WSS) technologies support the upgrading of the agile optical network. The liquid crystal on silicon (LCoS) module with pure phase...
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Data processing and publication are crucial today with the advancements in technologies such as edge computing and IoT(Internet of Things). A vast volume of data is being generated by internet-connected devices, often...
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In the current competitive environment, businesses are looking at how to lower their IT expenses while simultaneously improving their productivity and flexibility to respond quickly to changes in their operational pro...
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The integration of Security information and Event Management (SIEM) systems with Zero Trust Architecture (ZTA) represents a significant advancement in cybersecurity, combining the real-time monitoring and analytical c...
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The current work MineShark-AI is an Artificial Intelligence-driven platform designed to respond to text queries and provide comprehensive regulatory information for the mining industry. Leveraging natural language pro...
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