In the industrial sectors, machines and sensors communicate with each other and with the control or central units through the Internet;this forms a network of Industrial devices called the Industrial Internet of Thing...
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Distributed Denial of Service (DDoS) attacks pose severe risks to large networks by disrupting services. Effective detection and response are crucial. Despite progress, current DDoS detection methods need improvement ...
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Real-time systems are complex to design and implement. Various modelling and simulation techniques are employed to make this task more structured and efficient. However, there is often a disconnect between modeling fo...
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This paper proposes a distributed framework for simplifying smart pilot signal assignment in cellular massive Multiple-Input Multiple-Output (MIMO) networks, aiming to reduce the complexity of pilot decontamination th...
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We derive the likelihood functions and the maximum likelihood (ML) detectors for single-input double-output (SIDO) communication systems. The received signals are contaminated by a Gaussian noise and a non-Gaussian si...
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Nowadays Smart grids utilize digital controllers to guarantee the reliable and efficient operation of their components. However, the numerical simulation of these types of controllers is challeng.ng due to the numerou...
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The practice of testing in modeling and simulation software development can be a very leng.hy and tedious process but is arguably one of the most important phases in the software development lifecycle. As the complexi...
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Federated Learning (FL) is a decentralized machine learning strategy that ensures training data stays on personal devices while also facilitating collaborative machine learning of complicated models among dispersed de...
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Visible body signals are utilised to communicate through gestures, which are effective and common non-verbal methods of communication. The identification of meaningful expressions of human body parts is known as gestu...
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This research introduces an automated road extraction model utilizing deep learning techniques for high-resolution aerial imagery. Focused on applications in urban planning, disaster management, and logistics, the stu...
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