Pulmonary Embolism (PE) is a serious cardiovascular condition that remains a leading cause of mortality and critical illness, underscoring the need for enhanced diagnostic strategies. Conventional clinical methods hav...
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Volumetric optical coherence tomography (OCT) scans offer detailed visualization of the retinal layers, where any deformation can indicate potential abnormalities. This study introduced a method for classifying ocular...
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As one of the primary products in the field of semiconductor lasers, GaAs-based semiconductor laser devices with an 808nm wavelength are widely applied in various industries such as industrial, medical, and scientific...
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Modeling and computer simulation has emerged as an important tool in education as it provides a platform for students to engage in hands-on learning experiences that are interactive, immersive, and personalized. In th...
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An approach to computer-aided stability investigation of electronic circuits using the general-purpose circuit simulator LTSPICE is proposed. The stability is analysed in the frequency domain according to the Nyquist ...
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This paper focuses on the challenges of modeling and verifying symmetric distributed algorithms with point-to-point and bidirectional communications using the SPIN model checker. In this paper, we first state the prob...
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Convolutional Recurrent Neural Networks (CRNNs) are artificial neural networks used in scientific photo recognition. CRNNs are composed of numerous convolutional and recurrent layers, designed to map enter snapshots t...
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The emergence of big data has completely changed the way data analysis is done. As a result, there is a pressing need for effective clustering algorithms that can handle large datasets from different fields. Efficienc...
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Our heart is one of the most fundamental or significant parts of our body. The heart is responsible for maintaining blood flow and forming it. There are thousands of cases on the planet connected to heart disease. A g...
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The work solves the problem of valve stem position control using a tabular, off-policy Monte Carlo reinforcement learning. The work proposes a model of control valve, involving the stem friction. The control problem i...
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