Pneumonia is still considered as a major worldwide healthcare hazard which needs immediate treatment and timely and precise identification. The research paper shows the method for the precise identification of the dis...
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The application of computer image virtual reality technology in civil engineering has very obvious practicability. In this paper, one of the AutoCAD 3D models of virtual simulation is built with the help of a computer...
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Motor neuron diseases, such as Amyotrophic Lateral Sclerosis (ALS), pose challenges to individuals' motor abilities, limiting computer interactions. This research addresses this by utilizing eye gaze technology in...
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The purpose of this study is to investigate the importance of momentum in tennis and how it can be effectively utilized to account for fluctuations in the game. First, player performance is quantified based on a logis...
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Aiming at the adaptation problem of distributed queue protocol in LoRa, this paper designs an improved networking method, which realizes the recognition of contention state through node random code, and optimize the s...
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The classification and parameters estimation of forward error correction (FEC) codes are significant in non-cooperative communication. Previous solutions suffer from poor noise resistance or only applicable to closed-...
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The development and optimisation of energy-efficient communication protocols that are specifically adapted for Internet of Things (IoT) devices is the focus of this research. The proliferation of interoperable bias ha...
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Early brain stroke detection is essential for improved results and prompt treatments. Standared techniques work suggests a novel method for machine learning that makes use of CT or MRI scans images. In orderly to trai...
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In recent years, methods to detect bogus reviews have attracted the attention of numerous businesses and educational organizations. In order for reviews to accurately represent genuine user experiences and opinions, i...
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This research investigates the application of Structured State Space Sequence Models (SSMs), particularly the Mamba architecture, for brain tumor segmentation in MRI scans. The Mamba model uses selective state spaces ...
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