The dominant pathology theory holds that dementia results from amyloid buildup, followed by tau protein aggregation and neurodegeneration. Current anti-amyloid and anti-tau therapies, however, show varied therapeutic ...
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The integration of IoT technology provides realtime, data-driven monitoring that reduces waste and maintains the quality of the food, changing the way food is preserved and managed. This research focuses on the develo...
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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 increasing integration of sources of renewable energy and the growing demand for reliable and efficient power system has led to a surge in interest in and the deployment of DC microgrids. DC microgrids offer numer...
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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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With the increase of the complexity of the equipment system, the failure rate is also increasing, so how to quickly diagnose and predict the fault of the equipment and then eliminate the fault is an effective guarante...
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With the increase of the complexity of the equipment system, the failure rate is also increasing, so how to quickly diagnose and predict the fault of the equipment and then eliminate the fault is an effective guarantee to maintain the smooth operation of the equipment. For the purpose of solving the problems of low fault location accuracy, slow speed and low fault prediction accuracy of expert system in the past, a inference machine based on HAL matching algorithm and a fault prediction method based on grey system and neural network were designed. The results show that this research improves the problems of too many matching nodes, slowspeed and low accuracy of fault prediction by fault diagnosis inference machine. It provides effective support for quickly finding the fault cause of the equipment system and accurately locating the fault point, and also provides a means for fast fault prediction.
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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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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Based on the study of CS-ACELP speech compression algorithm and mute detection technology, we propose a new mute detection scheme. Based on short-time average amplitude and short-term average over zero rate, it distin...
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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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