In this paper, we study a UAV-enabled MEC system to address the issue of energy depletion. Ground Devices (GDs) within its service area can benefit from computation offloading provided by the UAV outfitted with an MEC...
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The Dynamic Beam Emitter (DBE) is an emitter with a narrow beamwidth and time-varying beam rotation that can be utilized for illicit communication via satellite internet in unsupervised conditions. Therefore, it is cr...
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The sense of smell, or olfaction, can enhance brain-computer interfaces (BCIs). Different scents can be assigned to specific commands to allow users to interact with technology naturally, but challenges remain. Accura...
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In this paper, we propose a novel method for masked comparison using register rotation technique without masking conversions. In key encapsulation mechanisms (KEMs), ciphertext comparison is essential to ensure the se...
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Predictive maintenance is a crucial factor of commercial enterprise operations that ensures and minimizes the failure rate of machinery and equipment. however, the shortcomings of many machine-mastering fashions have ...
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In HE-stained images, nuclear segmentation and classification are critical tasks for disease diagnosis and prognosis, which is of great significance [1]. The high intraclass morphological variability and interclass nu...
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In cloud-edge collaborative working mode, application services are affected by complex components, configuration and deployment conditions and other multi-dimensional factors. Therefore, it's important to use simu...
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As the most common disaster in human daily production and life, fire is very likely to threaten people's life and property safety. In order to avoid fire, this paper designs and implements a fire detection system ...
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In non-sinusoidal operating scenarios, the broadband coil equivalent circuit model is essential for analyzing the operational state of devices or systems. This paper develops a circuit model consisting of multiple res...
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Federated learning, as a distributed machine learning method, enables data sets from different clients to train high-quality models without leaving the local area. However, in the process of federation learning to upl...
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