Single-cell multimodal technologies are becoming the hot topic of single-cell heterogeneity and function studies, promising to unravel the hidden relationship and functionalities of different aspects of the cells. Amo...
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Transportation remains a significant contributor to greenhouse gas emissions, with a substantial proportion originating from road transport and passenger travel in particular. Today, the relationship between transport...
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Semantic communications offer promising prospects for enhancing data transmission efficiency. However, existing schemes have predominantly concentrated on point-to-point transmissions. In this paper, we aim to investi...
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Channel controlled automatic retransmission request (CC-ARQ) has shown potential in reducing complexity and bit error rate (BER) in wireless links. In this paper, we design an ARQ protocol transmission scheme for OCDM...
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The aim of quantum metrology is to exploit quantum effects to improve the precision of parameter estimation beyond its classical limit. In this paper, we investigate the quantum parameter estimation problem with multi...
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The aim of quantum metrology is to exploit quantum effects to improve the precision of parameter estimation beyond its classical limit. In this paper, we investigate the quantum parameter estimation problem with multiple channels. It is related but not limited to the following two important and practical quantum metrology problems:(i) Quantum enhanced metrology with control, whose aim is to improve the precision of quantum sensing by utilizing feedback or open-loop control;(ii) Practical quantum metrology where the underlying evolution of quantum probes may change from a unitary dynamics to an open system dynamics,owing to the inevitable decoherence during the quantum sensing operation. For various kinds of quantum multiple channels, the corresponding quantum channel Fisher information is derived. To demonstrate the results, some illustrative examples are given.
Nowadays, Permanent Magnet Assisted Synchronous Reluctance Motor, is a favorable alternative for variable speed drive systems. It has the advantages of comparable costs, low maintenance requirements, and superior effi...
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Our comprehension of video streams depicting human activities is naturally multifaceted: in just a few moments, we can grasp what is happening, identify the relevance and interactions of objects in the scene, and fore...
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Considering the high energy consumption problem in the wastewater treatment process, this paper proposes a multi-objective optimization control scheme based on NSGA-II algorithm. The proposed scheme can not only ensur...
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Deep neural networks (DNNs) are increasingly used in critical applications from healthcare to autonomous driving. However, their predictions were shown to degrade in the presence of transient hardware faults, leading ...
Deep neural networks (DNNs) are increasingly used in critical applications from healthcare to autonomous driving. However, their predictions were shown to degrade in the presence of transient hardware faults, leading to potentially catastrophic and unpredictable errors. Consequently, several techniques have been proposed to increase the fault tolerance of DNNs by modifying network structures and/or training procedures, thereby reducing the need for costly hardware redundancy. There are, however, design or training choices whose impact on fault propagation has been overlooked in the literature. In particular, self-supervised learning (SSL), as a pretraining technique, was shown to improve the robustness of the learned features, resulting in better performance in downstream tasks. This study investigates the fault tolerance of several SSL techniques on image classification benchmarks, including several related to Earth Observation. Experimental results suggests that SSL pretraining, alone or in combination with fault mitigation techniques, generally improves DNNs' fault tolerance, although the performance gap vary among datasets and SSL techniques.
Due to the increasing rate of high-impact low-frequency (HILF) events, power systems are more vulnerable against the destructive climate events compared to other infrastructures. From this point of view, the primary f...
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