Digital zero-noise extrapolation (dZNE) has emerged as a common approach for quantum error mitigation (QEM) due to its conceptual simplicity, accessibility, and resource efficiency. In practice, however, properly appl...
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We discover a first-order phase transition in the canonical ensemble of random unlabeled networks with a prescribed average number of links. The transition is caused by the nonconcavity of microcanonical entropy. Abov...
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With the ubiquitous acceptance of PVs, the number of devices manufactured annually is following an exponential trend. Yet, the manufacturing process of important brands of thin-film solar cells involves a tedious and ...
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Radio-frequency interference is a growing concern as wireless technology advances, with potentially life-threatening consequences like interference between radar altimeters and 5G cellular networks. Mobile transceiver...
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Serious security and privacy problems have arisen as a result of significant advancements in the creation of deepfakes. Attackers can easily replace a person’s face with the target person’s face in an image using so...
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The demand for high-frequency soft magnetic composites with elevated permeability and flexibility is growing for applications in microwave absorbers and magnetodielectric antennas. However, balancing high permeability...
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This paper introduces an alternative technique for diagnosing Acute Ischemic Stroke within the IoMT environment. In the proposed approach, the collected data is transmitted to a cloud-based center where the technique ...
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ISBN:
(数字)9798350351408
ISBN:
(纸本)9798350351415
This paper introduces an alternative technique for diagnosing Acute Ischemic Stroke within the IoMT environment. In the proposed approach, the collected data is transmitted to a cloud-based center where the technique utilizes EfficientNet, a deep learning model, designed to extract features from MRI images thereby enhancing the detection of acute ischemic infarctions. The performance of EfficientNet is compared against two other models, CNN and MobileNet, demonstrating its superior efficacy through metrics such as accuracy, precision, recall, and F1-score, which stand at 92.31%, 92.28%, 92.33%, and 92.30%, respectively.
Partially reflective surface (PRS) resonant antennas have attracted much attention over the past two decades. However, the gain enhancement with them is limited. In this paper, the field distribution on the surface of...
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Partially reflective surface (PRS) resonant antennas have attracted much attention over the past two decades. However, the gain enhancement with them is limited. In this paper, the field distribution on the surface of PRS antennas is studied. It is demonstrated that the aperture sizes with PRS resonator antennas are limited by the resonant PRS height. The strategy to improve the gain performance of PRS antennas is proposed.
Generation of defects leads to performance degradation of silicon solar cells. However, ab initio simulations of defect structures are constrained by system size, while the representative simulations of amouphous sili...
Generation of defects leads to performance degradation of silicon solar cells. However, ab initio simulations of defect structures are constrained by system size, while the representative simulations of amouphous silicon (aSi) require a large amount of computation because of the wide distribution of relevant local structures. We propose a machine learning-based approach to replace the quantum mechanical ab initio calculations to identify defect formation in aSi-related structures. We demonstrate that with a correlated set of descriptors and a representative set of training data, the machine learning method can identify localized defects in structures containing Si-H structures with high fidelity.
We present a recently developed method for electron paramagnetic resonance (EPR) measurements in the THz spectral range. The method is based on spectroscopic ellipsometry and thus requires no cavity, unlike convention...
We present a recently developed method for electron paramagnetic resonance (EPR) measurements in the THz spectral range. The method is based on spectroscopic ellipsometry and thus requires no cavity, unlike conventional EPR. This permits us to scan the frequency parameters in addition to the magnetic field parameters. To showcase this, both frequency and magnetic field scans are performed on Fe-doped GaN, and the results are compared to previous work that used conventional EPR to study the same defect.
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