Deep-learning-based semi-supervised learning (SSL) methods have achieved a strong performance in medical image segmentation, which can alleviate doctors' expensive annotation by utilizing a large amount of unlabel...
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This study provides a comprehensive examination of the potential benefits of speed and substantial change from integrating health measurement with cloud-based electronic health records (cloud EHRs) to expedite health ...
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A mm-Wave frequency doubler in an SiGe BiCMOS technology is presented. The core of the circuit comprises a push-push pair, for second-harmonic generation, and a stacked common-collector Colpitts oscillator which works...
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This paper explores the use of changepoint detection (CPD) for an improved time-localization of forced oscillations (FOs) in measured power system data. In order for the autoregressive moving average plus sinusoids (A...
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Smart meters measure, control, analyze, and predict the amount of electricity, water, and gas used. In developing countries, where there is no consensus to accept the use of smart meters, there are many possible risks...
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Smart meters measure, control, analyze, and predict the amount of electricity, water, and gas used. In developing countries, where there is no consensus to accept the use of smart meters, there are many possible risks when using smart meters. However, there are also many benefits of smart meters. This study conducts an overall assessment of the demand and impact of the smart meter in the southern region of Vietnam through a survey of 500 samples. This article examines information technology system (IS) related factors and engineering model-related factors according to technical readiness such as optimism, innovation, insecurity, and discomfort. Accompanying that is the expectation of smart meters, for Vietnamese people's intention to constantly use smart meters. Most of the previous studies on smart meter systems have focused on analyzing the impact of factors affecting the application using single-step structural equation modeling (SEM). In this study, it is proposed to use a 2-layer model between the research model of the multi-analysis method by combining the Partial Least Squares - Structural Equation Modeling (PLS-SEM) and Artificial Neural Networks (ANN) model was performed for additional analysis for the results of PLS-SEM, and ANN has higher predictive accuracy than PLS-SEM because ANN has the ability to perform well for both linear relational model and linear relationship model and non-linear with high prediction. First, the PLS-SEM model evaluates the factors affecting the intention to use the smart meter system. Second, the ANN ranks the impact factors of the critical predictors from the PLS-SEM model, and the Critical Performance Map Analysis (IPMA) analyzes the exact results for the critical performance of the variables elements. The results of this study show that the quality of information and quality of system factors of the IS model have a negative impact on users' intention to use smart meters. At the same time, factors of Optimization and innovati
It is critical to manage water supply in a safe and efficient manner. Significant amounts of water are lost each year as a result of leaks in water distribution systems (WDN). As a result, locating leaks in a reliable...
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Feature attribution, the ability to localize regions of the input data that are relevant for classification, is an important capability for ML models in scientific and biomedical domains. Current methods for feature a...
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Feature attribution, the ability to localize regions of the input data that are relevant for classification, is an important capability for ML models in scientific and biomedical domains. Current methods for feature attribution, which rely on "explaining" the predictions of end-to-end classifiers, suffer from imprecise feature localization and are inadequate for use with small sample sizes and high-dimensional datasets due to computational challenges. We introduce prospector heads, an efficient and interpretable alternative to explanation-based attribution methods that can be applied to any encoder and any data modality. Prospector heads generalize across modalities through experiments on sequences (text), images (pathology), and graphs (protein structures), outperforming baseline attribution methods by up to 26.3 points in mean localization AUPRC. We also demonstrate how prospector heads enable improved interpretation and discovery of class-specific patterns in input data. Through their high performance, flexibility, and generalizability, prospectors provide a framework for improving trust and transparency for ML models in complex domains. Copyright 2024 by the author(s)
In our study, we explore methods for detecting unwanted content lurking in visual datasets. We provide a theoretical analysis demonstrating that a model capable of successfully partitioning visual data can be obtained...
Reconfigurable intelligent surfaces (RISs) are recognized as a fundamental enabler for improving energy efficiency in 6G and future networks. However, the power consumption and the reconfiguration delay still need imp...
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ISBN:
(数字)9798350330991
ISBN:
(纸本)9798350331004
Reconfigurable intelligent surfaces (RISs) are recognized as a fundamental enabler for improving energy efficiency in 6G and future networks. However, the power consumption and the reconfiguration delay still need improvement for what is required at GHz frequencies, thus delaying their commercial adaptation. On that regard, this study proposes the incorporation of Integrated Circuits (ICs) with MOS varactor loadings as part of the RIS framework, to improve power consumption and speed, while having precise tuning of the reflection phase for individual unit-cells. The presented circuit design features an asynchronous digital circuit responsible for transmitting binary streams to digital-to-analogue converters, which in turn, bias MOS varactors that are directly connected to each unit-cell within the RIS. The use of asynchronous digital control circuits facilitates the development of ultra-low power, high-speed ICs, thereby enhancing the dynamic scalability of the RIS system. Simulated results of the asynchronous circuit are presented on a mature, cost-effective, CMOS 0.18 μm process technology, showing static power consumption of 40,63 μW, dynamic energy consumption of 474.43 pJ and reconfiguration delay of 23.38 ns. The simulations are accompanied by a scalability analysis and a discussion of potential capabilities, offering valuable insights for the future of ICs on RIS systems. The proposed approach and circuit provide flexibility and performance to RIS systems not achievable with conventional control systems due to their benefits of using clockless networking communication.
Arm-based electrocardiogram (ECG) offers a more comfortable and user-friendly alternative to traditional chest ECG for wearable cardiac monitoring in daily health applications. However, arm ECG faces challenges such a...
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