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Comparative Fault Location Estimation by Using Image Processing in Mixed Transmi ...
The distance protection relays are used to determine the impedance based fault location according to the current and voltage magnitudes in the transmission lines. However, the fault location cannot be correctly detected in mixed ... Read More >
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Determination of Fault Location in Transmission Lines with Image Processing and ...
In order to transmit electrical energy in a continuous and quality manner, it is necessary to control it from the point of production to the point of consumption. Therefore, protection of transmission and distribution lines is e ... Read More >
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Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to ...
Background and Objective:Computer-aided diagnosis (CAD) systems promote diagnosis effectiveness and alleviate pressure of radiologists. A CAD system for lung cancer diagnosis includes nodule candidate detection and nodule malign ... Read More >
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A bi-atrial statistical shape model for large-scale in silico studies of human a ...
Large-scale electrophysiological simulations to obtain electrocardiograms (ECG) carry the potential to produce extensive datasets for training of machine learning classifiers to, e.g., discriminate between different cardiac path ... Read More >
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LVCNet: Efficient Condition-Dependent Modeling Network for Waveform Generation
In this paper, we propose a novel conditional convolution network, named location-variable convolution, to model the dependencies of the waveform sequence. Different from the use of unified convolution kernels in WaveNet to capt ... Read More >
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A Data-Driven Energy Storage System-Based Algorithm for Monitoring the Small-Sig ...
In this paper, we propose a data-driven energy storage system (ESS)-based method to enhance the online small-signal stability monitoring of power networks with high penetration of intermittent wind power. To accurately estimate ... Read More >
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Stochastic AC Network-constrained Scheduling of CAES and Wind Power Generation i ...
In this paper, a two-stage stochastic day-ahead (DA) scheduling model is proposed incorporating wind power units and compressed air energy storage (CAES) to clear a co-optimized energy and reserve market. The two-stage stochasti ... Read More >
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Electromagnetic Model of Reflective Intelligent Surfaces
An accurate and simple analytical model for the computation of the reflection amplitude and phase of Reconfigurable Intelligent Surfaces is presented. The model is based on a transmission-line circuit representation of the RIS w ... Read More >
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MedAug: Contrastive learning leveraging patient metadata improves representation ...
Self-supervised contrastive learning between pairs of multiple views of the same image has been shown to successfully leverage unlabeled data to produce meaningful visual representations for both natural and medical images. Howe ... Read More >
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Observer Design for Linear Aperiodic Sampled-Data Systems: A Hybrid Systems Appr ...
Observer design for linear systems with aperiodic sampled-data measurements is addressed. To solve this problem, a novel hybrid observer is designed. The main peculiarity of the proposed observer consists of the use two output i ... Read More >