Compressive sensing has emerged as an area that opens new perspectives in signal acquisition and processing. It appears alternative to the traditional sampling theory, endeavoring reduce required number of samples for successful reconstruction. In practice, compressive aims provide saving resources, transmission, storage capacities facilitate processing circumstances when certain data are unavailable. To end, relies on mathematical algorithms solving problem reconstruction from a greatly...

The nature of Holocene temperature changes is controversial because the apparent discrepancy between global reconstructions and climate modelling results. Here we present evidence indicating that can be attributed to combination seasonal biases in proxy records insufficient understanding mechanisms within models. We obtained independently dated mean annual air (MAAT) based on glycerol dialkyl tetraethers (GDGTs) from Bangong Co western Qinghai‐Tibetan Plateau (QTP) two loess‐palaeosol...

The distribution of medical supplies tied to the government-owned nonprofit organizations (GNPOs) is crucial sustainable and high-quality development emergency response public health emergencies. This paper constructs a two-sided GNPO–hospital game model in Chinese context, explores strategies influencing factors supply emergencies based on evolutionary theory. results show that: (1) GNPOs, as distributor supplies, should choose that balance efficiency equity much possible. (2) Hospitals,...

Inverse distance weighting (IDW) interpolation and viewshed are two popular algorithms for geospatial analysis. IDW assigns geographical values to unknown spatial points using from a usually scattered set of known points, identifies the cells in raster that can be seen by observers. Although implementations both available different scales input data, computation large-scale domain requires mass amount cycles, which limits their usage. Due growing popularity graphics processing unit (GPU)...

With increasing requirements on traffic efficiency, environmental quality, energy and economic productivity, intelligent transportation systems (ITS) research, which is centered state evaluation, meets two grand challenges. One to process heterogeneous data collected from different types of sensors the other reduce high computation intensity for processing massive data. To overcome both challenges, this paper proposes an approach using parallelized fusion multisensor Parallelized embodied...

Compressive sensing (CS) has been widely applied in signal processing field, especially for image reconstruction tasks. CS simplifies the sampling and compression procedures, but leaves difficulty to nonlinear reconstruction. Traditional algorithms are usually iterative, having a complete theoretical foundation. Nevertheless, these iterative suffer from high computational complexity. The fashionable deep network-based methods can achieve high-precision with satisfactory speed short of...

Magnetic sensing technology is crucial for non-contact distance and position measurement. Due to the nonlinear characteristics of magnetic fields from permanent magnets, conventional sensors struggle with accurate determination. To address this, we propose a distance/position sensor that employs customized back propagation (BP) neural network. By detecting field variations induced by magnet, proposed can effectively model mapping between strength distance, thereby enabling precise...

Abstract As the power grid continues to evolve, waveforms of residual currents within are becoming increasingly complex. Timely detection and processing these cur-rents is crucial for ensuring personal safety, protecting property, maintaining stability electrical systems. This paper proposes a current method based on adaptive Gaussian filtering address signals with complex waveforms. By adaptively adjusting standard deviation function, can signif-icantly enhance denoising performance,...

Organic matter distribution patterns and soil aggregate stability (SAS) are critical factors for comprehending the environmental evolution of reservoirs their surroundings. However, it remains unclear how SAS aggregate-related N C respond to external (e.g., land use, water level fluctuation) in newly formed reservoirs' buffer strips. In this work, we examined impacts distance from watercourse different use types on organic before after seasonal fluctuations (in April June 2021) Chushandian...

ABSTRACT Consistency regularization methods based on uncertainty estimation are a promising strategy for improving semi‐supervised medical image segmentation. However, existing consistency often neglect comprehensive feature extraction from both low and high regions. Additionally, the lack of class separability in segmentation limits learning more robust representations unlabeled images. To address these issues, this paper proposes novel framework named Dual‐Region Learning with Contrastive...

Early-stage pneumonia is not easily detected, leading to many patients missing the optimal treatment window. This because segmenting lesion areas from CT images presents several challenges, including low-intensity contrast between and normal areas, as well variations in shape size of areas. To overcome these we propose a segmentation network called DECE-Net segment lesions automatically. The adds an extra encoder path U-Net, where one extracts features original image with attention...

The Tibetan Plateau (TP) has numerous glaciers that provide water for more than one-third of the world's population. Reconstructing past temperature change on TP provides a valuable context assessing current and possible future status glaciers. However, quantitative paleotemperature records since last deglaciation are sparse. Moreover, existing have revealed conflicting Holocene variation patterns northeastern western TP. Quantitative central would be essential better understanding...

This paper presents the quantitative analysis of signal-to-noise ratio (SNR) for local polynomial Fourier transform (LPFT) used application inverse synthetic aperture radar (ISAR) imaging. The relationship between LPFT and Wigner-Ville distribution (WVD) is derived theoretical on SNR achieved by using given. Comparisons performances LPFT, short-time (STFT) (FT) are presented to illustrate merits LPFT. Measures also taken minimize required computational complexity reducing overlap length...