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In communication-intensive applications that run on hosts with high-speed network hardware, a common challenge arises from the significant burden placed on the native socket system within the OS. Researchers have devoted considerable effort to optimizing ...

Convolutional neural networks are data-driven Image Quality Assessment (IQA) models based on the convolutional operation in a rectangular window. Deformable convolutions with learnable receptive fields can efficiently extract structural features ...

• BRB was designed to compensate for the information loss from deep convolutions.
• WNLA is proposed to capture the interaction information between patches.
• Deformable convolutions were stacked to extract more comprehensive features.

A recessed-source (RS) negative capacitance (NC) gate-all-around (GAA) tunneling field effect transistor (RS-NCGAATFET) was proposed to achieve low power consumption and high performance. An additional RS allowed easy control of the operation of ...

Along with the growing size of the power system, the inspection and maintenance of power lines and facilities in complicated environments will be put to a greater test. Currently, more and more research are being done on UAV-based transmission ...

• The multi-wind field modeling in 3D mountain environment was carried out.
• A discrete honey badger algorithm was proposed.
• The task assignment and path planning problem under multiple wind fields was solved.

• Technological innovation for emission reduction affects intertemporal carbon trading.
• Achieve the optimal emission path of an enterprise consistent with the society.
• Design the reasonable and effective parameter of carbon trading ...

Trading carbon emissions is a common strategy for reducing emissions around the world. But its flawless and methodical parameter adjustments and coping strategies nonetheless lack a theoretical grounding when faced with the prospect of ...

With the rapid advancement of wind power, it has that the unpredictability of wind speed and other factors significantly impact the accuracy of wind power prediction. Furthermore, when integrating wind power into the grid, it also affects grid ...

In order to improve the accuracy of multi-step prediction of photovoltaic power under cloudy conditions, this paper proposed a prediction model that combines the K-medoids-Gaussian Mixture Model (KDGMM), Complementary Ensemble Empirical Mode Decompostion ...

Structural magnetic resonance imaging (sMRI) is an essential part of the clinical assessment of patients at risk of Alzheimer dementia. One key challenge in sMRI-based computer-aided dementia diagnosis is to localize local pathological regions ...

• An end-to-end deep framework for joint pathology localization and AD diagnosis.
• Coordinate prediction-based weakly supervised brain atrophy localization.
• Interpolation-based patch cropping is used to ensure gradient ...

Technology advancements directed towards Internet-of-Things (IoT) and wearable computing electronics applications are booming in low-power devices, which requires downscaling of power supply voltage without sacrificing the performance ...

RAB7A (RAS-related in Brain 7A) is an important member of the RAS oncogene family. However, the correlation between RAB7A and the development and immune infiltration of hepatocellular carcinoma (HCC) has rarely been studied. Here, we ...

• RAB7A is upregulated and associated with prognosis in many human cancers.
• RAB7A regulates malignant progression through cell cycle arrest and EMT in HCC.
• PIK3CA-AKT pathway may be involved in the regulation of cell cycle by RAB7A.

Sea surface temperature is an important parameter of ocean hydrology. Accurate prediction of sea surface temperature is of great significance for ocean economic development and extreme weather prevention. Application of deep learning-based method ...

Human body pose estimation represented by joint rotations is essential for driving the virtual characters. The present paper developed a novel end-to-end point-to-pose mesh fitting network (P2P-MeshNet) to directly estimate the body ...

• A novel end-to-end point-to-pose mesh fitting network (P2P-MeshNet) was proposed.

With the technological progress in the field of remote health monitoring and the wide application of wearable ECG monitoring equipment, it is necessary to develop ECG model to analyze the massive ECG data in real time, and the segmentation of ECG signal ...

Data augmentation can effectively expand the number of samples in a dataset and increase the diversity of samples. Image caption refers to the generation of a description statement corresponding to an image, and its accuracy directly affects the ...

In the paper (Han et al. in IEEE Trans Fuzzy Syst 23:2358–2370, 2015), we proposed the bipolar-valued rough fuzzy set in one universe, which is an inevitable improvement by introducing inconsistentbipolarity to rough set. However, the bipolar-...

Unmanned aerial vehicles (UAVs) inspection can be considered as a path planning problem for the UAVs, which needs UAVs to traverse all task points one by one by avoiding some obstacles. In most current researches, only single objective function is ...

The Internet of Vehicles (IoV) has always attracted attention as the emerging communication network with the most development potential in the 5G era. However, the performance of IoV under 5G ultra-dense networks is an open issue, especially in practice ...

Flame image recognition is of great significance in the fire detection and prevention. In this paper, in order to improve the accuracy of fire recognition, a fast stochastic configuration network (FSCN) method based on an improved sparrow search ...

• A fast stochastic configuration network (FSCN) was proposed.
• An improved sparrow search algorithm was proposed with good optimization ability.
• The proposed ISSA-FSCN was applied to the classification of flame images.

• A visual recognition method of apple growth morphology is proposed.
• An improved ...

The work aimed at the visual identification of the growth forms of fruits to facilitate the subsequent use of different harvesting mechanisms for different growth forms of fruits by robots. The improved YOLOv5 deep learning algorithm ...

In recent years, there have been frequent jellyfish outbreaks in many offshore areas worldwide, which have severely affected marine fishery production, coastal tourism, coastal industrial cooling water systems, and marine ecology. Achieving the ...