20,088 Result(s)
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Article
Advanced dairy cow monitoring: enhanced detection with precision 3D tracking
Ensuring the welfare of dairy cows requires precise monitoring of their daily exercise to evaluate their physical health. This necessitates innovative methods beyond traditional motion sensors. We present a no...
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Retraction Note: Does the increase of labor protection intensity promote regional economic growth? Evidence from China
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Global adaptive histogram feature network for automatic segmentation of infection regions in CT images
Accurate and timely diagnosis of COVID-like virus is of paramount importance for lifesaving. In this work, deep learning techniques are applied to lung CT image segmentation for accurate disease diagnosis. We ...
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RALFusion: a residual attention guided lightweight deep-learning framework for infrared and visible image fusion
Infrared and visible image fusion plays an important role in subsequent advanced visual tasks, especially for complex marine environments. To improve the real-time performance of infrared and visible fusion ta...
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An Unequal Clustering Energy Consumption Balancing Routing Algorithm of UAV Swarm Based on Ultraviolet Secret Communication
Focusing on the tasks collaboration requirements of Unmanned Aerial Vehicle (UAV) swarm in complex battlefield environment, it is especially important to ensure the reliability of routing communication within ...
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Article
Security Capacity by Nonlinear Transmission in MIMO Systems for Physical Layer Security
To enhance the information security in multiple input multiple output (MIMO) wireless communication systems, nonlinear transmission is studied in this paper by pushing the power amplifier (PA) at the transmitt...
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Open AccessCOECG-resnet-GWO-SVM: an optimized COVID-19 electrocardiography classification model based on resnet50, grey wolf optimization and support vector machine
Coronavirus disease 2019 (COVID-19) has swiftly spread throughout the globe, causing widespread infection in various countries and regions, and was declared a pandemic by World Health Organization (WHO) in 202...
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A three-stage quality evaluation method for experience products: taking animation as an example
The diversity and dynamics of quality index information bring challenges to quality assessment of experience products. This paper proposes a three-stage quality assessment method based on grounded theory, asso...
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Research on the Gait Phase Analysis Method of Femoral Amputation Patients Based on the Thin Film Pressure Sensor
The running-in of amputees and prostheses usually requires a long time. Many objective evaluation parameters must be obtained to fit prosthetic orthoses on the amputees. Hence, in this paper, a method for anal...
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A multi-scale no-reference video quality assessment method based on transformer
Video quality assessment is essential for optimizing user experience, enhancing network efficiency, supporting video production and editing, improving advertising effectiveness, and strengthening security in m...
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Article
Correction: Efficient integer division computation protocols based on partial homomorphic encryption
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Article
Adaptive Beamformer in Hybrid Massive MIMO Using Reconstructed Spatial Covariance Matrix
In order to compensate for high path loss, massive multiple-input multiple-output (MIMO) has been adopted in wireless communication systems operating at millimeter-wave (mmWave) bands. In particular, analog be...
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Multi-attention gated temporal graph convolution neural Network for traffic flow forecasting
Real-time and accurate traffic flow forecasting plays a crucial role in transportation systems and holds great significance for urban traffic planning, traffic management, traffic control, and more. The most d...
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Photonics joint radar and communication system using dual-band LFM-based signals with opposite chirp polarities
A photonics joint radar and communication (JRC) system using dual-band linear frequency modulation (LFM)-based waveforms is proposed and demonstrated. In the scheme, four optical chirp sidebands are generated ...
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Article
A channel-gained single-model network with variable rate for multispectral image compression in UAV air-to-ground remote sensing
Unmanned aerial vehicle (UAV) air-to-ground remote sensing technology, has the advantages of long flight duration, real-time image transmission, wide applicability, low cost, and so on. To better preserve the ...
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Packet header-based reweight-long short term memory (Rew-LSTM) method for encrypted network traffic classification
With the development of Internet technology, cyberspace security has become a research hotspot. Network traffic classification is closely related to cyberspace security. In this paper, the problem of classific...
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Abnormal operation recognition based on a spatiotemporal residual network
Artificial intelligence technologies have been widely used in many scenarios, however, the detection of abnormal actions in most industrial applications still depends on the recognition of static behaviors, su...
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Feature extraction of trajectories for mobility modeling in 5G NB-IoT networks
Industry applications that support massive mobile nodes are an important part of 5G Narrow Band Internet of Things (NB-IoT). The mobile node is abstracted as a terminal scene with many shapes and complex behav...
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Lower rounds lattice-based anonymous AKA under the seCK model for the IoT
The authenticated key agreement (AKA) method used in the Internet of Things (IoT) provides identity authentication and agreed symmetric keys to encrypt large amounts of communication messages for devices and s...
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Aesthetic feature design and aesthetic quality assessment for group photograph
Image aesthetics quality assessment has received extensive research in recent years, but there are still few studies on the aesthetic quality evaluation of group photograph of humans. In this work, we designed...
