Results 21 to 30 of about 627,413 (249)
Coal and Rock Hardness Identification Based on EEMD and Multi-Scale Permutation Entropy
This study offers an efficient hardness identification approach to address the problem of poor real-time performance and accuracy in coal and rock hardness detection.
Tao Liu, Chao Lu, Qingyun Liu, Yiwen Zha
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This research aims to analyze bibliometrically related discourse analysis and communication strategies in sports, especially physical education, sports, and health. The research uses a literature review.
Marselus Robot
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Contact Model of Revolute Joint with Clearance Based on Fractal Theory
The contact stiffness of a mechanical bonding surface is an important parameter in determining the normal and radial contact force. To improve the calculation accuracy of the contact force model, the surface roughness of the bonding surface and the ...
Shi-Hua Li+4 more
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Underwater Acoustically Guided Docking Method Based on Multi-Stage Planning
Autonomous underwater vehicles (AUVs) are important in areas such as underwater scientific research and underwater resource collection. However, AUVs suffer from data portability and energy portability problems due to their physical size limitation.
Hongli Xu+3 more
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A Real-Time and Multi-Sensor-Based Landing Area Recognition System for UAVs
This paper presents a real-time and multi-sensor-based landing area recognition system for UAVs, which aims to enable UAVs to land safely on open and flat terrain and is suitable for comprehensive unmanned autonomous operation.
Fei Liu+3 more
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Extending Driving Vision Based on Image Mosaic Technique
Car cameras have been used extensively to assist driving by make driving visible. However, due to the limitation of the Angle of View (AoV), the dead zone still exists, which is a primary origin of car accidents.
Chen Deng+9 more
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One of the key questions in human–robot interaction research is whether humans perceive robots as intentional agents, or rather only as mindless machines. Research has shown that, in some contexts, people do perceive robots as intentional agents. However,
Roselli Cecilia+3 more
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Pattern Classification Using Quantized Neural Networks for FPGA-Based Low-Power IoT Devices
With the recent growth of the Internet of Things (IoT) and the demand for faster computation, quantized neural networks (QNNs) or QNN-enabled IoT can offer better performance than conventional convolution neural networks (CNNs).
Manas Ranjan Biswal+5 more
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Disruption of SETD3‐mediated histidine‐73 methylation by the BWCFF‐associated β‐actin G74S mutation
The β‐actin G74S mutation causes altered interaction of actin with SETD3, reducing histidine‐73 methylation efficiency and forming two distinct actin variants. The variable ratio of these variants across cell types and developmental stages contributes to tissue‐specific phenotypical changes. This imbalance may impair actin dynamics and mechanosensitive
Anja Marquardt+8 more
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Hierarchical Decomposed-Objective Model Predictive Control for Autonomous Casualty Extraction
In recent years, several robots have been developed and deployed to perform casualty extraction tasks. However, the majority of these robots are overly complex, and require teleoperation via either a skilled operator or a specialised device, and often ...
Roni Permana Saputra+4 more
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