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Optimizing Forest Aboveground Biomass Models with Multi-Parameter Integration [PDF]
SensorsForests constitute a fundamental component of terrestrial carbon stocks and play a pivotal role in mitigating climate change through carbon sequestration.
Xinyi Liu, Yang Zhao
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A Miniaturized Multi-Parameter Synchronous Observation System for In Situ Ocean Turbulence Measurement [PDF]
SensorsA miniaturized (70 × 7.7 cm) multi-parameter synchronous observation system was developed for in situ ocean turbulence measurement, integrating micro-electromechanical system (MEMS)-based two-dimensional (2D) turbulence, pressure, temperature ...
Weihong Ouyang +2 more
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Aerospace, 2023 This research presents a novel data-based multi-parameter health assessment method to meet the growing need for the in-orbit health assessment of satellite components.
Yongchao Hui +3 more
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Multi-Parameter Sensors Based on Optical Reflective Coupler Probe
IEEE Photonics Journal, 2022 We propose and demonst rate multi-parameter sensors based on optical reflective coupler probe (ORCP), for detection of liquid level, temperature, and refractive index (RI).
Yufang Chen +4 more
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Agriculture, 2022 In order to realize the demand for high-quality and high-efficiency harvest in modern agriculture, the grain combine harvesters must have the ability to intelligently adjust the operation parameters.
Yang Li +4 more
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IEEE Access, 2023 Far-field detection has been widely used in biomedical diagnosis, security inspection, such as MRI, ultrasonic, SPECT, X-ray, etc. However, the near-field detection has yet to be well established.
Jia-Kang Wu +8 more
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Micromachines, 2022 In the harsh environment of high temperature and high rotation, a single parameter is difficult to satisfy the multi-parameter test requirements of aerospace metallurgy.
Xiaorui Liang +4 more
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Multi-parameter Tikhonov regularization [PDF]
Methods and Applications of Analysis, 2011 We study multi-parameter Tikhonov regularization, i.e., with multiple penalties. Such models are useful when the sought-for solution exhibits several distinct features simultaneously. Two choice rules, i.e., discrepancy principle and balancing principle, are studied for choosing an appropriate (vector-valued) regularization parameter, and some ...
Kazufumi Ito +2 more
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Applied Sciences, 2020 Manufacturing quality prediction can be used to design better parameters at an earlier production stage. However, in complex manufacturing processes, prediction performance is affected by multi-parameter inputs.
Jun Deng, Yun Bai, Chuan Li
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Energies, 2022 In order to solve the problems of long-time consumption and high energy consumption in existing capacity detection methods of retired Ni-MH batteries, a fast and reliable capacity prediction method for retired Ni-MH batteries by multi-parameter driven ...
Hongling Liu +4 more
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