Results 1 to 10 of about 9,162,295 (188)
Autonomous Internet of Things (IoT) Data Reduction Based on Adaptive Threshold [PDF]
Sensors, 2023 With the development of intelligent IoT applications, vast amounts of data are generated by various volume sensors. These sensor data need to be reduced at the sensor and then reconstructed later to save bandwidth and energy. As the reduced data increase,
Handuo Zhang, Jun Na, Bin Zhang
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Wideband Spectrum Sensing Using Modulated Wideband Converter and Data Reduction Invariant Algorithms [PDF]
Sensors, 2023 Wideband spectrum sensing is a challenging problem in the framework of cognitive radio and spectrum surveillance, mainly because of the high sampling rates required by standard approaches.
Gilles Burel +3 more
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Testing the Effect of Bathymetric Data Reduction on the Shape of the Digital Bottom Model [PDF]
Sensors, 2023 Depth data and the digital bottom model created from it are very important in the inland and coastal water zones studies and research. The paper undertakes the subject of bathymetric data processing using reduction methods and examines the impact of data
Wiktor Mujta +2 more
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CoDR: Correlation-Based Data Reduction Scheme for Efficient Gathering of Heterogeneous Driving Data [PDF]
Sensors, 2020 A variety of deep learning techniques are actively employed for advanced driver assistance systems, which in turn require gathering lots of heterogeneous driving data, such as traffic conditions, driver behavior, vehicle status and location information ...
Junho Park, Yoojin Chung, Jongmoo Choi
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Data reduction in protein serial crystallography [PDF]
IUCrJSerial crystallography (SX) has become an established technique for protein structure determination, especially when dealing with small or radiation-sensitive crystals and investigating fast or irreversible protein dynamics. The advent of newly developed
Marina Galchenkova +9 more
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Data Reduction Strategies [PDF]
, 2021 AbstractBased on the variety of methods available for gathering data for the aircraft health status, the challenge is to reduce the overall amount of data in a trackable and safe manner to ensure that the remaining data are characteristic of the current aircraft status.
Basuraj Bhowmik +4 more
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Applied Sciences, 2022 In this work, we deal with the problem of approximating and equivalently formulating generic nonlinear systems by means of specific classes thereof. Bilinear and quadratic-bilinear systems accomplish precisely this goal.
Ion Victor Gosea
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Comparison of two methodologies for spectra analysis in coincidence neutron activation analysis
Brazilian Journal of Radiation Sciences, 2021 The Research Reactor Center (CERPq) of IPEN-CNEN/SP has been developing a facility for Coincidence Neutron Activation Analysis (CNAA), a variation of the Neutron Activation Analysis technique in which gamma-gamma coincidence is used to reduce spectral ...
Iberê Souza Ribeiro Jr +2 more
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Journal of Synchrotron Radiation, 2022 As synchrotron facilities continue to generate increasingly brilliant X-rays and detector speeds increase, swift data reduction from the collected area detector images to more workable 1D diffractograms becomes of increasing importance. This work reports
Alexander Bernthz Jensen +3 more
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Efficient Mobile Location Tracking and Data Reduction for Proximity Detection Applications
IEEE Access, 2022 The paper considers mobile location tracking and trajectory data reduction techniques for applications pertaining to mobile contact tracing and proximity detection in wireless cellular networks.
Mohamed Adnan Landolsi +2 more
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