Found: 12
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Analysis of Polarization Images in the Microphysical Blood Parameters Research for the Hematocrit Diagnostics.
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- Micromachines, 2022, v. 13, n. 12, p. 2241, doi. 10.3390/mi13122241
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- Article
Review of Microfluidic Methods for Cellular Lysis.
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- Micromachines, 2021, v. 12, n. 5, p. 498, doi. 10.3390/mi12050498
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- Article
Low-Cost Three-Dimensionally Printed Inverted Plug and Play Optical Instrument for Microfluidic Imaging.
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- Micro (2673-8023), 2023, v. 3, n. 2, p. 537, doi. 10.3390/micro3020036
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- Article
Generalized Approach to Optimal Polylinearization for Smart Sensors and Internet of Things Devices.
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- Computation, 2024, v. 12, n. 4, p. 63, doi. 10.3390/computation12040063
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- Article
Design and Implementation of a Camera-Based Tracking System for MAV Using Deep Learning Algorithms.
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- Computation, 2023, v. 11, n. 12, p. 244, doi. 10.3390/computation11120244
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- Article
Precision Calibration of Omnidirectional Camera Using a Statistical Approach.
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- Computation, 2022, v. 10, n. 12, p. 209, doi. 10.3390/computation10120209
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- Article
3D LiDAR Based SLAM System Evaluation with Low-Cost Real-Time Kinematics GPS Solution.
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- Computation, 2022, v. 10, n. 9, p. N.PAG, doi. 10.3390/computation10090154
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- Article
Calibration Methods of a Portable Polarizing System for Monitoring Optically Inhomogeneous Media.
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- Computation, 2022, v. 10, n. 8, p. 131, doi. 10.3390/computation10080131
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- Article
COMPARISON OF TIME WARPING ALGORITHMS FOR RAIL VEHICLE VELOCITY ESTIMATION IN LOW SPEED SCENARIOS.
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- Metrology & Measurement Systems, 2017, v. 24, n. 1, p. 161, doi. 10.1515/mms-2017-0012
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- Article
Evaluation of Deep Learning-Based Neural Network Methods for Cloud Detection and Segmentation.
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- Energies (19961073), 2021, v. 14, n. 19, p. 6156, doi. 10.3390/en14196156
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- Article
Linear Interval Approximation of Sensor Characteristics with Inflection Points.
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- Sensors (14248220), 2023, v. 23, n. 6, p. 2933, doi. 10.3390/s23062933
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- Article
Linear Interval Approximation for Smart Sensors and IoT Devices.
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- Sensors (14248220), 2022, v. 22, n. 3, p. 949, doi. 10.3390/s22030949
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- Article