Abstract: The fact that dynamic of the ELF/VLF emission reflect the some peculiarities of the Earth crust. It was discovered the appearance of the simultaneous anomalous bursts of noise intensity (0.1 ...
Abstract: Based on deep learning, object detection networks provide an accurate and sensitive method for ensuring the factory quality of insulation pull rods (IPRs). However, the stability of network ...
Abstract: 3-D point cloud registration is a prerequisite for scene reconstruction and 3-D object recognition in computer vision and remote sensing. Numerous previous studies have presented a series of ...
Abstract: Accurate extraction of tunnel lining is crucial for deformation monitoring, damage detection, and tunnel modeling. However, the extraction of tunnel lining is still challenging due to the ...
Abstract: In this article, we present the statistical analysis of data from inexpensive sensors. We also present the performance of machine learning algorithms when used for automatic calibration of ...
Abstract: The RLS and RLS-DCD algorithms are commonly used for adaptive filtering applications due to their fast convergence even under correlated inputs. RLS-DCD is a numerically robust and easy to ...
In this repository, you will find my solutions to the pattern-based programming problems recommended by Striver. Each solution is implemented in C++. These problems are carefully selected to cover a ...
Abstract: This study aims to evaluate and compare various types of data augmentation in drone object detection using the YOLOv5 algorithm. Data augmentation is an important technique in image data ...
Abstract: Land surface temperature (LST) is a key factor in monitoring and improving thermal environments. However, conventional LST retrieval algorithms have not sufficiently accounted for the cavity ...
Abstract: Sea ice concentration (SIC) has been monitored with passive microwave (PM) observations for decades. Various techniques have been developed for its improvement. While techniques such as ...
Catecholaminergic polymorphic ventricular tachycardia (CPVT) is a rare inherited arrhythmia, with pathogenic variants in the RYR2 gene responsible for 60% of clinically well-defined CPVT cases.