Implementation of an artificial intelligence approach to GPR systems for landmine detection

OA Pryshchenko, V Plakhtii, OM Dumin, GP Pochanin… - Remote Sensing, 2022 - mdpi.com
Artificial Neural Network (ANN) approaches are applied to detect and determine the object
class using a special set of the UltraWideBand (UWB) pulse Ground Penetrating Radar …

Discrete Tomography Approach for Subsurface Object Detection by Artificial Neural Network

O Pryshchenko, O Dumin… - 2022 IEEE 2nd Ukrainian …, 2022 - ieeexplore.ieee.org
The problem of the underground object detection by short impulse electromagnetic wave is
presented in this work. The plane electromagnetic wave is incident on the boundary …

[PDF][PDF] Використання надширокосмугових електромагнітних хвиль та штучного інтелекту для виявлення металевих та діелектричних підповерхневих об'єктів

ОА Прищенко - karazin.ua
Харківський національний університет імені ВНКаразіна Міністерст Page 1
Харківський національний університет імені ВНКаразіна Міністерство освіти і науки …

Development of a Low-Cost Arduino-Driven Drone for Rapid Search and Rescue in Philippine Terrain

LR Bermoy, MAM Ganzon… - … Research Journal of …, 2024 - search.proquest.com
Search and rescue (SAR) operations in the Philippines are often hampered by challenging
terrains and the high costs associated with advanced technology. To address these issues …

[图书][B] Analysis and implementation of low fidelity radar-based remote sensing for unmanned aircraft systems

M Duck - 2022 - search.proquest.com
Radar-based remote sensing is consistently growing, and new technologies and
subsequent techniques for characterization are changing the feasibility of understanding the …