[HTML][HTML] Classification of High-Altitude Flying Objects Based on Radiation Characteristics with Attention-Convolutional Neural Network and Gated Recurrent Unit …

D Dai, L Cao, Y Liu, Y Wang, Z Wu - Remote Sensing, 2023 - mdpi.com
In the task of classifying high-altitude flying objects, due to the limitations of the target flight
altitude, there are issues such as insufficient contour information, low contrast, and fewer …

UAV Detection and Identification Using a Convolutional Neural Network

I Stancic, T Juric - 2024 9th International Conference on Smart …, 2024 - ieeexplore.ieee.org
UAVs may pose intentional or unintentional risks to airspace safety or violate non-flying
zones in the vicinity of vulnerable ground objects. Detecting and identifying UAV threats is a …

Multiple Flying Object Detection using AlexNet Architecture for Aerial Surveillance Applications

A Bajpai, V Srivastava, S Yadav… - 2023 14th International …, 2023 - ieeexplore.ieee.org
In the past few years, drones have been used in military applications. Flying objects, such as
mini UAVs, are increasingly being used maliciously by terrorists, criminals, and smugglers …

[PDF][PDF] Sustav za prepoznavanje bespilotnih letjelica upotrebom konvolucijskih neuronskih mreža

T Jurić - 2022 - bib.irb.hr
Zadatak: Prikupiti bazu slika koja sadrži razne leteće objekte, što uključuje i bespilotne
letjelice. Označiti položaje i klasu objekata na odabranim slikama. Po potrebi proširiti bazu …

Effects of Sampling Length and Overlap Ratio on EEG Mental Arithmetic Task Performance: A Comparative Study

S Oran, E Yıldırım - Gazi University Journal of Science, 2024 - dergipark.org.tr
Cognitive tasks have become quite popular in recent years. Understanding this sort of
neurological research, its real-world applications, and how it may be improved in future …