Deep Semantic Feature Extraction to Overcome Overlapping Frequencies for Instrument Recognition in Indonesian Traditional Music Orchestras

D Nurdiyah, EM Yuniarno, SA Wulandari… - IEEE …, 2024 - ieeexplore.ieee.org
In Indonesian traditional music, specifically Gamelan, overlapping fundamental frequencies
occur among different instruments due to certain tones being tuned in the same octaves …

[HTML][HTML] Analysis of distance and environmental impact on UAV acoustic detection

D Tejera-Berengue, F Zhu-Zhou, M Utrilla-Manso… - Electronics, 2024 - mdpi.com
This article explores the challenge of acoustic drone detection in real-world scenarios, with
an emphasis on the impact of distance, to see how sound propagation affects drone …

Erasing Radio Frequency Fingerprints via Active Adversarial Perturbation

Z Lu, W Xu, M Tu, X Xie, C Hua, N Cheng - arXiv preprint arXiv …, 2024 - arxiv.org
Radio Frequency (RF) fingerprinting is to identify a wireless device from its uniqueness of
the analog circuitry or hardware imperfections. However, unlike the MAC address which can …

[HTML][HTML] Review of RF-based drone classification: techniques, datasets, and challenges

SJ Boban, P Ivan, B Jovan, S Nenad - Vojnotehnički glasnik, 2024 - cyberleninka.ru
Introduction/purpose: This article analyzes the publicly available literature on drone
classification in the radio frequency domain, focusing on detection and identification. Drones …

[PDF][PDF] Unveiling the Power of EEG Signals: Parkinson's Disease Identification via Yet Another Mobile Network (YAMNet).

AA Aldujaili, M Rosa-Zurera, A Meri - ICPRAM, 2024 - scitepress.org
Parkinson's disease is a neurodegenerative disorder with a progressively debilitating impact
on patients' movement in terms of cognitive and motor aspects. Early detection is crucial for …

Multi-resolution convolutional neural network for specific emitter identification

T Cui, R Li, Z Li, L Shi, H Zhang - Proceedings of the 2024 6th …, 2024 - dl.acm.org
Specific Emitter Identification (SEI) distinguishes specific emitters among identical radar
types by inspecting hardware fingerprints. Nevertheless, deep learning-based SEI poses …

Comparing Signal Processing and Visual Classification Techniques to Identify RF Signals

C Muyot - 2024 - search.proquest.com
In the landscape of identifying Radio Frequency (RF) signals with machine learning, visual
classification is the most commonly used method. However with the swift advancement of …