Automated acoustic event‐based monitoring of prestressing tendons breakage in concrete bridges

S Farhadi, M Corrado, G Ventura - Computer‐Aided Civil and …, 2024 - Wiley Online Library
Prestressing wire breakage induced by corrosion is hazardous, especially for concrete
structures subjected to severe aging factors, such as bridges. Developing an automated …

An automated accurate sound-based amateur drone detection method based on skinny pattern

E Akbal, A Akbal, S Dogan, T Tuncer - Digital Signal Processing, 2023 - Elsevier
Nowadays, the popularity of amateur drones (ADr) has increased marginally, and many
research areas, such as machine learning, security systems, and the military industry, have …

Deep Learning-based drone acoustic event detection system for microphone arrays

Y Sun, J Li, L Wang, J Xv, Y Liu - Multimedia Tools and Applications, 2024 - Springer
In recent years, drones have brought about numerous conveniences in our work and daily
lives due to their advantages of low cost and ease of use. However, they have also …

DResInceptionNasNet method for offline grounding detection of distribution networks

L Yin, J Huang - Applied Soft Computing, 2023 - Elsevier
Almost all existing distribution network grounding tests are online. The existing offline
distribution network grounding detection methods are all manual handling methods, which …

Deep-learning based fusion of spatial relationship classification between mandibular third molar and inferior alveolar nerve using panoramic radiograph images

N Kumbasar, MT Güller, Ö Miloğlu, EA Oral… - … Signal Processing and …, 2025 - Elsevier
It is crucial for clinicians to have a prior knowledge of spatial relationship between impacted
mandibular third molar tooth (MM3) and inferior alveolar nerve (IAN) before an extraction …

Improved method for drone sound event detection system aiming at the impact of background noise and angle deviation

Y Sun, Y Liu, L Wang, J Li, J Wang, A Zhang… - Sensors and Actuators A …, 2024 - Elsevier
Drones pose a hidden threat to public safety, and effective and accurate detection
technology for the drone that exist in the environment is imminent, in which how to weaken …

Optimizing RF-Sensing for Drone Detection: The Synergy of Ensemble Learning and Sensor Fusion

L Tanveer, MZ Alam, M Misbah… - … Computing in Smart …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) find extensive applications across various industries,
surveillance, and communication services. However, concerns regarding their potential …

Radio Frequency Signal-Based Drone Classification with Frequency Domain Gramian Angular Field and Convolutional Neural Network.

Y Fu, Z He - Drones (2504-446X), 2024 - search.ebscohost.com
Over the past few years, drones have been utilized in a wide range of applications.
However, the illegal operation of drones may pose a series of security risks to sensitive …

UAVs Detection and Recognition based on RF Signals Amplitude Distribution Characteristics

S Chen, Z Liu, Y Fu, X Tang, W Yang - Proceedings of the 2024 12th …, 2024 - dl.acm.org
UAV detection based on radio frequency (RF) signal is an effective means to achieve UAV
supervision. In order to solve the problem that the detection and recognition probability of …