Machine learning inspired sound-based amateur drone detection for public safety applications
MZ Anwar, Z Kaleem… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In recent years, popularity of unmanned air vehicles enormously increased due to their
autonomous moving capability and applications in various domains. This also results in …
autonomous moving capability and applications in various domains. This also results in …
Malicious UAV detection using integrated audio and visual features for public safety applications
Unmanned aerial vehicles (UAVs) have become popular in surveillance, security, and
remote monitoring. However, they also pose serious security threats to public privacy. The …
remote monitoring. However, they also pose serious security threats to public privacy. The …
Amateur Drones Detection: A machine learning approach utilizing the acoustic signals in the presence of strong interference
Owing to small size, sensing capabilities and autonomous nature, the Unmanned Air
Vehicles (UAVs) have enormous applications in various areas eg, remote sensing …
Vehicles (UAVs) have enormous applications in various areas eg, remote sensing …
Performance analysis of speech command recognition using support vector machine classifiers
MV Subbarao, AK Padavala, KD Harika - Communication and Control for …, 2021 - Springer
Recently attention of researchers towards Automatic Speech Recognition (ASR) is
tremendously increased than ever because of its applications in security applications, home …
tremendously increased than ever because of its applications in security applications, home …
Independent vector analysis inspired amateur drone detection through acoustic signals
Detection of amateur drones (AmDrs) is mandatory requirement of various defence
organizations and is also required to protect human life. In literature, various researchers …
organizations and is also required to protect human life. In literature, various researchers …
Detection of Multiple Drones in a Time-Varying Scenario Using Acoustic Signals
Detection of unauthorized drones is mandatory for defense organizations and also for
human life protection. Currently, detection methods based on thermal, video, radio …
human life protection. Currently, detection methods based on thermal, video, radio …
Forecasting peak electric load: Robust support vector regression with smooth nonconvex ϵ‐insensitive loss
R Nie, J Che, F Yuan, W Zhao - Journal of Forecasting, 2024 - Wiley Online Library
Peak power load forecasting is a key part of the commercial operation of the energy industry.
Although various load forecasting methods and technologies have been put forward and …
Although various load forecasting methods and technologies have been put forward and …
Automatic speech patterns recognition of commands using SVM and PSO
GC Batista, WLS Silva, DL de Oliveira… - Multimedia Tools and …, 2019 - Springer
This paper proposes the implementation of an Automatic Speech Recognition (ASR)
process through extraction of Mel-Frequency Cepstral Coefficients (MFCCs) from voice …
process through extraction of Mel-Frequency Cepstral Coefficients (MFCCs) from voice …
[PDF][PDF] Detection of Multiple Drones in a Time-Varying Scenario Using Acoustic Signals. Sustainability 2022, 14, 4041
Detection of unauthorized drones is mandatory for defense organizations and also for
human life protection. Currently, detection methods based on thermal, video, radio …
human life protection. Currently, detection methods based on thermal, video, radio …
Speech Recognition Method for Home Service Robots Based on CLSTM-HMM Hybrid Acoustic Model
C Zhao, X Wang, L Zhang - … , ICIC 2021, Shenzhen, China, August 12–15 …, 2021 - Springer
In this paper, we propose a speech recognition method based on CLSTM-HMM hybrid
acoustic model for home service robots that cannot recognize speech commands effectively …
acoustic model for home service robots that cannot recognize speech commands effectively …