Radio frequency fingerprint-based drone identification and classification using Mel spectrograms and pre-trained YAMNet neural
The convergence of drones with the Internet of Things (IoT) has paved the way for the
Internet of Drones (IoD), an interconnected network of drones, ground control systems, and …
Internet of Drones (IoD), an interconnected network of drones, ground control systems, and …
Audio–text retrieval based on contrastive learning and collaborative attention mechanism
T Hu, X Xiang, J Qin, Y Tan - Multimedia Systems, 2023 - Springer
Existing research on audio–text retrieval is limited by the size of the dataset and the structure
of the network, making it difficult to learn the ideal features of audio and text resulting in low …
of the network, making it difficult to learn the ideal features of audio and text resulting in low …
Using a machine learning model for malicious url type detection
SP Tung, KY Wong, I Kuzminykh, T Bakhshi… - … Conference on Next …, 2021 - Springer
The world wide web, beyond its benefits, has also become a major platform for online
criminal activities. Traditional protection methods against malicious URLs, such as …
criminal activities. Traditional protection methods against malicious URLs, such as …
Malicious URL Detection Using Machine Learning
In recent years cyberattacks have become destructive and targeted. With technological
advancements, diverse threats are launching in a sophisticated way that targets people to …
advancements, diverse threats are launching in a sophisticated way that targets people to …
A sound events detection and localization system based on YAMNet model and BLE beacons
CM Mesa-Cantillo, IG Alonso-González… - … on Wireless and …, 2023 - accedacris.ulpgc.es
Automatic recognition of sound events by computers is a requirement for several emerging
applications, such as surveillance, automatic listening, and noise source identification …
applications, such as surveillance, automatic listening, and noise source identification …
Downstream Task Performance of Pre-Trained Model For Outdoor Audio Event Classification
Our surroundings' auditory landscapes are a wealth of knowledge, providing insights into a
range of outdoor pursuits. The automatic classification of these actions using audio event …
range of outdoor pursuits. The automatic classification of these actions using audio event …
Enhanced Frequency Domain Analysis for Detecting Wild Elephants in Asia using Acoustics
U Ranasinghe, S Abeyrathne… - 2023 IEEE 17th …, 2023 - ieeexplore.ieee.org
Human-elephant conflict in Asia and Africa calls for an early warning system to reduce risks
and harm for both elephants and humans. Acoustic based warning systems offer a …
and harm for both elephants and humans. Acoustic based warning systems offer a …
On keystroke pattern variability in virtual desktop infrastructure
The paper investigates the impact of network traffic and network characteristics on the
effectiveness of keystroke dynamics for continuous and one-time authentication in the …
effectiveness of keystroke dynamics for continuous and one-time authentication in the …
First Aid and Emergency Assistance Robot for Individuals at Home using IoT and Deep Learning
M Dias, H Aloj, N Ninan, D Koshti… - 2023 7th International …, 2023 - ieeexplore.ieee.org
With urbanization and societal changes, there has been an increase in the number of
people living alone. This raises concern for elderly people as many mishaps or accidents …
people living alone. This raises concern for elderly people as many mishaps or accidents …
[PDF][PDF] Internet of Things
J MOHAMMED, EI Abd El-Latif, NE El-Sayad… - … Monitoring Using Web - researchgate.net
The convergence of drones with the Internet of Things (IoT) has paved the way for the
Internet of Drones (IoD), an interconnected network of drones, ground control systems, and …
Internet of Drones (IoD), an interconnected network of drones, ground control systems, and …