Real-Time Object Detection from UAV Inspection Videos by Combining YOLOv5s and DeepStream

S Xie, G Deng, B Lin, W Jing, Y Li, X Zhao - Sensors, 2024 - mdpi.com
The high-altitude real-time inspection of unmanned aerial vehicles (UAVs) has always been
a very challenging task. Because high-altitude inspections are susceptible to interference …

Optimizing Cell Association and Stability in Integrated Aerial-to-Ground Next-Generation Consumer Wireless Networks

I Ahmad, R Narmeen, UA Mughal… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) offer advantages in serving as aerial small cells (ASCs) to
support public safety terrestrial cells (PSTCs) while providing pervasive coverage during …

[PDF][PDF] Integrating Long Short-Term Memory and Multilayer Perception for an intelligent public affairs distribution model

H Fang, MJ Peng, XT Du, BS Lin… - Acadlore Trans. Mach …, 2024 - library.acadlore.com
In the realm of urban public affairs management, the necessity for accurate and intelligent
distribution of resources has become increasingly imperative for effective social governance …

Efficient Violence Recognition in Video Streams using ResDLCNN-GRU Attention Network

A Dey, S Biswas, L Abualigah - ECTI Transactions on Computer …, 2024 - ph01.tci-thaijo.org
Detecting Violence in video streams is essential for public safety and security due to the
rising frequency of violent incidents. Despite the extensive deployment of CCTV for …

[PDF][PDF] A Dynamic Blurring Approach with EfficientNet and LSTM to Enhance Privacy in Video-Based Elderly Fall Detection

I Ursul, JH Muzamal - 2024 - ceur-ws.org
This research paper introduces a novel approach to address privacy concerns in video-
based elderly fall detection systems without compromising such technologies' efficacy and …

[PDF][PDF] Review of Violence and NonViolence Using Deep Learning Techniques

N Sharma, K Ahuja, C Sikarwar - 2024 - ijsret.com
The rapid proliferation of online video content necessitates robust automated screening
technologies to mitigate exposure to violent and harmful material. This review examines the …

DCNNs Detecting Facial Emotion Expression to Mentor and Manage Crowds Using a Deep Convolutional Neural Network

W Bajnaid, R Bandaru - International Journal of Data Science and …, 2024 - ijdsaa.com
Human interactions are heavily reliant on facial expressions. An individual's emotional state
can affect their safety and security in crowd places. Thus, monitoring and detecting emotions …

Crowd Dynamics Analysis: GAN-Powered Insights for Enhanced Public Safety

H Chourasia, N Tiwari, S Raut… - Enhancing Security in …, 2024 - igi-global.com
Understanding crowd dynamics in densely populated public spaces, such as city centers,
stadiums, and transit hubs, is vital for ensuring public safety and efficient management. The …