[HTML][HTML] Lightweight object detection in low light: pixel-wise depth refinement and TensorRT optimization

K Vinoth, P Sasikumar - Results in Engineering, 2024 - Elsevier
Images captured in low-light conditions present significant challenges for accurate object
detection due to factors such as high noise, poor illumination, and low contrast. In this study …

Dual-stage machine learning approach for advanced malicious node detection in WSNs

OA Khashan - Ad Hoc Networks, 2025 - Elsevier
Within wireless sensor networks (WSNs), a multitude of vulnerabilities can arise, particularly
those originating from malicious nodes (MNs), which lead to compromised data integrity …

[HTML][HTML] Design and implementation of smart home system based on IoT

Y Chen, H Zhang, S Zhong - Results in Engineering, 2024 - Elsevier
With the continuous development of Internet of Things technology and AI technology, a new
generation of smart home systems is being promoted. Traditional smart home devices are …

[HTML][HTML] AnomLite: Efficient Binary and Multiclass Video Anomaly Detection

AK Zvereva, M Kaprielova, A Grabovoy - Results in Engineering, 2025 - Elsevier
Anomaly detection in video surveillance is critical for ensuring public safety, as manual
monitoring of numerous video feeds is often challenging and prone to human error. Security …

A Study on Intrusion Detection Using Deep Learning-based Weight Measurement with Multimode Fiber Speckle Patterns

HJ Lee - Current Optics and Photonics, 2024 - opg.optica.org
This paper presents a deep learning-based weight sensor, using optical speckle patterns of
multimode fiber, designed for real-time intrusion detection. The weight sensor has been …