Model compression methods for YOLOv5: A review

M Jani, J Fayyad, Y Al-Younes, H Najjaran - arXiv preprint arXiv …, 2023 - arxiv.org
Over the past few years, extensive research has been devoted to enhancing YOLO object
detectors. Since its introduction, eight major versions of YOLO have been introduced with …

LP-OPTIMA: A Framework for Prescriptive Maintenance and Optimization of IoT Resources for Low-Power Embedded Systems

A Papaioannou, A Dimara, CS Kouzinopoulos… - Sensors, 2024 - mdpi.com
Low-power embedded systems have been widely used in a variety of applications, allowing
devices to efficiently collect and exchange data while minimizing energy consumption …

A Citizen Science Tool Based on an Energy Autonomous Embedded System with Environmental Sensors and Hyperspectral Imaging

CS Kouzinopoulos, EM Pechlivani… - Journal of Low Power …, 2024 - mdpi.com
Citizen science reinforces the development of emergent tools for the surveillance,
monitoring, and early detection of biological invasions, enhancing biosecurity resilience …

Real-time fire detection algorithm on low-power endpoint device

R Peng, C Cui, Y Wu - Journal of Real-Time Image Processing, 2025 - Springer
Timely detection of fires can significantly reduce the damage caused by them. Most
contemporary fire detection algorithms are designed for high-performance computing …

Attendance Tracking System using Many Battery-free Photovoltaic Bluetooth Beacon Badges

C Wu, L Che, S Jin, C Tian, G Wang, S Liu… - Proceedings of the 12th …, 2024 - dl.acm.org
The concept of ambient IoT was introduced by 3GPP to describe low-cost, self-powered, or
battery-free sensor nodes, which may reach up to 10 trillion units in the future. By replacing …

IoT and ML-Driven Smart Fire Alarm and Crowd Tracking

G Patil, B Kadam, V Gujalwar, V Patil… - … Conference on Advances …, 2024 - Springer
In response to the escalating global fire incidents, particularly in densely populated areas,
this research pioneers a vision-based fire detection system to overcome the limitations of …

An Embedded System for the Predictive Maintenance of Aerobic Digesters with Liquid Outputs

S Eleftheriadis, G Margaritis… - … on Modern Circuits …, 2024 - ieeexplore.ieee.org
This paper introduces a novel embedded edge computing system for the Internet of Things,
specifically designed for predictive maintenance of grinding motors in Aerobic Digesters with …

and Crowd Tracking

G Patil, B Kadam, V Gujalwar, V Patil… - Advances in Information … - books.google.com
In response to the escalating global fire incidents, particularly in densely populated areas,
this research pioneers a vision-based fire detection system to overcome the limitations of …