[HTML][HTML] A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment
The occupants' presence, activities, and behaviour can significantly impact the building's
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …
[HTML][HTML] Deep and transfer learning for building occupancy detection: A review and comparative analysis
The building internet of things (BIoT) is quite a promising concept for curtailing energy
consumption, reducing costs, and promoting building transformation. Besides, integrating …
consumption, reducing costs, and promoting building transformation. Besides, integrating …
Federated learning in robotic and autonomous systems
Autonomous systems are becoming inherently ubiquitous with the advancements of
computing and communication solutions enabling low-latency offloading and real-time …
computing and communication solutions enabling low-latency offloading and real-time …
Non-invasive infrared thermography technology for thermal comfort: A review
P Zheng, Y Liu, H Wu, H Wang - Building and Environment, 2023 - Elsevier
Non-invasive infrared thermography (IRT) technology has emerged as a promising tool for
real-time prediction of thermal comfort and offers a novel approach for controlling heating …
real-time prediction of thermal comfort and offers a novel approach for controlling heating …
Review of vision-based occupant information sensing systems for occupant-centric control
Abstract Vision-based (camera-based) systems, which can effectively sense occupant
information, have garnered attention as a core technology in the Fourth Industrial …
information, have garnered attention as a core technology in the Fourth Industrial …
Edge-based real-time occupancy detection system through a non-intrusive sensing system
Building automation and the advancement of sustainability and safety in internal spaces
benefit significantly from occupancy sensing. While particular traditional Machine Learning …
benefit significantly from occupancy sensing. While particular traditional Machine Learning …
A comprehensive analysis for crowd counting methodologies and algorithms in Internet of Things
Abstract The Internet of Things (IoT) provides a collaborative infrastructure to communicate
smart devices with cloud-edge healthcare applications, medical devices, wearable …
smart devices with cloud-edge healthcare applications, medical devices, wearable …
Adaptive thermal sensor array placement for human segmentation and occupancy estimation
Thermal sensor array (TSA) offers privacy-preserving, low-cost, and non-invasive features,
which makes it suitable for various indoor applications such as anomaly detection, health …
which makes it suitable for various indoor applications such as anomaly detection, health …
Autosos: Towards multi-uav systems supporting maritime search and rescue with lightweight ai and edge computing
Rescue vessels are the main actors in maritime safety and rescue operations. At the same
time, aerial drones bring a significant advantage into this scenario. This paper presents the …
time, aerial drones bring a significant advantage into this scenario. This paper presents the …
Low-cost thermal camera-based counting occupancy meter facilitating energy saving in smart buildings
Using passive infrared sensors is a well-established technique of presence monitoring.
While it can significantly reduce energy consumption, more savings can be made when …
While it can significantly reduce energy consumption, more savings can be made when …