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A Scalable Room Occupancy Prediction with Transferable Time Series Decomposition of CO 2 Sensor Data

Human occupancy counting is crucial for both space utilisation and building energy optimisation. In the current article, we present a semi-supervised domain adaptation method for carbon dioxide - H

Scalable Room Occupancy Prediction Occupancy Prediction Transferable Time Series Decomposition Sensor Data time series

DA-HOC: semi-supervised domain adaptation for room occupancy predictionusing CO\(_\mbox2\) sensor data

Human occupancy counting is crucial for both space utilisation and building energy optimisation. In the current article, we present a semi-supervised domain adaptation method for carbon dioxide -

semi-supervised Sensor Data Occupancy Prediction Adaptation sensor

CD-HOC: Indoor Human Occupancy Counting using Carbon Dioxide SensorData

Human occupancy information is crucial for any modern Building Management System (BMS). Implement- ing pervasive sensing and leveraging Carbon Dioxide data from BMS sensor, we present Carbon Dioxide

Human Occupancy Counting Carbon Dioxide Sensor Data sensor Human Occupancy Prediction

Traveling officer problem: Managing car parking violations efficiently using sensor data

The on-street parking system is an indispensable part of civil projects, which provides travellers and shoppers with parking spaces. With the recent in-ground sensors deployed throughout the city

Traveling Officer Problem Managing car parking violations efficiently Sensor Data car parking violations sensor

Genetic Programming for Channel Selection from Multi-stream SensorData with Application on Learning Risky Driving Behaviours

Unsafe driving behaviours can put the driver himself and other people participating in the trac at risk. Smart-phones with builtin inertial sensors oer a convenient way to passively monitor the

Genetic Programming Channel Selection Multi-stream Sensor Data Learning Risky Driving Behaviours behaviour Sensor Data sensor

Predicting the city foot traffic with pedestrian sensor data

In this paper,we focus on developing a model and system for predicting the city foot traffic. We utilise historical records of pedestrian counts captured with thermal and laser-based sensors insta

pedestrian sensor data Predicting the city foot traffic sensor Sensor Data city Traffic

An Energy-Efficient Inter-organizational Wireless Sensor Data Collection Framework

Internet of Things (IoT) represents a cyberphysical world where physical things are interconnected on the Web. This paper presents an architecture designed for Energy-efficient Inter-organization

Wireless Sensor Data Collection Energy-Efficient Sensor Data sensor

A scalable room occupancy prediction with transferable time series decomposition of CO2 sensor data