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Adeyeye, K (2024) From product to service – strategies for upscaling smart home performance monitoring. Building Research & Information, 52(01–02), 107–28.

Al-Aomar, R, AlTal, M and Abel, J (2024) A data-driven predictive maintenance model for hospital HVAC system with machine learning. Building Research & Information, 52(01–02), 207–24.

Božiček, D, Almezeraani, Y and Košir, M (2024) Making sense of LCA results when evaluating multiple building designs – comparison of interpretation concepts. Building Research & Information, 52(01–02), 129–47.

Calcerano, F, Thravalou, S, Martinelli, L, Alexandrou, K, Artopoulos, G and Gigliarelli, E (2024) Energy and environmental improvement of built heritage: HBIM simulation-based approach applied to nine Mediterranean case-studies. Building Research & Information, 52(01–02), 225–47.

Ghansah, F A, Owusu-Manu, D, Edwards, D J, Thwala, W D, Yamoah Agyemang, D and Ababio, B K (2024) A framework for smart building technologies implementation in the Ghanaian construction industry: a PLS-SEM approach. Building Research & Information, 52(01–02), 148–63.

Kalla, M, Kalaycioglu, O, Hecht, R, Schneider, S and Schmidt, C (2024) Station biophilia – assessing the perception of greenery on railway platforms using a digital twin. Building Research & Information, 52(01–02), 164–80.

Kumari, P, Reddy, S R N and Yadav, R (2024) Indoor occupancy detection and counting system based on boosting algorithm using different sensor data. Building Research & Information, 52(01–02), 87–106.

  • Type: Journal Article
  • Keywords: Occupancy detection and count estimation; IoT; sensor fusion; Gradient Boosting; PSO;
  • ISBN/ISSN: 0961-3218
  • URL: https://doi.org/10.1080/09613218.2023.2206090
  • Abstract:
    This research examined how to estimate a room's occupancy utilizing datasets using data collected from various sensors with boosting methods. Different sensors were used to extract features that indicate the occupancy level and the relative changes (PIR motion detectors, CO2 sensors, plug loads, lighting loads, electricity use and Wi-Fi access points). The proposed two-layer method increases the reliability and accuracy of occupancy detection. Five machine learning models were trained and tested using data on occupancy (Logistic Regression, Multi-Layer Perceptron Classifier, Support Vector Machine, Light Gradient Boosting Machine and Gradient Boosting). Accuracy, Precision, F1-score, Recall and ROC were the performance parameters used. Thus, using the Python tool, the proposed optimized model gives better detection and estimated accuracy of occupancy in the indoor environment. As a result, data fusion in conjunction with the Light GBM algorithm's gradient boosting-based categorical features and PSO optimization techniques may be used to predict occupancy data with high accuracy and F1-score (both 99%).

Lai, H and Chiang, W (2024) Generative design of terraced concert hall – a case study of Taipei music and library centre. Building Research & Information, 52(01–02), 49–67.

Liang, H, Weng, Y, Tang, S W Y and Yeoh, J K W (2024) Automated filtering of façade defect images using a similarity method for enhanced inspection documentation. Building Research & Information, 52(01–02), 194–206.

Prieto, A J, Torres-González, M and Carpio, M (2024) Virtual web-based instruments in the evaluation of functional degradation of heritage timber buildings. Building Research & Information, 52(01–02), 181–93.

Saeidlou, S and Ghadiminia, N (2024) A construction cost estimation framework using DNN and validation unit. Building Research & Information, 52(01–02), 38–48.

Yıldız, B, Çağdaş, G and Zincir, I (2024) Architectural space classification considering topological and 3D visual spatial relations using machine learning techniques. Building Research & Information, 52(01–02), 68–86.

Yang, X, Zhong, H, Wang, Z, Du, P, Zhou, K, Zhou, H, Lai, X, Lau, Y L, Song, Y and Tang, L (2024) BEKG: A built environment knowledge graph. Building Research & Information, 52(01–02), 19–37.

Zhou, S ( (2024) Platforming for industrialized building: a comparative case study of digitally-enabled product platforms. Building Research & Information, 52(01–02), 4–18.