paper 6 - Computer Science bibliographies - in Harvard style

In-text: (Balakreshnan et al., 2020)

Your Bibliography: Balakreshnan, B., Richards, G., Nanda, G., Mao, H., Athinarayanan, R. and Zaccaria, J., 2020. PPE Compliance Detection using Artificial Intelligence in Learning Factories. Procedia Manufacturing, 45, pp.277-282.

In-text: (Bhing and Sebastian, 2021)

Your Bibliography: Bhing, N. and Sebastian, P., 2021. Personal Protective Equipment Detection with Live Camera. 2021 IEEE International Conference on Signal and Image Processing Applications (ICSIPA),.

In-text: (Chen and Demachi, 2021)

Your Bibliography: Chen, S. and Demachi, K., 2021. Towards on-site hazards identification of improper use of personal protective equipment using deep learning-based geometric relationships and hierarchical scene graph. Automation in Construction, 125, p.103619.

In-text: (Delhi, Sankarlal and Thomas, 2020)

Your Bibliography: Delhi, V., Sankarlal, R. and Thomas, A., 2020. Detection of Personal Protective Equipment (PPE) Compliance on Construction Site Using Computer Vision Based Deep Learning Techniques. Frontiers in Built Environment, 6.

In-text: (Gonzalez Dondo, Redolfi, Araguas and Garcia, 2021)

Your Bibliography: Gonzalez Dondo, D., Redolfi, J., Araguas, R. and Garcia, D., 2021. Application of Deep-Learning Methods to Real Time Face Mask Detection. IEEE Latin America Transactions, 19(6), pp.994-1001.

In-text: (Khosravipour, Taghvaei and Moghadam Charkari, 2022)

Your Bibliography: Khosravipour, S., Taghvaei, E. and Moghadam Charkari, N., 2022. COVID-19 personal protective equipment detection using real-time deep learning methods. [online] Arxiv.org. Available at: <https://arxiv.org/pdf/2103.14878v1.pdf> [Accessed 17 January 2022].

In-text: (Loey, Manogaran, Taha and Khalifa, 2021)

Your Bibliography: Loey, M., Manogaran, G., Taha, M. and Khalifa, N., 2021. Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection. Sustainable Cities and Society, 65, p.102600.

In-text: (Nath, Behzadan and Paal, 2020)

Your Bibliography: Nath, N., Behzadan, A. and Paal, S., 2020. Deep learning for site safety: Real-time detection of personal protective equipment. Automation in Construction, 112, p.103085.

In-text: (Sandru, Duta, Georgescu and Ionescu, 2021)

Your Bibliography: Sandru, A., Duta, G., Georgescu, M. and Ionescu, R., 2021. SuPEr - SAM: Using the Supervision Signal from a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition. 2021 IEEE Winter Conference on Applications of Computer Vision (WACV),.

In-text: (Udatewar et al., 2021)

Your Bibliography: Udatewar, P., Desai, A., Godghase, G., Nair, A. and Kosamkar, P., 2021. Personal Protective Equipment Kit Detection using Yolo v5 and TensorFlow. 2021 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON),.

In-text: (Xiong and Tang, 2021)

Your Bibliography: Xiong, R. and Tang, P., 2021. Pose guided anchoring for detecting proper use of personal protective equipment. Automation in Construction, 130, p.103828.