paper 5 - Technology bibliographies - in Harvard style

In-text: (AKAN, AĞAÇ and DURMAZ İNCEL, 2021)

Your Bibliography: AKAN, Y., AĞAÇ, S. and DURMAZ İNCEL, Ö., 2021. Evaluation of Deep Learning Models for Smoking Recognition with Smartwatch and Smartphone Sensors. Balkan Journal of Electrical and Computer Engineering,.

In-text: (Ali et al., 2012)

Your Bibliography: Ali, A., Hossain, S., Hovsepian, Md, K., Rahman, M., Plarre, K. and Kumar, S., 2012. [online] Cs.memphis.edu. Available at: <https://www.cs.memphis.edu/~santosh/Papers/mPuff-IPSN-2012.pdf> [Accessed 16 January 2022].

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

Your Bibliography: Chen, R., Zeng, G., Wang, K., Luo, L. and Cai, Z., 2020. A Real Time Vision-Based Smoking Detection Framework on Edge. Journal on Internet of Things, 2(2), pp.55-64.

In-text: (Chen et al., 2018)

Your Bibliography: Chen, T., Zhang, X., Jiang, H., Asaeikheybari, G., Goel, N., Hooper, M. and Huang, M., 2018. Are you smoking? Automatic alert system helping people keep away from cigarettes. Smart Health, 9-10, pp.158-169.

In-text: (Engelhard et al., 2019)

Your Bibliography: Engelhard, M., Oliver, J., Henao, R., Hallyburton, M., Carin, L., Conklin, C. and McClernon, F., 2019. Identifying Smoking Environments From Images of Daily Life With Deep Learning. JAMA Network Open, 2(8), p.e197939.

In-text: (Fan and Gao, 2020)

Your Bibliography: Fan, C. and Gao, F., 2020. A New Approach for Smoking Event Detection Using a Variational Autoencoder and Neural Decision Forest. IEEE Access, 8, pp.120835-120849.

In-text: (Ghuli, N and Rao, 2022)

Your Bibliography: Ghuli, P., N, S. and Rao, A., 2022. Development of framework for detecting smoking scene in video clips.

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

Your Bibliography: Macalisang, J., Merencilla, N., Ligayo, M., Melegrito, M. and Tejada, R., 2020. Eye-Smoker: A Machine Vision-Based Nose Inference System of Cigarette Smoking Detection using Convolutional Neural Network. 2020 IEEE 7th International Conference on Engineering Technologies and Applied Sciences (ICETAS),.

In-text: (Zhang, Jiao and Wang, 2018)

Your Bibliography: Zhang, D., Jiao, C. and Wang, S., 2018. Smoking Image Detection Based on Convolutional Neural Networks. 2018 IEEE 4th International Conference on Computer and Communications (ICCC),.

In-text: (Zhang, Chen, Xiao and Li, 2021)

Your Bibliography: Zhang, Z., Chen, H., Xiao, R. and Li, Q., 2021. Research on Smoking Detection Based on Deep Learning. Journal of Physics: Conference Series, 2024(1), p.012042.