References
- Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660. https://doi.org/10.1016/j.future.2013.01.010
- Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58(4), 431–440. https://doi.org/10.1016/j.bushor.2015.03.008
- Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787–2805. https://doi.org/10.1016/j.comnet.2010.05.010
- Mineraud, J., Mazhelis, O., Su, X., & Tarkoma, S. (2016). A gap analysis of Internet-of-Things platforms. Computer Communications, 89, 5–16. https://doi.org/10.1016/j.comcom.2016.03.015
- Yassein, M. B., Mardini, W., & Khalil, A. (2016). Internet of Things architectures for small and medium enterprises. In 2016 International Conference on Engineering & MIS (ICEMIS) (pp. 1–6). IEEE. https://doi.org/10.1145/3234698.3234730
- McKinney, W. (2010). Data structures for statistical computing in Python. In Proceedings of the Python in Science Conference (SciPy) (pp. 51–56). Austin, TX: SciPy.
- Hunter, J. D. (2007). Matplotlib: A 2D graphics environment. Computing in Science & Engineering, 9(3), 90–95. https://doi.org/10.1109/MCSE.2007.55
- Bröring, A., Seeger, J., Papoutsakis, M., Fysarakis, K., & Caracalli, A. (2020). Networking-Aware IoT Application Development. Sensors, 20(3), 897. https://doi.org/10.3390/s20030897
- Takanashi, K., Udagawa, K., Seki, M., Okada, T., & Tanaka, H. (1975). Nonlinear Earthquake Response Analysis of Structures by a Computer-Actuator Online System. Bulletin of the Earthquake Resistant Structure Research Center, 8, 1–10.
- Chen, C., Ricles, J. M., Marullo, T. M., & Mercan, O. (2009). Real-time hybrid testing using the unconditionally stable explicit CR integration algorithm. Earthquake Engineering & Structural Dynamics, 38(1), 23–47. https://doi.org/10.1002/eqe.838
- Kolay, C., Ricles, J. M., Marullo, T. M., Mahvashmohammadi, A., & Sause, R. (2015). Implementation and application of the unconditionally stable explicit parametrically dissipative KR-α method for real-time hybrid simulation. Earthquake Engineering & Structural Dynamics, 44(5), 735–755. https://doi.org/10.1002/eqe.2484
- Chae, Y., Kazemibidokhti, K., & Ricles, J. M. (2013). Adaptive time series compensator for delay compensation of servo-hydraulic actuator systems for real-time hybrid simulation. Earthquake Engineering & Structural Dynamics, 42(11), 1697–1717. https://doi.org/10.1002/eqe.2294
- Bas, E. E., & Moustafa, M. A. (2020). Real-time hybrid simulation with deep learning computational substructures: System validation using linear specimens. Machine Learning and Knowledge Extraction, 2(4), 469-489. https://doi.org/10.3390/make2040026
- Zhang, X., Xie, X., Tang, S., Zhao, H., Shi, X., Wang, L., … & Xiang, P. (2024). High-speed railway seismic response prediction using CNN-LSTM hybrid neural network. Journal of Civil Structural Health Monitoring, 14(5), 1125–1148. https://doi.org/10.1007/s13349-023-00758-6
- Alam, T. (2021). Cloud-based IoT applications and their roles in smart cities. Smart Cities, 4(3), 1196–1212. https://doi.org/10.3390/smartcities4030064
- Chernyshev, M., Baig, Z., Bello, O., & Zeadally, S. (2017). Internet of Things (IoT): Research, simulators, and testbeds. IEEE Internet of Things Journal, 5(3), 1637–1647. https://doi.org/10.1109/JIOT.2017.2786639
- Li, S., Tryfonas, T., & Li, H. (2016). The Internet of Things: A security point of view. Internet Research, 26(2), 337–359. https://doi.org/10.1108/IntR-07-2014-0173
- Sun, Q., Berkelbach, T. C., Blunt, N. S., Booth, G. H., Guo, S., Li, Z., … & Wouters, S. (2018). PySCF: The Python-based simulations of chemistry framework. WIREs Computational Molecular Science, 8(1), e1340. https://doi.org/10.1002/wcms.1340
- Krishnamurthy, J., & Maheswaran, M. (2016). Programming frameworks for Internet of Things. Internet of Things, 79–98. https://doi.org/10.1016/B978-0-12-805395-9.00005-8
- Li, S., Xu, L. D., & Zhao, S. (2015). The Internet of Things: A survey. Information Systems Frontiers, 17, 243–259. DOI:10.1007/s10796-014-9492-7
- Kazanskiy, N. L., Khonina, S. N., & Butt, M. A. (2024). A review on flexible wearables– Recent developments in non-invasive continuous health monitoring. Sensors and Actuators A: Physical, 366, 114993. https://doi.org/10.1016/j.sna.2023.114993
- Garg, A. (2024). Analysis and Mitigation of Single Event Transients (SET) effect on RISC-V based FPGA (Master’s Thesis). Politecnico di Torino.
- Coito, T., Martins, M. S., Firme, B., Figueiredo, J., Vieira, S. M., & Sousa, J. M. (2022). Assessing the impact of automation in pharmaceutical quality control labs using a digital twin. Journal of Manufacturing Systems, 62, 270-285. https://doi.org/10.1016/j.jmsy.2021.11.014
- Chen, D., Shi, X., Zhang, H., Song, X., Zhang, D., Chen, Y., & Yan, J. (2024). A phone-based distributed ambient temperature measurement system with an efficient label-free automated training strategy. IEEE Transactions on Mobile Computing, 23(12), 11781–11796. https://doi.org/10.1109/TMC.2024.3399843
- Hamzaoui, I., Duthil, B., Courboulay, V., & Medromi, H. (2024). A topical review on container-based cloud revolution: Multi-directional challenges, and future trends. SN Computer Science, 5(4), 416. https://doi.org/10.1007/s42979-024-02763-y
- Morcillo-Jimenez, R., Rivas, J. M., Ruiz, M. D., Martin-Bautista, M. J., & Fernandez-Basso, C. (2025). Privacy-preserving energy analytics in smart offices via container-based Federated Learning. Internet of Things, 34, 101782. https://doi.org/10.1016/j.iot.2025.101782
- Fokina, E. A., Trofimov, A. A., Ponomarev, V. N., & Zdobnov, S. A. (2024). Design of a Simulation Model of a Temperature Sensor under Critical Temperature and Sinusoidal Vibrations. Technical Physics, 69(11), 2620–2630. https://doi.org/10.1134/S1063784224701093
- Rut’kov, E. V., Beliaeva, O. A., & Gall, N. R. (2023). Physical Processes in the Pirani Type Low Vacuum Sensor. Technical Physics, 68(12), 766–773. https://doi.org/10.1134/S1063784223080327
- Ju, L., Jiang, P., Ren, Y., Liu, R., Kong, Y., Yun, S., Ye, Y., Jiao, B., Hao, Q., & Sun, H. (2025). Overview of research progress and application prospects of thermal test chips. Micromachines, 16(6), 669. https://doi.org/10.3390/mi16060669
- Geitner, M., Sandoval, F. A. S., Bertin, E., & Bellon, L. (2017). Low thermal fluctuations in a system heated out of equilibrium. Physical Review E, 95, 032138. https://doi.org/10.1103/PhysRevE.95.032138
- Michaud‐Belleau, V., Fokoua, E. R. N., Horak, P., Wheeler, N. V., Rikimi, S., Bradley, T. D., … & Genest, J. (2022). Fundamental thermal noise in antiresonant hollow-core fibers. Physical Review A, 106, 023501. https://doi.org/10.1103/PhysRevA.106.023501
- Varley, J. B., Lordi, V., He, X., & Rockett, A. (2016). First principles calculations of point defect diffusion in CdS buffer layers: Implications for Cu(In,Ga) (Se,S)2 and Cu2ZnSn(Se,S)4-based thin- film photovoltaics. Journal of Applied Physics, 119(2), 025703. https://doi.org/10.1063/1.4939656
- Saggin, B., Tarabini, M., & Scaccabarozzi, D. (2010). Infrared optical element mounting techniques for wide temperature ranges. Applied Optics, 49(3), 542–550. https://doi.org/10.1364/AO.49.000542
- Zhu, X., Wang, J., Gao, X., Fan, J., & Hu, M. (2025). Stable cascaded femtosecond optical parametric amplifiers in the NIR-I region at 50 MHz. Chinese Optics Letters, 23(1), 011902. https://doi.org/10.1364/COL.23.011902
- Zhang, M., Xie, Y., Zhang, J., Wang, W., Wu, C., Chen, T., … & Chen, P. (2021). Estimation of the laser frequency noise spectrum by continuous dynamical decoupling. Physical Review Applied, 15(1), 014033. https://doi.org/10.1103/PhysRevApplied.15.014033
- Jiang, X., Scott, J., Friesen, M., & Saffman, M. (2023). Sensitivity of quantum gate fidelity to laser phase and intensity noise. Physical Review A, 107(4), 042611. https://doi.org/10.1103/PhysRevA.107.042611
- Burns, I. S., Hult, J., Hartung, G., & Kaminski, C. F. (2007). A thermometry technique based on atomic lineshapes using diode laser LIF in flames. Proceedings of the Combustion Institute, 31(1), 775–783. https://doi.org/10.1016/j.proci.2006.07.243
- Tartakovsky, D. M., & Dentz, M. (2019). Diffusion in porous media: Phenomena and mechanisms. Transport in Porous Media, 130(1), 105–127. https://doi.org/10.1007/s11242-019-01262-6
- Cartailler, V. (2021). Study of temperature and moisture impact on water diffusion in materials and on electronic circuits failure mechanisms (Doctoral dissertation). Université de Bordeaux.
- Jeromenok, J., & Weber, J. (2013). Restricted access: On the nature of adsorption/desorption hysteresis in amorphous, microporous polymeric materials. Langmuir, 29(42), 12982–12992. https://doi.org/10.1021/la402630s