Research on personalized recommendation algorithm for micromechanical sensors based on cloud model

[1] Narasimhappa, M., Mahindrakar, A. D., Guizilini, V. C., et al. (2019). MEMS-Based IMU Drift Minimization: Sage Husa Adaptive Robust Kalman Filtering. IEEE Sensors Journal, 20(1), 250-260. Search in Google Scholar

[2] Wang, Y., Cao, R., Li, C., et al. (2020). Concepts, Roadmaps and Challenges of Ovenized MEMS Gyroscopes: A Review. IEEE Sensors Journal, 21(1), 92-119. Search in Google Scholar

[3] Haque,, F., Dehghanian V., Fapojuwo, A. O., et al. (2018). A Sensor Fusion-Based Framework for Floor Localization. IEEE Sensors Journal, 19(2), 623-631. Search in Google Scholar

[4] San, X., Zhao, G., et al. (2017). Assembly of 3D flower-like NiO hierarchical architectures by 2D nanosheets: synthesis and their sensing properties to formaldehyde. RSC ADV, 7(6), 3540-3549. Search in Google Scholar

[5] Glushkov, E., Navikas, V., & Radenovic, A. (2019). Fluorescent nanodiamonds as versatile intracellular temperature sensors. CHIMIA International Journal for Chemistry, 73(1), 73-77. Search in Google Scholar

[6] Genni, Testa, Gianluca, et al. (2015). Micro flow cytometer with self-aligned 3D hydrodynamic focusing. Biomedical optics express, 6(1), 54-62. Search in Google Scholar

[7] Weipan, Peng, Qian, et al. (2019). An innovative “unlocked mechanism” by a double key avenue for onepot detection of microRNA-21 and microRNA-141. Theranostics, 9(1), 279. Search in Google Scholar

[8] Yanmei, Chen, Xuefang, et al. (2018). The synthesis, crystal, hydrogen sulfide detection and cell assement of novel chemsensors based on coumarin derivatives. Scientific reports, 8(1), 1-9. Search in Google Scholar

[9] Liu, Z., Tam, H. Y., Center, P., et al. (2019). Industrial and medical applications of fiber Bragg gratings. Chinese Optics Letters, 7(1), 403-425. Search in Google Scholar

[10] Christoph, Hoog, Antink, et al. (2015). Beat-to-beat heart rate estimation fusing multimodal video and sensor data. Biomedical Optics Express. Search in Google Scholar

[11] Ilan, Halachmi, Marcella, et al. (2018). Smart Animal Agriculture: Application of Real-Time Sensors to Improve Animal Well-Being and Production. Annual Review of Animal Biosciences (New in 2013). Search in Google Scholar

[12] Li, K., Gong, Z., Neurobiology, D. O., et al. (2017). Feeling Hot and Cold:Thermal Sensation in Drosophila. Neuroscience Bulletin, 33(3), 317-322. Search in Google Scholar

[13] Liu, J., Cao, X., National Key Laboratory of Medical Immunology & Institute of Immunology, et al. (2016). Advances in innate immune signaling:new activators and regulators. National Science Review, 3(2), 160-162. Search in Google Scholar

[14] Danielle, Groat, Hyo, et al. (2108). Comparing Real-Time Self-Tracking and Device-Recorded Exercise Data in Subjects with Type 1 Diabetes. Applied Clinical Informatics, 9(04), 919-926. Search in Google Scholar

[15] Peter, D., Jones, Martin, et al. (2016). Artificial synapse chemical neuroprosthesis hydrophobic gating microfluidic nanofluidic nanopore neurotransmission neurotransmitter. Frontiers in neuroscience, 341. Search in Google Scholar

[16] Ming, Hao, Ken, et al. (2019). Smoother-based 3D Foot Trajectory Estimation Using Inertial Sensors. IEEE Transactions on Bio Medical Engineering, 66(12), 3534-3542. Search in Google Scholar

[17] Hammer, H. (2017). Micromechanical sensor. Sensor Review, 12(5), 577-589. Search in Google Scholar

[18] Guan, H., Li, Z. Y., Shen, H. H., et al. (2017). Compact Optical Add-Drop De-Multiplexers with Cascaded Micro-Ring Resonators on SOI Supported by the National High Technology Research and Development Program of China under Grant No 2015AA016904, the National Key Research and Development Plan of China unde. Chinese Physics Letters, 34(6), 064201. Search in Google Scholar

[19] Xu, M., Han, X., Zhao, C., et al. (2020). Design and Fabrication of a MEMS Capacitance Vacuum Sensor Based on Silicon Buffer Block. Journal of Microelectromechanical Systems, 29(6), 1556-1562. Search in Google Scholar

[20] Xu, S., Shi, M., Zhou, N., et al. (2022). A Performance Enhancement Method for MEMS Thermopile Pirani Sensors Through In-Situ Integration of Nanoforests. IEEE Electron Device Letters, 43(10), 1752-1755. Search in Google Scholar

[21] Roshan, M. H., Zaliasl, S., Joo, K. (2017). A MEMS-Assisted Temperature Sensor With 20-μK Resolution, Conversion Rate of 200 S/s, and FOM of 0.04 pJK. IEEE Journal of Solid-State Circuits, 52(1), 185-197. Search in Google Scholar

[22] Alexander, Turner, Stephen, et al. (2019). The Classification of Minor Gait Alterations Using Wearable Sensors and Deep Learning. IEEE Transactions on Bio Medical Engineering, 66(11), 3136-3145. Search in Google Scholar

[23] Liu, Y., Xu, X., Zhang, L., et al. (2017). Workload-based multi-task scheduling in cloud manufacturing. Robotics and Computer-Integrated Manufacturing, 45, 3-20. Search in Google Scholar

[24] Hao, Y., Helo, P. (2017). The role of wearable devices in meeting the needs of cloud manufacturing: A case study. Robotics and Computer-Integrated Manufacturing, 45, 168-179. Search in Google Scholar

[25] Liu, S., Gao, S., Han, L,. et al. (2018). A Hybrid Approach to Maximize Lifetime in Connected Directional Sensor Networks with Adjustable Sensing Ranges. Chinese Journal of Electronics, 27(1), 159-167. Search in Google Scholar

[26] Cansizoglu,, H., Bartolo-Perez C., Gao, Y., et al. (2018). Surface-illuminated photon-trapping high-speed Ge-on-Si photodiodes with improved efficiency up to 1700 nm. Photonics Research, 6(7), 734-742. Search in Google Scholar

[27] Rodríguez, R. M., Oré,, J. L. B., Esenarro D. (2021). Efficient and sustainable improvement of a system of production and commercialization of Essential Molle Oil (Schinus Molle). 3c Empresa: investigación y pensamiento crítico, 10(4), 43-75. Search in Google Scholar