A Comprehensive Review of Recent Advances in Smart Sensors and Transducers for Industrial Measurement and Automation
DOI:
https://doi.org/10.64137/31078699/IJETET-V2I3P104Keywords:
Smart Sensors, Transducers, Industrial Measurement, Industrial Automation, Intelligent Sensing, Sensor Technologies, Internet of Things (IoT), Industry 4.0, Wireless Sensor Networks, Real-Time Monitoring, Sensor Fusion, Predictive Maintenance, Industrial Control Systems, Embedded Sensing, Edge ComputingAbstract
The use of smart sensors and transducers has changed from a niche tool to one that is now considered a basic technology for industrial measurement and Automation, allowing accurate acquisition of information, intelligent monitoring, and autonomous control of industrial processes. This review covers the latest developments in smart sensing technologies and their role in the fields of Industry 4.0, Industrial Internet of Things (IIoT), and Smart Manufacturing (SM4.0). The paper covers the development of smart sensors, transducers, industrial measurement systems, wireless sensor networks, artificial intelligence, machine learning, edge computing, and the integration of digital twins for enhancing the performance of industry. Advancements in microelectromechanical systems (MEMS), nanoelectromechanical systems (NEMS) and other advanced fabrication technologies, fibre-optic sensing technology, wireless communication and embedded intelligence have enhanced the accuracy, reliability and performance of sensing. It also examines the applications of intelligent sensing in predictive maintenance, robotics, quality inspection, data mining and analysis tools for process monitoring, energy management, control information acquisition and autonomous manufacturing. Beyond this are critical issues of interoperability, cybersecurity, energy efficiency, communication reliability and standardization. Lastly, future research directions focusing on Explainable Artificial Intelligence, Edge Intelligence, Advanced Communication Technologies, and Sustainable Sensing Architecture are pointed out. Smart sensors and transducers will be crucial to advanced digital manufacturing and sustainable industrial transformation that give rise to a larger network of resilient, connected, and intelligent industrial automation systems.
References
[1] S. H. Abdulhussain et al., "A Comprehensive Review of Sensor Technologies in IoT: Technical Aspects, Challenges, and Future Directions," Computers, vol. 14, no. 8, pp. 342–342, Aug. 2025, doi: 10.3390/computers14080342.
[2] R. Agrifoglio, C. Cannavale, E. Laurenza, and C. Metallo, "How emerging digital technologies affect operations management through cocreation. Empirical evidence from the maritime industry," Production Planning & Control, vol. 28, no. 16, pp. 1298–1306, Oct. 2017, doi: 10.1080/09537287.2017.1375150.
[3] M. Bokhtiar Al Zami, S. Shaon, V. Khanh Quy, and D. C. Nguyen, "Digital Twin in Industries: A Comprehensive Survey," IEEE Access, vol. 13, pp. 47291–47336, 2025, doi: 10.1109/access.2025.3551532.
[4] M. Alabadi, A. Habbal, and X. Wei, "Industrial Internet of Things: Requirements, Architecture, Challenges, and Future Research Directions," IEEE Access, vol. 10, pp. 66374–66400, 2022, doi: 10.1109/access.2022.3185049.
[5] Y. M. Alginahi, O. Sabri, and W. Said, "Reinforcement Learning for Industrial Automation: A Comprehensive Review of Adaptive Control and Decision-Making in Smart Factories," Machines, vol. 13, no. 12, p. 1140, Dec. 2025, doi: 10.3390/machines13121140.
[6] J. Aponte-Luis, J. Gómez-Galán, F. Gómez-Bravo, M. Sánchez-Raya, J. Alcina-Espigado, and P. Teixido-Rovira, "An Efficient Wireless Sensor Network for Industrial Monitoring and Control," Sensors, vol. 18, no. 2, p. 182, Jan. 2018, doi: 10.3390/s18010182.
[7] Heni Belgacem and Inès Chihi, "Toward Reliable and Intelligent Sensor Systems: A Comprehensive Study of Fault Diagnosis and Mitigation," IEEE Sensors Reviews, pp. 1–27, Jan. 2025, doi: 10.1109/sr.2025.3601092.
[8] G. B. Benitez, N. F. Ayala, and A. G. Frank, "Industry 4.0 innovation ecosystems: An evolutionary perspective on value cocreation," International Journal of Production Economics, vol. 228, p. 107735, Oct. 2020, doi: 10.1016/j.ijpe.2020.107735.
[9] Z. Bi, L. Da Xu, and C. Wang, "Internet of Things for Enterprise Systems of Modern Manufacturing," IEEE Transactions on Industrial Informatics, vol. 10, no. 2, pp. 1537–1546, May 2014, doi: 10.1109/tii.2014.2300338.
[10] L. Bibby and B. Dehe, "Defining and assessing industry 4.0 maturity levels – case of the defence sector," Production Planning & Control, vol. 29, no. 12, pp. 1030–1043, Sept. 2018, doi: 10.1080/09537287.2018.1503355.
[11] Burke, R.; Mussomeli, A.; Laaper, S.; Hartigan, M.; Sniderman, B. The smart factory. Responsive, adaptive, connected manufacturing. Deloitte 2014, 31, 1–10.
[12] J. L. C. Choy, J. Wu, C. Long, and Y.-B. Lin, "Ubiquitous and Low Power Vehicles Speed Monitoring for Intelligent Transport Systems," IEEE Sensors Journal, vol. 20, no. 11, pp. 5656–5665, June 2020, doi: 10.1109/jsen.2020.2974829.
[13] Z. M. Çınar, A. A. Nuhu, Q. Zeeshan, O. Korhan, M. Asmael, and B. Safaei, "Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0," Sustainability, vol. 12, no. 19, p. 8211, Oct. 2020, doi: 10.3390/su12198211.
[14] M. Crespo-Aguado, R. Lozano, F. Hernandez-Gobertti, N. Molner, and D. Gomez-Barquero, "Flexible Hyper-Distributed IoT–Edge–Cloud Platform for Real-Time Digital Twin Applications on 6G-Intended Testbeds for Logistics and Industry," Future Internet, vol. 16, no. 11, p. 431, Nov. 2024, doi: 10.3390/fi16110431.
[15] B. Dahlin, "Size Matters: Problems and Advantages Associated with Highly Miniaturized Sensors," Sensors, vol. 12, no. 3, pp. 3018–3036, Mar. 2012, doi: 10.3390/s120303018.
[16] L. S. Dalenogare, G. B. Benitez, N. F. Ayala, and A. G. Frank, "The expected contribution of Industry 4.0 technologies for industrial performance," International Journal of Production Economics, vol. 204, no. 1, pp. 383–394, Oct. 2018, doi: 10.1016/j.ijpe.2018.08.019.
[17] Spyridon Daousis, Nikolaos Peladarinos, Vasileios Cheimaras, Panagiotis Papageorgas, D. D Piromalis, and Radu Adrian Munteanu, "Overview of Protocols and Standards for Wireless Sensor Networks in Critical Infrastructures," Future Internet, vol. 16, no. 1, pp. 33–33, Jan. 2024, doi: 10.3390/fi16010033.
[18] Md. Shezad Dihan et al., “Digital Twin: Data Exploration, Architecture, Implementation and Future,” Heliyon, vol. 10, no. 5, pp. e26503-e26503, Feb. 2024, doi: 10.1016/j.heliyon.2024.e26503.
[19] Dodia, P. Shah, R. Sekhar, and M. D, "Smart Sensors in Industry 4.0," 2023 4th International Conference for Emerging Technology (INCET), pp. 1–6, May 2023, doi: 10.1109/incet57972.2023.10170282.
[20] T. F. Edgar and E. N. Pistikopoulos, "Smart manufacturing and energy systems," Computers & Chemical Engineering, vol. 114, pp. 130–144, June 2018, doi: 10.1016/j.compchemeng.2017.10.027.
[21] H. Farhangi, "Smart Grid," Encyclopedia of Sustainable Technologies, pp. 195–203, 2017, doi: 10.1016/b978-0-12-409548-9.10135-6.
[22] Muhammad Shoaib Farooq et al., "A Survey on the Role of Industrial IoT in Manufacturing for Implementation of Smart Industry," Sensors, vol. 23, no. 21, pp. 8958–8958, Nov. 2023, doi: 10.3390/s23218958.
[23] Ficili, M. Giacobbe, G. Tricomi, and A. Puliafito, "From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI," Sensors, vol. 25, no. 6, pp. 1763–1763, Mar. 2025, doi: 10.3390/s25061763.
[24] F. J. Folgado, D. Calderón, I. González, and A. J. Calderón, "Review of Industry 4.0 from the Perspective of Automation and Supervision Systems: Definitions, Architectures and Recent Trends," Electronics, vol. 13, no. 4, p. 782, Jan. 2024, doi: 10.3390/electronics13040782.
[25] G. Frank, L. S. Dalenogare, and N. F. Ayala, "Industry 4.0 technologies: Implementation patterns in manufacturing companies," International Journal of Production Economics, vol. 210, no. 8, pp. 15–26, Apr. 2019, doi: https://doi.org/10.1016/j.ijpe.2019.01.004.
[26] Salimi Lafmejani, M. Tale Masouleh, and A. Kalhor, "Trajectory tracking control of a pneumatically actuated 6-DOF Gough–Stewart parallel robot using Backstepping-Sliding Mode controller and geometry-based quasi forward kinematic method," Robotics and Computer-Integrated Manufacturing, vol. 54, pp. 96–114, Dec. 2018, doi: 10.1016/j.rcim.2018.06.001.
[27] L. S. Goecks, A. F. Habekost, A. M. Coruzzolo, and M. A. Sellitto, "Industry 4.0 and Smart Systems in Manufacturing: Guidelines for the Implementation of a Smart Statistical Process Control," Applied System Innovation, vol. 7, no. 2, p. 24, Apr. 2024, doi: 10.3390/asi7020024.
[28] M. F. Hamza, "Cloud, Edge, and Digital Twin Architectures for Condition Monitoring of Computer Numerical Control Machine Tools: A Systematic Review," Information, vol. 17, no. 2, p. 153, Feb. 2026, doi: 10.3390/info17020153.
[29] Herrojo, Paredes, Mata-Contreras, and Martín, "Chipless-RFID: A Review and Recent Developments," Sensors, vol. 19, no. 15, p. 3385, Aug. 2019, doi: 10.3390/s19153385.
[30] Y. Hu et al., "Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review," IEEE Internet of Things Journal, vol. 11, no. 11, pp. 1–1, Jan. 2024, doi: 10.1109/jiot.2024.3367692.
[31] D. Imkamp et al., "Challenges and trends in manufacturing measurement technology – the 'Industrie 4.0' concept," Journal of Sensors and Sensor Systems, vol. 5, no. 2, pp. 325–335, Oct. 2016, doi: 10.5194/jsss-5-325-2016.
[32] D. Ivanov, A. Dolgui, B. Sokolov, F. Werner, and M. Ivanova, "A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0," International Journal of Production Research, vol. 54, no. 2, pp. 386–402, Jan. 2015, doi: 10.1080/00207543.2014.999958.
[33] Jeon, J.-S., Yoon, J. Um, and S.-H. Suh, "The architecture development of Industry 4.0 compliant smart machine tool system (SMTS)," Journal of Intelligent Manufacturing, vol. 31, no. 8, pp. 1837–1859, Jan. 2020, doi: 10.1007/s10845-020-01539-4.
[34] T. Kalsoom, N. Ramzan, S. Ahmed, and M. Ur-Rehman, "Advances in Sensor Technologies in the Era of Smart Factory and Industry 4.0," Sensors, vol. 20, no. 23, p. 6783, Nov. 2020, doi: 10.3390/s20236783.
[35] Y. A. Alsultanny and F. M. Alnassar, "Evaluating Factors Motivate Users on Green IT Readiness (Part 2)," International Journal of Green Computing, vol. 8, no. 1, pp. 23–35, Jan. 2017, doi: 10.4018/ijgc.2017010102.
[36] Kim, H. Cho, S.-I. Han, A. Han, and K.-H. Han, "A disposable microfluidic flow sensor with a reusable sensing substrate," Sensors and Actuators B: Chemical, vol. 288, pp. 147–154, June 2019, doi: 10.1016/j.snb.2019.02.088.
[37] Kimani, V. Oduol, and K. Langat, "Cyber Security Challenges for IoT-based Smart Grid Networks," International Journal of Critical Infrastructure Protection, vol. 25, no. 2, pp. 36–49, June 2019.
[38] N. V. Kirianaki, S. Y. Yurish, N. O. Shpak, and V. P. Deynega, "Data Acquisition and Signal Processing for Smart Sensors," Mar. 2002, doi: 10.1002/0470846100.
[39] H. Landaluce, L. Arjona, A. Perallos, F. Falcone, I. Angulo, and F. Muralter, "A Review of IoT Sensing Applications and Challenges Using RFID and Wireless Sensor Networks," Sensors, vol. 20, no. 9, p. 2495, Apr. 2020, doi: 10.3390/s20092495.
[40] N. Le, L. Le Tuan, and M. N. Dang Tuan, "Smart-building management system: An Internet-of-Things (IoT) application business model in Vietnam," Technological Forecasting and Social Change, vol. 141, pp. 22–35, Apr. 2019, doi: 10.1016/j.techfore.2019.01.002.
[41] J. Li, F. Xing, D. Chu, and Z. Liu, "High-Accuracy Self-Calibration for Smart, Optical Orbiting Payloads Integrated with Attitude and Position Determination," Sensors, vol. 16, no. 8, p. 1176, July 2016, doi: 10.3390/s16081176.
[42] Z. Li et al., "A reference framework for the digital twin smart factory based on cloud-fog-edge computing collaboration," Journal of Intelligent Manufacturing, vol. 36, no. 5, pp. 3625–3645, June 2024, doi: 10.1007/s10845-024-02424-0.
[43] H. Lightfoot, T. Baines, and P. Smart, "The servitization of manufacturing," International Journal of Operations & Production Management, vol. 33, no. 11/12, pp. 1408–1434, Nov. 2013, doi: 10.1108/ijopm-07-2010-0196.
[44] Majid et al., "Applications of Wireless Sensor Networks and Internet of Things Frameworks in the Industry Revolution 4.0: A Systematic Literature Review," Sensors, vol. 22, no. 6, p. 2087, Mar. 2022, doi: 10.3390/s22062087.
[45] Manavalan and K. Jayakrishna, "A review of Internet of Things (IoT) embedded sustainable supply chain for Industry 4.0 requirements," Computers & Industrial Engineering, vol. 127, no. 1, pp. 925–953, Jan. 2019, doi: 10.1016/j.cie.2018.11.030.
[46] C. Matta, S. Pinna, S. Ortu, F. Parodo, D. Giusto, and M. Anedda, "A Survey on IoT-Based Smart Electrical Systems: An Analysis of Standards, Security, and Applications," Energies, vol. 19, no. 4, p. 965, Feb. 2026, doi: 10.3390/en19040965.
[47] G. K. McMillan and D. Considine, Process/Industrial Instruments and Controls Handbook, 5th Edition. McGraw Hill Professional, 1999.
[48] Morchid, Z. Said, A. Y. Abdelaziz, P. Siano, and H. Qjidaa, "Fuzzy Logic-Based IoT System for Optimizing Irrigation with Cloud Computing: Enhancing Water Sustainability in Smart Agriculture," Smart Agricultural Technology, p. 100979, Apr. 2025, doi: 10.1016/j.atech.2025.100979.
[49] V. Mulloni and M. Donelli, "Chipless RFID Sensors for the Internet of Things: Challenges and Opportunities," Sensors, vol. 20, no. 7, p. 2135, Apr. 2020, doi: 10.3390/s20072135.
[50] S. Han and J. Xing, "Ensuring data storage security through a novel third party auditor scheme in cloud computing," 2011 IEEE International Conference on Cloud Computing and Intelligence Systems, pp. 264–268, Sept. 2011, doi: 10.1109/ccis.2011.6045072.
[51] Noor-A-Rahim et al., "Wireless Communications for Smart Manufacturing and Industrial IoT: Existing Technologies, 5G and Beyond," Sensors, vol. 23, no. 1, p. 73, Jan. 2023, doi: 10.3390/s23010073.
[52] O. Val, O. O. Olaniyi, O. Selesi-Aina, M. O. Gbadebo, and T. M. Kolade, "Machine Learning-enabled Smart Sensors for Real-time Industrial Monitoring: Revolutionizing Predictive Analytics and Decision-making in Diverse Sector," Asian Journal of Research in Computer Science, vol. 17, no. 11, pp. 92–113, Nov. 2024, doi: 10.9734/ajrcos/2024/v17i11522.
[53] S. Pandey, M. Chaudhary, and Z. Tóth, "An investigation on real-time insights: enhancing process control with IoT-enabled sensor networks," Discover Internet of Things, vol. 5, no. 1, Mar. 2025, doi: 10.1007/s43926-025-00124-6.
[54] H. Rawat and Y. Pathak, "Smart Sensors: Analyzing Efficiency of Smart Sensors in Public Domain," SSRN Electronic Journal, 2019, doi: 10.2139/ssrn.3517663.
[55] M. Pech, J. Vrchota, and J. Bednář, "Predictive Maintenance and Intelligent Sensors in Smart Factory: Review," Sensors, vol. 21, no. 4, p. 1470, Feb. 2021, doi: 10.3390/s21041470.
[56] Punithavathi, S. Geetha, M. Karuppiah, S. H. Islam, M. M. Hassan, and K.-K. R. Choo, "A lightweight machine learning-based authentication framework for smart IoT devices," Information Sciences, vol. 484, pp. 255–268, May 2019, doi: 10.1016/j.ins.2019.01.073.
[57] M. A. Rahman, M. F. Shahrior, K. Iqbal, and A. A. Abushaiba, "Enabling Intelligent Industrial Automation: A Review of Machine Learning Applications with Digital Twin and Edge AI Integration," Automation, vol. 6, no. 3, p. 37, Aug. 2025, doi: 10.3390/automation6030037.
[58] R. Rakholia, A. L. Suárez-Cetrulo, M. Singh, and R. S. Carbajo, "Advancing Manufacturing Through Artificial Intelligence: Current Landscape, Perspectives, Best Practices, Challenges and Future Direction," IEEE Access, pp. 1–1, 2024, doi: 10.1109/access.2024.3458830.
[59] M. Saez, F. P. Maturana, K. Barton, and D. M. Tilbury, "Real-Time Manufacturing Machine and System Performance Monitoring Using Internet of Things," IEEE Transactions on Automation Science and Engineering, vol. 15, no. 4, pp. 1735–1748, Oct. 2018, doi: 10.1109/tase.2017.2784826.
[60] Sharma et al., "Recent Trends in AI-Based Intelligent Sensing," Electronics, vol. 11, no. 10, p. 1661, May 2022, doi: 10.3390/electronics11101661.
[61] R. Sharma, "Enhancing Industrial Automation and Safety Through Real-Time Monitoring and Control Systems," International Journal on Smart & Sustainable Intelligent Computing, vol. 1, no. 2, pp. 1–20, Oct. 2024, doi: 10.63503/j.ijssic.2024.30.
[62] Z. Sheng, C. Mahapatra, C. Zhu, and V. C. M. Leung, "Recent Advances in Industrial Wireless Sensor Networks Toward Efficient Management in IoT," IEEE Access, vol. 3, pp. 622–637, 2015, doi: 10.1109/access.2015.2435000.
[63] M. Shkel, "Smart MEMS: micro-structures with error-suppression and self-calibration control capabilities," Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), pp. 1208–1213 vol.2, 2001, doi: 10.1109/acc.2001.945886.
[64] Shrouf, J. Ordieres, and G. Miragliotta, "Smart factories in Industry 4.0: A review of the concept and of energy management approaches in production based on the Internet of Things paradigm," 2014 IEEE International Conference on Industrial Engineering and Engineering Management, Dec. 2014, doi: 10.1109/ieem.2014.7058728.
[65] Arvindan Sivasuriyan et al., "Emerging Trends in the Integration of Smart Sensor Technologies in Structural Health Monitoring: A Contemporary Perspective," Sensors, vol. 24, no. 24, pp. 8161–8161, Dec. 2024, doi: 10.3390/s24248161.
[66] H. Taheri and A. Salimi Beni, "Artificial Intelligence, Machine Learning, and Smart Technologies for Nondestructive Evaluation," Handbook of Nondestructive Evaluation 4.0, pp. 853–881, 2025, doi: 10.1007/978-3-031-84477-5_70.
[67] Tambare, C. Meshram, C.-C. Lee, R. J. Ramteke, and A. L. Imoize, "Performance Measurement System and Quality Management in Data-Driven Industry 4.0: a Review," Sensors, vol. 22, no. 1, p. 224, Dec. 2021.
[68] V. Tanyingyong, R. Olsson, J. Cho, M. Hidell, and P. Sjodin, "IoT-Grid: IoT Communication for Smart DC Grids," 2016 IEEE Global Communications Conference (GLOBECOM), pp. 1–7, Dec. 2016, doi: 10.1109/glocom.2016.7841917.
[69] Tapia and A. Elwany, "A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing," Journal of Manufacturing Science and Engineering, vol. 136, no. 6, Oct. 2014, doi: 10.1115/1.4028540.
[70] J. H. Tarek and M. S. Paran, "QUANTITATIVE ASSESSMENT OF AUTOMATION AND CONTROL STRATEGIES FOR PERFORMANCE OPTIMIZATION IN U.S. INDUSTRIAL PLANTS," ASRC Procedia: Global Perspectives in Science and Scholarship, vol. 04, no. 01, pp. 169–205, Jan. 2024, doi: 10.63125/eqfz8220.
[71] Ziba Torkashvand, Farzaneh Shayeganfar, and A. Ramazani, "Nanomaterials Based Micro/Nanoelectromechanical System (MEMS and NEMS) Devices," Micromachines, vol. 15, no. 2, pp. 175–175, Jan. 2024, doi: 10.3390/mi15020175.
[72] M. Trigka and E. Dritsas, "Wireless Sensor Networks: From Fundamentals and Applications to Innovations and Future Trends," IEEE Access, vol. 13, pp. 96365–96399, 2025, doi: 10.1109/access.2025.3572328.
[73] Y.-C. Tsai, P.-C. Huang, and C.-L. Dai, "Editorial for the Special Issue on MEMS/NEMS Devices and Applications, 2nd Edition," Micromachines, vol. 16, no. 2, p. 189, Feb. 2025, doi: 10.3390/mi16020189.
[74] K. P. Uvarajan, "Vibration Analysis of Smart Structures Integrated with Embedded Piezoelectric Sensor Networks: A Comprehensive Review," Journal of Reconfigurable Hardware Architectures and Embedded Systems, pp. 18–29, 2024, Accessed: Aug. 10, 2026. [Online]. Available: https://fsrap.com/index.php/JRHAES/article/view/3
[75] M. Wilkesmann and U. Wilkesmann, "Industry 4.0 – organizing routines or innovations?," VINE Journal of Information and Knowledge Management Systems, vol. 48, no. 2, pp. 238–254, May 2018, doi: 10.1108/vjikms-04-2017-0019.
[76] Xu, W. Yu, D. Griffith, and N. Golmie, "A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective," IEEE Access, vol. 6, pp. 78238–78259, 2018, doi: 10.1109/access.2018.2884906.
[77] M. Xu et al., "Toward Engineering a Secure Android Ecosystem," ACM Computing Surveys, vol. 49, no. 2, pp. 1–47, Nov. 2016, doi: 10.1145/2963145.
[78] Xue, P. Xue, Z. Wang, and H. Ma, "Artificial Intelligence for Cybersecurity in IoT-Edge Systems: A Structured Review of Methods, Datasets, Evaluation, and Deployment Challenges," Electronics, vol. 15, no. 11, p. 2409, June 2026, doi: 10.3390/electronics15112409.
[79] Yin, S. X., Ding, X., Xie, and H. Luo, "A Review on Basic Data-Driven Approaches for Industrial Process Monitoring," IEEE Transactions on Industrial Electronics, vol. 61, no. 11, pp. 6418–6428, Nov. 2014, doi: 10.1109/TIE.2014.2301773.
[80] S.M. Yuan, Z.-W. Hong, and W.-K. Cheng, “Artificial Intelligence and Deep Learning in Sensors and Applications,” Sensors, vol. 24, no. 10, p. 3258, May 2024, doi: 10.3390/s24103258.
[81] Z. Zhang, X. Liu, H. Zhou, S. Xu, and C. Lee, "Advances in Machine‐Learning Enhanced Nanosensors: From Cloud Artificial Intelligence Toward Future Edge Computing at Chip Level," Small Structures, Dec. 2023, doi: 10.1002/sstr.202300325.
[82] Zuo, Y., Dou, X., Chang, Y., Chen, and C. Ma, "Design and Performance Analysis of a Multilayer Sea Ice Temperature Sensor Used in Polar Region," Sensors, vol. 18, no. 12, p. 4467, Dec. 2018, doi: 10.3390/s18124467.
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