Edge AI System Using a Thermal Camera for Industrial Anomaly Detection

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing

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An Overview of Overfitting and its Solutions

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Data augmentation for improving deep learning in image classification problem

Mikołajczyk, A., & Grochowski, M. (2018) · International Interdisciplinary PhD Workshop (IIPhDW) · doi:10.1109/iiphdw.2018.8388338 · Cited by 1,737 · see citing works

Infrared thermography for condition monitoring – A review

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YOLO v3-Tiny: Object Detection and Recognition using one stage improved model

Adarsh, P., Rathi, P., & Kumar, M. (2020) · International Conference on Advanced Computing and Communication Systems (ICACCS) · doi:10.1109/icaccs48705.2020.9074315 · Cited by 560 · see citing works

Comparative analysis and practical implementation of the ESP32 microcontroller module for the internet of things

Maier, A., Sharp, A., & Vagapov, Y. (2017) · Internet Technologies and Applications (ITA) · doi:10.1109/itecha.2017.8101926 · Cited by 385 · see citing works

Thermal Object Detection in Difficult Weather Conditions Using YOLO

Krišto, M., Ivašić-Kos, M., & Pobar, M. (2020) · IEEE Access · doi:10.1109/access.2020.3007481 · Cited by 314 · see citing works

Machine Learning approach for Predictive Maintenance in Industry 4.0

Paolanti, M., Romeo, L., Felicetti, A., Mancini, A., Frontoni, E., & Loncarski, J. (2018) · 2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA) · doi:10.1109/mesa.2018.8449150 · Cited by 296 · see citing works

Machine learning for predictive maintenance of industrial machines using IoT sensor data

Kanawaday, A., & Sane, A. M. (2017) · IEEE International Conference on Software Engineering and Service Science (ICSESS) · doi:10.1109/icsess.2017.8342870 · Cited by 281 · see citing works

AI-Enhanced Offloading in Edge Computing: When Machine Learning Meets Industrial IoT

Sun, W. Y., Liu, J., & Yue, Y. (2019) · IEEE Network · doi:10.1109/mnet.001.1800510 · Cited by 220 · see citing works

Application of infrared thermography for predictive/preventive maintenance of thermal defect in electrical equipment

Huda, A. S. N., & Taib, S. (2013) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2013.07.028 · Cited by 193 · see citing works

Time Series Forecasting of Temperatures using SARIMA: An Example from Nanjing

Chen, P., Niu, A., Liu, D., et al. (2018) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/394/5/052024 · Cited by 126 · see citing works

Object Detection from Thermal Infrared and Visible Light Cameras in Search and Rescue Scenes

Bañuls-Arias, A., Mandow, A., Vázquez-Martín, R., Morales, J., & Garcia-Cerezo, A. J. (2020) · IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) · doi:10.1109/ssrr50563.2020.9292593 · Cited by 70 · see citing works

Anomaly Detections for Manufacturing Systems Based on Sensor Data—Insights into Two Challenging Real-World Production Settings

Kammerer, K., Hoppenstedt, B., Pryss, R. C., Stökler, S., Allgaier, J., & Reichert, M. (2019) · Sensors · doi:10.3390/s19245370 · Cited by 63 · see citing works

An Unsupervised TinyML Approach Applied for Pavement Anomalies Detection Under the Internet of Intelligent Vehicles

Andrade, P., Silva, I., Signoretti, G., Silva, M., Dias, J., Marques, L., & Costa, D. G. (2021) · 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT) · doi:10.1109/metroind4.0iot51437.2021.9488546 · Cited by 47 · see citing works

Convolutional Neural Network on Embedded Platform for People Presence Detection in Low Resolution Thermal Images

Cerutti, G., Prasad, R., & Farella, E. (2019) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.2019.8682998 · Cited by 45 · see citing works

A comprehensive study on MQTT as a low power protocol for internet of things application

Masdani, M. V., & Darlis, D. (2018) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/434/1/012274 · Cited by 30 · see citing works

Microcontrollers on the Edge – Is ESP32 with Camera Ready for Machine Learning?

Đokić, K. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-51935-3_23 · Cited by 28 · see citing works

Low-Cost Thermal Camera-Based Counting Occupancy Meter Facilitating Energy Saving in Smart Buildings

Kraft, M., Aszkowski, P., Pieczyński, D., et al. (2021) · Energies · doi:10.3390/en14154542 · Cited by 26 · see citing works

Preventive Maintenance Subject to Equipment Unavailability

Zhu, Z., Xiang, Y., Li, M., et al. (2019) · IEEE Transactions on Reliability · doi:10.1109/tr.2019.2913331 · Cited by 24 · see citing works

Using IR array MLX90640 to build an IoT solution for ALL and security smart systems

Spasov, G. V., Tsvetkov, V., & Petrova, G. I. (2019) · doi:10.1109/et.2019.8878637 · Cited by 18 · see citing works

ML Training on a Tiny Microcontroller for a Self-adaptive Neural Network-Based DC Motor Speed Controller

Funk, F., Bucksch, T., & Mueller-Gritschneder, D. (2020) · Communications in computer and information science · doi:10.1007/978-3-030-66770-2_20 · Cited by 8 · see citing works

A Comprehensive Survey on TinyML

Abadade, Y., Temouden, A., Bamoumen, H., Benamar, N., Chtouki, Y., & Hafid, A. S. (2023) · IEEE Access · doi:10.1109/access.2023.3294111 · Cited by 366 · see citing works

FS-IIoTSim: a flexible and scalable simulation framework for performance evaluation of industrial Internet of things systems

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Advanced correlation-based anomaly detection method for predictive maintenance

Zhao, P., Kurihara, M., Tanaka, J., et al. (2017) · IEEE Conference on Prognostics and Health Management · doi:10.1109/icphm.2017.7998309 · Cited by 65 · see citing works

DeepHealth: A Self-Attention Based Method for Instant Intelligent Predictive Maintenance in Industrial Internet of Things

Zhang, W., Yang, D., Xu, Y., Huang, X., Zhang, J., & Gidlund, M. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3029551 · Cited by 80 · see citing works

Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets

Abdallah, M., Joung, B. G., Lee, W. J., et al. (2023) · Sensors · doi:10.3390/s23010486 · Cited by 47 · see citing works

IoT Assisted Predictive Maintenance and Worker Safety: An Initiative

Kavitha, B. C., & Vallikannu, R. (2021) · Lecture notes in networks and systems · doi:10.1007/978-981-16-0739-4_68 · Cited by 2 · see citing works