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Optimized Design of Instrument Recognition Based on CNN Model

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Nov 18, 2024

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Northrop, R. B. (2018). Introduction to instrumentation and measurements. CRC press. Search in Google Scholar

Bolton, W. (2021). Instrumentation and control systems. Newnes. Search in Google Scholar

Webster, J. G., & Eren, H. (2018). Measurement, Instrumentation, and Sensors Handbook: Two-Volume Set. CRC press. Search in Google Scholar

Singh, H. V., & Mahmoud, Q. H. (2019). ViDAQ: A computer vision based remote data acquisition system for reading multi-dial gauges. Journal of Industrial Information Integration, 15, 29-41. Search in Google Scholar

Zhang, J., Yang, L., Li, J., Cao, J., & Xu, X. (2017, May). The result extraction of irregular dial instrument based on the image. In 2017 29th Chinese Control And Decision Conference (CCDC) (pp. 6145-6150). IEEE. Search in Google Scholar

Salomon, G., Laroca, R., & Menotti, D. (2022). Image-based automatic dial meter reading in unconstrained scenarios. Measurement, 204, 112025. Search in Google Scholar

Li, D., Li, W., Yu, X., Gao, Q., & Song, Y. (2021). Automatic reading algorithm of substation dial gauges based on coordinate positioning. Applied Sciences, 11(13), 6059. Search in Google Scholar

Ren, Z., Fang, F., Yan, N., & Wu, Y. (2022). State of the art in defect detection based on machine vision. International Journal of Precision Engineering and Manufacturing-Green Technology, 9(2), 661-691. Search in Google Scholar

Selvathai, T., Ramesh, S., & Radhakrishnan, K. K. (2017, February). Automatic interpretation of analog dials in driver’s instrumentation panel. In 2017 Third International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB) (pp. 411-415). IEEE. Search in Google Scholar

Salomon, G., Laroca, R., & Menotti, D. (2020, July). Deep learning for image-based automatic dial meter reading: Dataset and baselines. In 2020 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE. Search in Google Scholar

Jiang, W., Ren, Y., Liu, Y., & Leng, J. (2021). A method of radar target detection based on convolutional neural network. Neural Computing and Applications, 33(16), 9835-9847. Search in Google Scholar

Xu, G., Su, X., Liu, W., & Xiu, C. (2019). Target detection method based on improved particle search and convolution neural network. IEEE Access, 7, 25972-25979. Search in Google Scholar

Gao, F., Huang, T., Sun, J., Wang, J., Hussain, A., & Yang, E. (2019). A new algorithm for SAR image target recognition based on an improved deep convolutional neural network. Cognitive Computation, 11, 809-824. Search in Google Scholar

Ramos, A. L., Domingo, J., & Barfeh, D. P. Y. (2020, June). Analysis of Weiner filter approximation value based on performance of metrics of image restoration. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-6). IEEE. Search in Google Scholar

He, Y., Liu, P., Wang, Z., Hu, Z., & Yang, Y. (2019). Filter pruning via geometric median for deep convolutional neural networks acceleration. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 4340-4349). Search in Google Scholar

Lei, T., Jia, X., Zhang, Y., He, L., Meng, H., & Nandi, A. K. (2018). Significantly fast and robust fuzzy c-means clustering algorithm based on morphological reconstruction and membership filtering. IEEE Transactions on Fuzzy Systems, 26(5), 3027-3041. Search in Google Scholar

Lee, S., Kim, H., Lieu, Q. X., & Lee, J. (2020). CNN-based image recognition for topology optimization. Knowledge-Based Systems, 198, 105887. Search in Google Scholar

Lin, Y., Zhong, Q., & Sun, H. (2020). A pointer type instrument intelligent reading system design based on convolutional neural networks. Frontiers in Physics, 8, 618917. Search in Google Scholar

Zhang, J., Wei, T., & Zhang, M. L. (2024). Label-Specific Time–Frequency Energy-Based Neural Network for Instrument Recognition. IEEE Transactions on Cybernetics. Search in Google Scholar

Peng, J., Chen, Q., Kang, L., Jie, H., & Han, Y. (2022). Autonomous recognition of multiple surgical instruments tips based on arrow OBB-YOLO network. IEEE Transactions on Instrumentation and Measurement, 71, 1-13. Search in Google Scholar

Ocer Nuri Erkin,Kaplan Gordana,Erdem Firat,Kucuk Matci Dilek & Avdan Ugur. (2020). Tree extraction from multi-scale UAV images using Mask R-CNN with FPN. Remote Sensing Letters(9),847-856. Search in Google Scholar

Zeyu Shangguan & Mohammad Rostami. (2024). Improved region proposal network for enhanced few-shot object detection.. Neural networks : the official journal of the International Neural Network Society106699. Search in Google Scholar

Guinan Wu & Qinghong Wu. (2024). Enhancing Steel Surface Defect Detection: A Hyper-YOLO Approach with Ghost Modules and Hyper FPN. IAENG International Journal of Computer Science(9). Search in Google Scholar

Youngsun Kong,Md Billal Hossain,Andrew Peitzsch,Hugo F. Posada Quintero & Ki H. Chon. (2024). Automatic motion artifact detection in electrodermal activity signals using 1D U-net architecture. Computers in Biology and Medicine109139-109139. Search in Google Scholar

Hongtu Zhao,Menghua Liang & Hao Li. (2024). Research on gesture segmentation method based on FCN combined with CBAM-ResNet50. Signal, Image and Video Processing(11),7729-7740. Search in Google Scholar

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