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[21]Harmonic amplitude dispersion: When production intrinsic prior meets oxygen concentration detection of pharmaceutical glass vials[J].IEEE Transactions on Instrumentation and Measurement, 2020: 9833-9843.
[22]Noise-robust self-adaptive support vector machine for residual oxygen concentration measurement[J].IEEE Transactions on Instrumentation and Measurement, 2020: 8474-8485.
[23]Tilt angle on-line prognosis by using improved sparse LSSVR and dynamic sliding window[J].IEEE Transactions on Instrumentation and Measurement, 2017: 296-306.
[24]Spectral confocal micro displacement measurement based on temporal-spatial analysis of spot profiles[J].IEEE Transactions on Instrumentation and Measurement, 2024: 1-9.
[25]Automated visual defect detection for flat steel surface: A survey[J].IEEE Transactions on Instrumentation and Measurement, 2020: 626-644.
[26]Headspace oxygen concentration measurement for pharmaceutical glass bottles in open-path optical environment using TDLAS /WMS[J].IEEE Transactions on Instrumentation and Measurement, 2019: 5828-5842.
[27]Generalized completed local binary patterns for time-efficient steel surface defect classification[J].IEEE Transactions on Instrumentation and Measurement, 2018: 667-679.
[28]Residual oxygen detection in pharmaceutical glass vials based on harmonic slope consistency[J].Measurement, 2026
[29]An improved residual oxygen detection method by using axis-sectional multi-reflection within optical-length-limited pharmaceutical vials[J].Measurement, 2023: 1-11.
[30]TS-LSSVM: Triple sparse least squares support vector machine for residual oxygen concentration detection of encapsulated pharmaceutical vials[J].Measurement, 2023: 1-12.
[31]Yichuang Sun, Chunhua Yang*, Li Liu, Xiaoxin Fang, Qiwu Luo.Automated Visual Defect Detection for Flat Steel Surface: A Survey[J].IEEE Trans. on Instrumentation and Measurement, 2020: 1-18.
[32]Headspace oxygen concentration measurement for pharmaceutical glass bottles in open-path optical environment using TDLAS /WMS[J].IEEE Trans. on Instrumentation and Measurement, 2019
[33]Self-learning hot data prediction: Where echo state network meets NAND flash memories[J].IEEE Transactions on Circuits and Systems I, 2019
[34]Outliers-Robust CFAR Detector of Gaussian Clutter Based on the Truncated-Maximum-Likelihood-Estimator in SAR Imagery[J].IEEE Trans. on Intelligent Transportation Systems, 2019, Online: 1-11.
[35]Generalized completed local binary patterns for time-efficient steel surface defect classification[J].IEEE Trans. on Instrumentation and Measuremet, 2019, 68 (3) : 667-679.
[36]Surface defect classification for hot-rolled steel strips by selectively dominant local binary patterns[J].IEEE Access, 2019, 7 (1) : 23488-23499.
[37]Dynamic virtual page-based flash translation layer with novel hot data identification and adaptive parallelism management[J].IEEE Access, 2018, 6 (1) : 56200-56213.
[38]Optimal modeled six-phase space vector pulse width modulation method for stator voltage harmonic suppression[J].Energies, 2018, 2018 (2598) : 1-16.
[39]Time-effective fault diagnosis algorithms for analog and mixed-signal circuits using sparsity-aware multi-class relevance vector machine[C]. Florence, Italy.IEEE ISCAS, 2018: 1-4.
[40]Jointly optimized extreme learning machine for short-term prediction of fading channel[J].IEEE Access, 2018, 6 (1) : 49029-49039.

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