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基于 IPSO-LSTM 的日光温室温湿度预.

• Authors : 刘博杰^1,2 ; 刘大铭^1,2 ; 沈 晖^1,3

• Source: Agricultural Mechanization Research. May2026, Vol. 48 Issue 5, p198-206. 9p.

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基于IPSO-BP模型的牧草产量预测方法研究.

• Authors : 朱彩芬¹; 赵钰¹; 田粉平¹

• Source: Journal of Anhui Agricultural Sciences. 1/28/2026, Vol. 54 Issue 2, p21-32. 6p.

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基于深度学习与IPSO 算法校正 SWAT 模型的黄河宁夏段氮磷模拟.

• Authors : 魏泽宇¹ ; 侯洪飞¹; 邱小琮²

• Source: Transactions of the Chinese Society of Agricultural Engineering. Dec2025, Vol. 41 Issue 24, p142-152. 11p.

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A Method for Estimating the State of Health of Aviation Lithium-Ion Batteries Based on an IPSO-ELM Model.

• Authors : Zeng, Zhaoyang^1,2 (AUTHOR) ; Zhu, Qingyu² (AUTHOR); Qu, Changqi^2,3 (AUTHOR)

• Source: Energies (19961073). Apr2026, Vol. 19 Issue 7, p1797. 24p.

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A Field Verification Denoising Method for Partial Discharge Ultrasonic Sensors Based on IPSO-Optimated Multivariate Variational Mode Decomposition Combined with Improved Wavelet Transforms.

• Authors : Cao, Tienan¹ (AUTHOR); Cui, Yufei^1,2 (AUTHOR); Tan, Haotian¹ (AUTHOR)

• Source: Sensors (14248220). Dec2025, Vol. 25 Issue 24, p7506. 18p.

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Adaptive Maximum Power Capture Control for Wind Power Systems with VRB Storage Using SVR-Based Sensorless Estimation and FPNN-IPSO Optimization.

• Authors : Lu, Kai-Hung¹ (AUTHOR); Hong, Chih-Ming² (AUTHOR) ; Cheng, Fu-Sheng³ (AUTHOR)

• Source: Energies (19961073). Oct2025, Vol. 18 Issue 20, p5461. 22p.

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Research on short-term photovoltaic power prediction based on LMD-IPSO-LSVM

• Authors : Yanjuan Ma; Mai Jiang; Limin Zhang

Subjects: Photovoltaic power prediction; Local Mean Decomposition; Least Square Support Vector Machine

• Source: EAI Endorsed Transactions on Energy Web, Vol 12 (2026)

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Prediction of Track Irregularities in High-Speed Railways based on CEEMDAN-IPSO-LSTM Model.

• Authors : Wu, Chen¹ (AUTHOR) ; Lu, Xiaofeng¹ (AUTHOR) ; Wang, Chongke¹ (AUTHOR)

• Source: IETE Journal of Research. Jun2025, Vol. 71 Issue 6, p2000-2009. 10p.

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Prediction of COD Degradation in Fenton Oxidation Treatment of Kitchen Anaerobic Wastewater Based on IPSO‐BP Neural Network.

• Authors : Zhang, Tianpeng^1,2 (AUTHOR) ; Ji, Pengfei^1,2 (AUTHOR); Tian, Dayong^2,3 (AUTHOR)

• Source: Journal of Electrical & Computer Engineering. 1/28/2025, Vol. 2025, p1-14. 14p.

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FATIGUE CRACK GROWTH PREDICTION BASED ON IPSO-PF ALGORITHM

• Authors : JIN Ting; WANG Xiaolei; LIU Yu

Subjects: Fatigue crack; Crack growth prediction; Particle filtering

• Source: Jixie qiangdu, Vol 47, Pp 47-53 (2025)

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