Research on Defect Detection of Bare Film in Landfills Based on a Temperature Spectrum Model by Feixiang Jia, Yayu Chen, Wei Hao

“…The best pixel image was extracted, the pixel comparison relationship was used to quantitatively detect the defect size of the HDPE film and the error between the image defect size and the actual size was analyzed. …”
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Simulation of wind load on street trees based on laser scanning and crown morphological equivalence by SUN Mengsi, ZHOU Xiaoqing, HUANG Xigui, CAI Ming, CUI Dongjin, LI Weiwen, LI Lixiao

“…The results indicate that the wind load simulation method of street trees based on the 3D laser scanning and crown morphology equivalence can accurately simulate the wind load characteristics of street trees, with an error between the simulated and experimental values of downwind resistance of street trees less than 5%. …”
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A control strategy for shipboard stabilization platforms based on a fuzzy adaptive proportional–integral–derivative (PID) control architecture by H. Liu, Z. Zeng, X. Yang, Y. Zou, X. Liu

“…Comparative simulations indicate a 50 % reduction in settling time (7.0 <span class="inline-formula">s</span> to 3.5 <span class="inline-formula">s</span>), zero overshoot, and <span class="inline-formula">&lt;</span> 0.03° steady-state tracking error under 2 <span class="inline-formula">Hz</span> sinusoidal excitation. …”
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Frequency-Constrained Economic Dispatch of Microgrids Considering Frequency Response Performance by Zhigang Wu, Chuyue Chen, Danyang Xu, Lin Guan

“…Finally, the model is formulated as a mixed-integer linear programming problem and validated through case studies, demonstrating (1) an 8.03% reduction in the frequency integral time absolute error (ITAE) with only a 2.1% increase in economic cost compared to single-objective approaches, while (2) maintaining maximum frequency deviation (MFD) < 0.5 Hz during disturbances.…”
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The Influence of Variable Operating Conditions and Components on the Performance of Centrifugal Compressors in Natural Gas Storage Reservoirs by Hua Chen, Gang Li, Shengping Wang, Ning Wang, Lifeng Zhou, Hao Zhou, Yukang Sun, Lijun Liu

“…Verification results show that the conversion error of this method is within 2%. Based on the proposed performance prediction method for non-similar operating conditions, the effects of varying inlet temperatures, pressures, and natural gas compositions on compressor performance are investigated. …”
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Evaluating MIMO-VLC System Performance: Modulation Techniques and Ambient Light Interference Effects by Emad S. Hassan, Abdoh Jabbari, Ayman A. Alharbi

“…The study evaluates the VLC systems in terms of bit error rate (BER), quality factor (Q-factor), and received power over varying link distances. …”
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Threshold Successive Cancellation Flip Decoding Algorithm for Polar Codes: Design and Performance by Zhicheng Liu, Liuquan Yao, Shuai Yuan, Guiying Yan, Zhiming Ma, Yuting Liu

“…Theoretical analysis reveals that Th-SCF asymptotically delays the first error position (FEP, the first part where the SC decoder fails) with probability 1, ensuring high decoding performance. …”
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Machine Learning‐Driven Extraction of Hybrid Compact Models Integrating Neural Networks and Berkeley Short‐Channel Insulated‐Gate Field‐Effect Transistor Model‐Common Multigate for... by Seungjoon Eom, Seunghwan Lee, Hyeok Yun, Kyeongrae Cho, Soomin Kim, Rockhyun Baek

“…Compared with the BSIM model alone, error reductions of 75, 70, 39, 85, and 81%, respectively, were achieved. …”
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Estimation of Manning\'s Roughness Coefficient by the Inverse Solving Method using Observational Data (Sanij River-Yazd, Iran) by Mahtab Alimoradi, Mohammad Reza Ekhtesasi, Arash malekian

“…The apparent error is caused by the larger diameter particles remaining on the surface of the bed and the carrying of fine particles by the flow. …”
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IMA-FLADRC-Based Electric-Driven High-Speed Maize Precision Seeding Control Strategy and System by Song Wang, Shujuan Yi, Bin Zhao, Yifei Li, Dongming Zhang, Tao Chen, Wensheng Sun

“…Simulation results show that the IMA-FLADRC-based guiding motor achieves no overshoot or static error, with an adjustment time of 1.121s, a maximum disturbance error of 12.016 r/min, and a disturbance recovery time of 0.008s, while the seeding motor exhibits no static error, minimal overshoot of 0.059%, an adjustment time of 0.374s, a maximum disturbance error of 2.563 r/min, and a disturbance recovery time of 0.003s, outperforming four other strategies. …”
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Assessing the direct and spillover protective effectiveness of Wolbachia-mediated introgression to combat dengueResearch in context by Jo Yi Chow, Somya Bansal, Borame S.L. Dickens, Pei Ma, Ary Hoffmann, Yoon Ling Cheong, Nazni Wasi Ahmad, Jue Tao Lim

“…Robustness checks, including visual inspections, root-mean-square error (RMSE) calculations, in-space and in-time placebo checks, and permutation tests, were used to inspect the model's ability in attributing dengue incidence reductions to the Wolbachia interventions. …”
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Seasonally Adaptive VMD-SSA-LSTM: A Hybrid Deep Learning Framework for High-Accuracy District Heating Load Forecasting by Yu Zhang, Keyong Hu, Lei Lu, Qingqing Yang, Min Fang

“…Notably, the MAPE values are reduced to 1.3824%, 0.9549%, 6.4018%, and 1.3272%, with average error reductions of 9.4873%, 3.8451%, 6.6545%, and 6.5712% compared to alternative models. …”
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Indoor and Ambient Air Pollution in Chennai, India during COVID-19 Lockdown: An Affordable Sensors Study by Naveen Puttaswamy, V. Sreekanth, Ajay Pillarisetti, Adithi R. Upadhya, Sudhakar Saidam, Balachandar Veerappan, Krishnendu Mukhopadhyay, Sankar Sambandam, Ronak Sutaria, Kalpana Balakrishnan

“…Lockdowns resulted in significant reductions in indoor and ambient PM levels, with the highest reduction observed during lockdown phase 2 (L2) and phase 3 (L3). …”
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Mine microseismic signal denoising method and application based on Adaboost_LSTM prediction by Xueyi SHANG, Yong CHEN, Jie CHEN, Linlin CHEN, Yuanyuan PU

“…Additionally, the noise reduction and P-wave arrival time picking performance was evaluated by the total cost function of P-wave arrival picking errors. …”
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Effectiveness and safety of direct oral anticoagulants in patients with atrial fibrillation and chronic kidney disease: a systematic review and meta-analysis of clinical trials by E. M. Mezhonov, Z. M. Safiullina, Y. A. Vyalkina, S. V. Shalaev

“…When analyzing all-cause mortality, direct oral anticoagulant therapy was also associated with a 14% reduction (HR=0.86, 95% CI 0.80–0.92, p&lt;0.001).Conclusion. …”
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Study on the water pressure distribution characteristics of tunnel lining and pressure-reducing capability of by Xinpeng CHEN, Chaoyi WANG, Feng LU, Linlong LI, Feilong ZHAO, Cheng XIONG, Chongjun LUO, Kaimeng MA

“…The maximum prediction error is 8.25%, indicating a high level of accuracy. …”
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Forecasting regional carbon prices in china with a hybrid model based on quadratic decomposition and comprehensive feature screening. by Yaoyang Yi

“…The experimental results indicate that compared with the traditional model, the proposed model achieves average reductions of 67.30%, 47.68%, 48.42%, and 48.79% in the mean squared error (MSE), root mean squared error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE), respectively, demonstrating higher prediction accuracy and robustness. …”
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Improved Neutral Density Predictions Through Machine Learning Enabled Exospheric Temperature Model by Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, W. Kent Tobiska

“…The newly developed EXTEMPLAR‐ML model allows for exospheric temperature predictions at any location with one model and provides performance improvements over its predecessor. We achieve reductions in mean absolute error of 2 K on an independent test set while providing similar error standard deviation values. …”
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Correction of the Contribution of Scattered Photon Radiation to the Ionization Chamber Readings During X-Ray Radiation Quality Assessment by A. A. Zaharadniuk, K. G. Senkovsky, R. V. Lukashevich

“…Reduction of the systematic error when determining the characteristics of the reference X-ray radiation fields is an essential task according to the ISO 4037-1:2019 standard. …”
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Lifestyle Profile Scale for Gravida with Urinary Incontinence: scale development and psychometric testing in Chinese Mainland by Hongyan Wang, Ping Xu, Ping-ping Guo, Xiaojuan Wang, Minna Mao, Suwen Feng

“…The seven-factor model, which accounted for 63.667% of the total item variance, demonstrated a good fit with the data (χ2/df =1.672, root mean square error of approximation=0.053, goodness of fit=0.884).Conclusions The LPG-UI has sufficient validity and reliability for assessing the lifestyle status of pregnant women with UI.…”
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