Dual-Closed-Loop Control System for Polysilicon Reduction Furnace Power Supply Based on Hysteresis PID and Predictive Control by Shihao Li, Tiejun Zeng, Shan Jian, Guiping Cui, Ziwen Che, Genghong Lin, Zeyu Yan

“…Simulation results demonstrate that this hybrid control strategy significantly improves the system’s performance, achieving faster response times, smaller steady-state errors, and notable improvements in the uniformity of polysilicon deposition, which is critical for high-quality silicon rod growth. …”
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A systematic algorithm using 16S ribosomal RNA for accurate diagnosis of pneumonia pathogens by Ferry Dwi Kurniawan, Dina Alia, Mamoru Shiraishi, Megumi Higo, Yoshiaki Inoue, Koichi Hagiwara

“…It was robust against sequencing errors and successfully distinguished S. pneumoniae from closely related species. …”
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Advances in Biomedical Missing Data Imputation: A Survey by Miriam Barrabes, Maria Perera, Victor Novelle Moriano, Xavier Giro-I-Nieto, Daniel Mas Montserrat, Alexander G. Ioannidis

“…The origins of missing values in biomedical datasets are diverse, including experimental errors, equipment malfunctions, and variations in data collection protocols tailored to individual patient conditions. …”
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Wall Corrosion Testing of Nuclear Power Pipelines Based on EMAT by Jiahong JIANG, Fengjie SU, Xiaoming JIN, Yingjie SHI, Ke XU

“…[Result] The result shows that this method achieves measurement errors within 1%, indicating high detection accuracy suitable for corrosion detection on the inner walls of nuclear power plant pipelines. …”
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Big Data in Leadership Studies: Automated Machine Learning Model to Predict Preferred Leader Behavior Across Cultures by Erik Lankut, Gillian Warner-Søderholm, Ilan Alon, Inga Minelgaité

“…We offer a robust empirical measurement of culturally contingent leader behavior and entrepreneurship behaviors and provide a tool for assessing the cultural predictors of preferred leader behavior to minimize predictive errors, explore patterns in the data and make predictions in an empirically robust way. …”
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The Utilization of a Naïve Bayes Model for Predicting the Energy Consumption of Buildings by Behnam Sadaghat, Ali Javadzade Khiavi, Babak Naeim, Erfan Khajavi, Hadi Sadaghat, Amir Reza Taghavi Khanghah

“…These evaluations demonstrate that the NBSC model stands out as the most exceptional predictor in terms of real-world applicability and accuracy. It achieves an outstanding maximum  value of 0.987, showcasing a high degree of explanatory power and an impressively low  value of 1.166, signifying minimal prediction errors in comparison to other models. …”
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Development of Hybrid Exemplar based DLSRGAN model for Restoration of the Distorted Signals by Tammineni Shanmukha Prasanthi, Swaraiya Madhuri Rayavarapu, Gottapu Sasibhushana Rao, Rajkumar Goswami

“…Initial results indicate significant improvements in signal clarity and detail recovery, outperforming conventional methods in metrics such as Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM) and Mean Squared Error (MSE). This hybrid approach not only restores signals more effectively but also preserves essential features, making it a valuable tool for applications in telecommunications and audio processing. …”
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Self-traceable angle standards with simplified traceability chain for dimensional metrology by Xiao Deng, Junyu Shen, Yingfan Xiong, Jinming Gou, Zhaohui Tang, Guangxu Xiao, Zhijun Yin, Dongbai Xue, Yushu Shi, Zhoumiao Shi, Yuying Xie, Xinbin Cheng, Tongbao Li

“…A shortened traceability chain is advantageous for reducing calibration steps, thus reducing errors and raising application efficiency. A novel kind of two-dimensional grating is manufactured by atom lithography, whose pitch and (orthogonal) angle values are directly determined by natural constants, offering a feasible approach for effectively shortening the traceability chain. …”
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Boundary-Aware Transformer for Optic Cup and Disc Segmentation in Fundus Images by Soohyun Wang, Byoungkug Kim, Doo-Seop Eom

“…Additionally, Geometry-aware Loss, which combines the normalized Hausdorff Distance with the Dice Loss, reduces fine-grained boundary errors and improves boundary precision. The proposed model outperforms existing state-of-the-art models across five public datasets—DRIONS-DB, Drishti-GS, REFUGE, G1020, and ORIGA—and achieves Dice scores of 0.9127 on Drishti-GS and 0.9014 on REFUGE for OC segmentation. …”
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Dynamic aggregation method for wind farms for overvoltage protection and accuracy stability enhancement by Zongzheng Wang, Chenlei Liu, Wei Wang, Tong Zhao, Yifan Liu, Zhijuan Wang, Ying Sun, Xiaolong Wang

“…Existing equivalent methods for permanent-magnet synchronous generator (PMSG) wind farms struggle to precisely simulate dynamic characteristics during overvoltage faults and protection triggering, thereby limiting their applicability in transient stability analysis under extreme grid conditions. …”
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Fruit Orchard Canopy Recognition and Extraction of Characteristics Based on Millimeter-Wave Radar by Yinlong Jiang, Jieli Duan, Yang Li, Jiaxiang Yu, Zhou Yang, Xing Xu

“…The average relative errors of crown width, plant height, and volume were 2.1%, 2.3%, and 4.2%, respectively, indicating that the spray had little effect on the extraction of canopy characteristics by millimeter-wave radar, which could inform spray-related decisions for precise applications.…”
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Design, Tuning, and Experimental Validation of Switched Fractional-Order PID Controllers for an Inverted Pendulum System by Matias Fernández-Jorquera, Marco Zepeda-Rabanal, Norelys Aguila-Camacho, Lisbel Bárzaga-Martell

“…Stabilizing inverted pendulum systems remains a challenging and open control problem due to their inherent instability and relevance in a wide range of real-world applications, including robotics and aerospace systems. …”
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The Effects of Different Thawing Procedures on Spermatological Parameters of Frozen Bull Sperm by Emrah Hicazi Aksu, Ece Yaren Kurtuluş, Berat Aktürk

“…Errors made during the thawing process can compromise the motility, viability, morphology and DNA integrity of spermatozoa after thawing. …”
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Novel Approximations to the Multi-Dimensional Fractional Diffusion Models Using the Tantawy Technique and Two Other Transformed Methods by Weaam Alhejaili, Adnan Khan, Amnah S. Al-Johani, Samir A. El-Tantawy

“…Moreover, both the absolute and residual errors for all generated approximations are estimated to demonstrate the high accuracy of all derived approximations. …”
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Hybrid Deterministic Sensing Matrix for Compressed Drone SAR Imaging and Efficient Reconstruction of Subsurface Targets by Hwi-Jeong Jo, Heewoo Lee, Jihoon Choi, Wookyung Lee

“…Compressed sensing (CS) algorithms are widely used to mitigate data storage requirements, yet they often suffer from challenges related to computational burden and detection errors. CS theory exploits signal sparsity and the incoherence of sensing matrices to reconstruct target information from reduced data measurements. …”
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Interpretable Deep Learning Models for Arrhythmia Classification Based on ECG Signals Using PTB-X Dataset by Ahmed E. Mansour Atwa, El-Sayed Atlam, Ali Ahmed, Mohamed Ahmed Atwa, Elsaid Md. Abdelrahim, Ali I. Siam

“…Manual ECG interpretation is labor-intensive and susceptible to errors, highlighting the demand for automated, scalable approaches. …”
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Research on Obtaining Pepper Phenotypic Parameters Based on Improved YOLOX Algorithm by Yukang Huo, Rui-Feng Wang, Chang-Tao Zhao, Pingfan Hu, Haihua Wang

“…Pepper is a vital crop with extensive agricultural and industrial applications. Accurate phenotypic measurement, including plant height and stem diameter, is essential for assessing yield and quality, yet manual measurement is time-consuming and labor-intensive. …”
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VR Co-Lab: A Virtual Reality Platform for Human–Robot Disassembly Training and Synthetic Data Generation by Yashwanth Maddipatla, Sibo Tian, Xiao Liang, Minghui Zheng, Beiwen Li

“…A Long Short-Term Memory (LSTM) model predicts user interactions and robotic motions, optimizing trajectory planning and minimizing errors. Monte Carlo dropout-based uncertainty estimation enhances prediction reliability, ensuring adaptability to dynamic user behavior. …”
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Software-Defined Platform for Global Navigation Satellite System Antenna Array Development and Testing by Diogo Gomes, Diogo Baptista, Hugo Dinis, Paulo M. Mendes, Sérgio Lopes

“…Our experimental results demonstrate that the system can phase shift every channel with errors of less than 0.5° and can reconfigure 4 simultaneous beams of a 16-antenna array at speeds of 1.2 kHz, and 20 beams at around 400 Hz. …”
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Field Validation of the DNDC-Rice Model for Crop Yield, Nitrous Oxide Emissions and Carbon Sequestration in a Soybean System with Rye Cover Crop Management by Qiliang Huang, Nobuko Katayanagi, Masakazu Komatsuzaki, Tamon Fumoto

“…Although the model captured trends in SOC stock, the simulated annual values differed from observations (−9.9% to +10.1%), potentially due to sampling errors. These findings indicate that the DNDC-Rice model requires improvements in its N cycling algorithm and crop growth sub-models to improve predictions for upland systems. …”
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