Cointegration Analysis of the Interaction Between Changes in the Exchange Rates of the Us Dollar and Azerbaijani Manat With the Turkish Lira by N. G. Burjaliyeva

“…The study employs contemporary econometric methodologies, encompassing the Johansen cointegration test, Granger causality test, vector error correction, and other pertinent approaches.Results. …”
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Automated generation of an urban synthetic elevation checkpoint network across the North Carolina coastline, USA by Alexander Seymour, Christine Kranenburg, Kara Doran

“…Lidar and structure from motion-derived digital elevation and surface models have widespread application. Consideration of a topographic model's vertical root mean squared error (RMSEz) and systematic directional bias is important for many of these applications, particularly landscape change detection and measurement. …”
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Winter Wheat Yield Prediction and Influencing Factors Analysis Based on FourierGNN–Random Forest Combined Modeling by Jianqin Ma, Yijian Chen, Bifeng Cui, Yu Ding, Xiuping Hao, Yan Zhao, Junsheng Li, Xianrui Su

“…The predicted outputs ranged from 520 to 720 g/m², with an average error of 2.69% compared to the actual measure outputs. …”
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Online Identification of Differential Order in Supercapacitor Fractional-Order Models: Advancing Practical Implementation by Arsalan Rasoolzadeh, Sayed Amir Hashemi, Majid Pahlevani

“…The proposed method significantly shortens the long window while maintaining accuracy, making it feasible for implementation in low-cost microcontrollers and a viable solution for real-world applications. In addition, the proposed method addresses the drift error by applying online least squares error estimation that aligns it with its offline estimated value.…”
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Optimization-Driven Reconstruction of 3D Space Curves from Two Views Using NURBS by Musrrat Ali, Deepika Saini, Sanoj Kumar, Abdul Rahaman Wahab Sait

“…However, achieving high fitting accuracy in stereo-based applications remains challenging, primarily due to the nonlinear nature of weight optimization. …”
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Reduction of Mutual Coupling in UWB/MIMO Antenna Using Stub Loading Technique by Jabire Adamu Halilu, Abdu Anas, Saminu Sani, Salisu Sani, Sadiq Abubakar Muhammad, Jajere Adamu Mohammed, Ahmed Yusuf Kola

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Research on Wireless Passive Ultrasonic Thickness Measurement Technology Based on Pulse Compression Method by Long Pan, Kunsan Shi, Lei Han, Dingrong Qu, Yanling Zhang, Wenwu Chen

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Dimensional Accuracy Assessment of Medical Anatomical Models Produced by Hospital-Based Fused Deposition Modeling 3D Printer by Kevin Wendo, Catherine Behets, Olivier Barbier, Benoit Herman, Thomas Schubert, Benoit Raucent, Raphael Olszewski

“…These values fall within the recommended range of errors. A high level of dimensional accuracy of the 3D-printed anatomical models was achieved, suggesting their reliability and suitability for medical applications.…”
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A comparative study to assess synchronisation methods for combined simultaneous EEG and TMS acquisition by Isabela M. Miziara, Nicholas Fallon, Andrew Marshall, Heba Lakany

“…All paradigms achieved low latency and timing error values within acceptable limits for EEG applications, affirming their viability. …”
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Chaotic dynamics analysis and digital hardware design of the Izhikevich neuron model by Mehdi Nadiri Andabili, Soheila Nazari, Tohid Moosazadeh

“…Therefore, the suggested hardware, whose features include low error rates, acceptable power consumption, and frequency capabilities, exhibits efficiency and impact in a variety of applications, such as modeling learning processes in the nervous system that are based on nonlinear and chaotic behaviors.…”
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Deep learning-based single-shot computational spectrometer using multilayer thin films by David S. Bhatti, Jioh Lee, Cheolsun Kim, Youngin Choi, Hoon Hahn Yoon, Heung-No Lee

“…We reconstructed 323 test spectra, achieving an average root mean squared error of 0.0288 over a wavelength range from 500 to 850 nm with a 1 nm spacing. …”
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Confident Learning-Based Label Correction for Retinal Image Segmentation by Tanatorn Pethmunee, Supaporn Kansomkeat, Patama Bhurayanontachai, Sathit Intajag

“…<b>Background/Objectives:</b> In automatic medical image analysis, particularly for diabetic retinopathy, the accuracy of labeled data is crucial, as label noise can significantly complicate the analysis and lead to diagnostic errors. To tackle the issue of label noise in retinal image segmentation, an innovative label correction framework is introduced that combines Confident Learning (CL) with a human-in-the-loop re-annotation process to meticulously detect and rectify pixel-level labeling inaccuracies. …”
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Using Cognitive Interviewing to Test Youth Survey and Interview Items in Evaluation: A Case Example by Elisa LaPietra, Jennifer Brown Urban, Miriam R. Linver

“…Findings: As a result of using cognitive interviewing to pretest survey and interview items with youth, response errors were identified. Participants did not understand some of the items and response options as intended, indicating problems with validity. …”
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KT-SRAF-LVD-Based Signal Coherent Integration Method for High-Speed Target Detecting in Airborne Radar by Wenwen Xu, Yuhang Wang, Jianyin Cao, Hao Wang

“…Previously reported airborne coherent integration methods are hindered by high computational complexity, limiting their practical application. Therefore, developing motion error compensation and coherent integration methods with reduced computational complexity and a high detection performance is of critical importance. …”
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On the Mathematical Modeling of a Fire Thermogasodynamic Pattern and Using a Priory Calculation of Fire Hazard Factors in Forensic Fire Examination by I. S. Taubkin

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High-Speed Wireline Links&#x2014;Part II: Optimization and Performance Assessment by Hossein Shakiba, Davide Tonietto, Ali Sheikholeslami

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Smart Helmet Based on Microcontroller for Motorcyclists by Rehan Prananda Asri, Juli Sardi

“…However, the use of motorcycles has its own risks and problems such as the high number of motorcycle accidents. Human error is one of these factors, for example not paying attention to the distance with the vehicle in front and using a smartphone while driving. …”
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Analysis of formulas for numerical differentiation of functions with large gradients on a Bakhvalov mesh by N.A. Zadorin

“…It is known that the application of the classical polynomial formulas of numerical differentiation to such a function in the case of a uniform mesh can lead to unacceptable errors. …”
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Flatness pattern recognition of ultra-wide tandem cold rolling mill by BAO Ren-ren, ZHANG Jie, LI Hong-bo, JIA Sheng-hui, LIU Hai-jun, XIAO Sheng

“…The results show that the main flatness error of the strip produced by the ultra-wide mill is "OS cubic waves" considering the cubic flatness pattern,and "quarter waves" without the cubic pattern; the main flatness error of the strip produced by the common wide mill is "central waves" whether considering the cubic flatness pattern or not,therefore the necessity of introducing cubic flatness pattern for the new recognition model is verified. …”
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IMPLEMENTATION OF THE BIDIRECTIONAL GATED RECURRENT UNIT ALGORITHM ON CONSUMER PRICE INDEX DATA IN INDONESIA by Andjani Ayu Cahaya Tanjung, Dewi Retno Sari Saputro, Nughthoh Arfawi Kurdhi

“…Before the data is processed, a sliding window process is carried out by dividing the data into segments to reduce the error value. The window size value used is 10. In the sliding window process, the number of segments is 194 data segments. …”
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