Rectifying Adversarial Examples Using Their Vulnerabilities by Fumiya Morimoto, Ryuto Morita, Satoshi Ono

“…Deep neural network-based classifiers are prone to errors when processing adversarial examples (AEs). …”
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Improving the accuracy of calculating the speed of movement at the time of an accident in collisions with incomplete overlap of a part of the car by E. V. Golov

“…This mathematical device is applicable to all collisions, but is especially relevant when studying collisions with incomplete overlap of any part of the car body.…”
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Evaluation of multi-source precipitation products for monitoring drought across China by Yongyi Yuan, Boyi Liao

“…Discrepancies are most pronounced in complex terrains such as the Qinghai-Tibet Plateau and southwestern mountains, where sparse observational networks exacerbate errors. Drought indices, including SPEI-3 and SPI-1, were used to measure each product’s effectiveness in detecting drought intensity, frequency, and duration. …”
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Real-Time Gas Path Fault Diagnosis for Aeroengines Based on Enhanced State-Space Modeling and State Tracking by Siyan Cao, Hongfu Zuo, Xincan Zhao, Chunyi Xia

“…The model maintains dynamic trend consistency and steady-state accuracy with errors of 0.482–0.039%. This work shows marked improvements in temporal resolution, diagnostic accuracy, and flight envelope adaptability compared to conventional approaches.…”
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Graph neural network-tracker: a graph neural network-based multi-sensor fusion framework for robust unmanned aerial vehicle tracking by Karim Dabbabi, Tijeni Delleji

“…Unlike traditional tracking approaches, GNN-tracker dynamically constructs a spatiotemporal graph representation, improving identity consistency and reducing tracking errors under OCC-heavy scenarios. Experimental evaluations on optical, thermal, and fused UAV datasets demonstrate the superiority of GNN-tracker (fused) over state-of-the-art methods. …”
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Improving Performance of Uncombined PPP-AR Model with Ambiguity Constraints by Yichen Liu, Urs Hugentobler, Bingbing Duan

“…However, this model faces challenges due to the large number of estimated parameters, resulting in strong correlations between state parameters, such as clock errors, ionospheric delays, and hardware biases. This can slow down the convergence time and impede ambiguity resolution. …”
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Building Diagnostics Options for Existing Buildings – Innovative Methods by Zsolt Szurös, Rita Rebeka Ordog, Kitti Ajtayné Károlyfi, Dóra Szalai, Ádám Bukovics

“…This study presents the analyzing techniques of point clouds to diagnose buildings, assess their condition, identify errors, and develop sustainability strategies. It also explores areas that require further research and development to enhance the effectiveness of these methods. …”
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On-site camera calibration with sub-block of images for UAS Photogrammetry corridor mapping with on-board GNSS-RTK by K. Pitombeira, E. Mitishita, C. Toth, M. de Abreu

“…In contrast, on-the-job calibration with nadir images alone resulted in higher Z-axis errors. These findings suggest that using nadir and oblique sub-blocks for on-site calibration can improve vertical accuracy, reduce reliance on GCPs in corridor mapping, and maintain high spatial accuracy.…”
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GPS/VIO integrated navigation system based on factor graph and fuzzy logic by M. M. Karimi, M. R. Mosavi

“…Moreover, when integrated with the Inertial Navigation System (INS), the GPS/INS system could not provide a long-term solution for outage problems due to its accumulated errors. This article introduces a novel graph-based method that utilizes a dynamically adjustable fuzzy window to improve navigation and positioning accuracy. …”
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A Simple Model of Flood Peak Attenuation by Rodrigo C. D. Paiva, Stefany G. Lima

“…Model's validity and accuracy were demonstrated by reproducing data from (a) numerical solutions of the Saint‐Venant equations covering a wide range of conditions, (b) 29 observations from 11 historical dam‐breaks, (c) 15 observations of natural floods in seven rivers and (d) a detailed hydrodynamic model. The model errors were generally lower than 10% and not larger than the typical uncertainty of flood observations. …”
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Global data for ecology and epidemiology: a novel algorithm for temporal Fourier processing MODIS data. by Jörn P W Scharlemann, David Benz, Simon I Hay, Bethan V Purse, Andrew J Tatem, G R William Wint, David J Rogers

“…Applying standard techniques to MODIS data can introduce errors of up to 30% in the estimation of the amplitudes and phases of the Fourier harmonics.…”
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Neural Dynamics of Strategic Early Predictive Saccade Behavior in Target Arrival Estimation by Ryo Koshizawa, Kazuma Oki, Masaki Takayose

“…<b>Results</b>: No significant group differences were observed in final position or response timing errors. However, time-series analysis showed that the Early SSG achieved earlier and more accurate eye positioning. …”
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Gas Storage Model of Residual Coal Adsorption in Abandoned Mine by San Zhao, Xiangjun Chen, Lin Wang, Lin Li

“…The average relative errors between the predicted and measured values of method 1 and 2 were 2.98% and 7.13%, respectively. …”
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Polynomial Modeling of Noise Figure in Erbium-Doped Fiber Amplifiers by Rocco D’Ingillo, Alberto Castronovo, Stefano Straullu, Vittorio Curri

“…The proposed method is benchmarked against experimental measurements from multiple EDFAs, achieving prediction errors that are within the measurement uncertainty of Optical Spectrum Analyzers (OSAs). …”
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Finite Element Modeling of RC Beams Produced with Low-Strength Concrete and Strengthened for Bending and Shear with CFRP and GFRP by Wael Mansur Hussien Aldhabir, Ali Sarıbıyık, Yusuf Sümer

“…Additionally, construction errors also contribute to reducing the load-bearing capacity of structural elements. …”
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EXPERIMENTAL RESULTS OF SOFTWARE ALGORITHMIC SYNCHRONIZATION OF DISTRIBUTED RADIO SYSTEM WITH MOBILE CARRIERS by I. V. Kryuchkov, M. I. Noniashvili, A. I. Skachkova, A. A. Filatov

“…The experiment showed that RMS of synchronization errors does not exceeded 12 degrees by phase (for VHF), or 0.2 ns by time. …”
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Pupillary responses to masked and gaze-averted faces by Cansu Malak, Cansu Malak, Funda Yildirim

“…However, pupil size was even more strongly modulated by recognition errors, with significantly greater dilation during incorrect trials across all emotions, especially for masked fearful faces, suggesting increased cognitive effort and ambiguity. …”
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Analysis of 5G Smart Communication Base Station Doppler-Smoothed Pseudorange Single-Point Geodesic Positioning Accuracy by Jianmin Wang, Yan Wang

“…A method based on Doppler smoothing pseudorange solves the problem that the original pseudorange observation values of the 5G smart communication base station are noisy and prone to multipath errors due to the limitations of the base station chips and processes, which makes the traditional data processing methods unable to meet the demand for higher accuracy positioning. …”
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Pro-cognitive efficacy of Prospekta in a rat model of age-associated cognitive impairment by Elena Kardash, Nataliya Petrova, Ksenia Ganina, Sergey Tarasov, Oleg Epstein

“…Clinical trial number Not applicable.…”
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Pulse‐Level Quantum Robust Control with Diffusion‐Based Reinforcement Learning by Yuanjing Zhang, Tao Shang, Chenyi Zhang, Xueyi Guo

“…In large‐scale experiments with repeated gate operations, PQC‐DBRL demonstrates significantly higher resilience to cumulative errors, maintaining fidelity advantages even after 200 gate repetitions. …”
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