Dynamic order selection analysis in adaptive polynomial Kalman filtering: implementation and integration of sensor data and hybrid image processing for bio-inspired needle systems by Dileep Sivaraman, Branesh M. Pillai, Cholatip Wiratkapun, Jackrit Suthakorn, Songpol Ongwattanakul

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An investigation into the biomechanical effects of tibial vertical cutting errors on the proximal tibia after unicompartmental knee arthroplasty and the improvement of cutting plan... by Deyan Ou, Gaoyong Deng, Gaosheng Qin, Yongqing Ye, Jingwei Pan, Yu Huang, Haisheng Kuang, Shilin Tang, Yongxin Mo, Shixin Pan

“…Methods In this study, a three-dimensional model of the tibia was constructed from CT and MRI data of a 26-year-old male volunteer. Finite element analysis (FEA) was used to simulate different vertical cutting errors (1 mm, 3 mm, 5 mm, 7 mm, and 9 mm). …”
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Dilemma of Responsibility-Sensitive Safety in Longitudinal Mixed Autonomous Vehicles Flow: A Human-Driver-Error-Tolerant Driving Strategy by Hongsheng Qi

“…The manuscript derives the risk reduction and capacity variation resulting from the implementation of this strategy at a given market penetration rate (MPR) using real world trajectory data. The analysis indicates that a 50% MPR would reduce risks due to human error by 80%, with a decrease in capacity which vary different for background traffic flow speed.…”
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An optimized public opinion communication system in social media networks based on K-means cluster analysis by Mingchao Qi, JunQiang Zhao, Yan Feng

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PACE Technique to Error Categories: Its Effectiveness in Improving Word Problem Performance in Mathematics among the 7th Grade Students by Roghene A. Coloma, Florante P. Ibarra, Amirul Mukminin, Lenny Marzulina, Herri Mulyono, Kasinyo Harto

“…The test was administered to 38 students before and after the implementation of the PACE technique. The data collected were treated using frequency counts, means, rates, Newman’s error analysis tool and t-test for dependent means. …”
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Determinants of crash injury severity for delivery riders: Insights from an error components mixed logit model with heterogeneous means and variances by Thanapong Champahom, Chamroeun Se, Wimon Laphrom, Sajjakaj Jomnonkwao, Rattanaporn Kasemsri, Vatanavongs Ratanavaraha

“…The study employs a Heteroscedastic Error Components Mixed Logit with Heterogeneity in Means (HECMLHM) model to capture unobserved heterogeneity and complex interactions between variables. …”
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Prevalence of Refractive Error in School Children in Suining City of Sichuan Province, China: A School-Based Cross-Sectional Study by Linglin Liu, Heng Li, Zhijin Tang, Zaihong Huang, Xu Yang

“…To investigate the prevalence of refractive errors among school children in Suining City, Sichuan Province, and to provide a scientific basis for prevention and control of myopia. …”
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Model-Free Adaptive Fast Integral Terminal Sliding Mode Control for Permanent Magnet Synchronous Motor with Position Error Constraint by Xingyu Qu, Shuang Zhang, Chengkun Peng

“…Meanwhile, an improved prescribed performance function and error transformation function are designed, and a fast integral terminal sliding surface is constructed along with a discrete approach law that adaptively adjusts the switching gain. …”
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Detection of Multiple Small Biased GPS Spoofing Attacks on Autonomous Vehicles Using Time Series Analysis by Ahmad Mohammadi, Reza Ahmari, Vahid Hemmati, Frederick Owusu-Ambrose, Mahmoud Nabil Mahmoud, Parham Kebria, Abdollah Homaifar

“…This detection is facilitated through time series analysis at 25 and 50 s intervals to build a profile of data errors and distribution to predict the probability of such attacks. …”
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InSAR Detection of Slow Ground Deformation: Taking Advantage of Sentinel-1 Time Series Length in Reducing Error Sources by Machel Higgins, Shimon Wdowinski

“…While analytical methods, weather models, and data exist to mitigate tropospheric error, most of these techniques are unsuitable for all InSAR applications (e.g., complex tropospheric mixing in the tropics) or are deficient in spatial or temporal resolution. …”
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Identification and Correction of Phase Unwrapping Errors in Multitemporal Small Baseline DInSAR Interferograms: A Three-Step Cascade Algorithm by Giovanni Onorato, Claudio De Luca, Francesco Casu, Michele Manunta, Muhammad Yasir, Pasquale Noli, Pasquale Striano, Riccardo Lanari

“…To evaluate the performance of the proposed algorithm, we carry out a comparative analysis between the corrected and uncorrected results, obtained from simulated data relevant to different deformation regimes and a Sentinel-1 SAR dataset relevant to descending orbits over the Mt. …”
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Enhancing Stock Price Forecasting With a Hybrid SES-DA-BiLSTM-BO Model: Superior Accuracy in High-Frequency Financial Data Analysis by Talabathula Jayanth, A. Manimaran, G. Siva

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Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks by Hussein A. M. Hussein, Sharafiz B. Abdul Rahim, Faizal B. Mustapha, Prajindra S. Krishnan, Nawal Aswan B. Abdul Jalil

“…The data underwent preprocessing, including the application of principal component analysis (PCA) for feature selection. …”
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Diameter at Breast Height (DBH) Estimation and Stem Cross-Section Shape Analysis of Eucalyptus Trees Using LiDAR Data after Noisy Removal by Matheus Ferreira da Silva, Renato Cesar dos Santos, Antonio Maria Garcia Tommaselli, Mauricio Galo

“…Based on the proposed method, the DBH estimated from TLS data showed Root Mean Square Error (RMSE) of 0.7 cm for trees with a cross-section considered as circular and a RMSE of 3.7 cm for cross-sections considered as non-circular. …”
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Development of a Novel Automated Workflow in Fiji ImageJ for Batch Analysis of Confocal Imaging Data to Quantify Protein Colocalization Using Manders Coefficient by Vikram Aditya, Vishakha Tambe, Wei Yue

“…Manually processing large numbers of imaging data for colocalization analysis is prone to observer bias and inefficiencies. …”
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Analysis of fault detection and defect categorization in photovoltaic inverters for enhanced reliability and efficiency in large-scale solar energy systems by Malik Stephanie, Daßler David, Patel Dharm, Klute Carola, Klengel Robert, Dietrich Andreas, Kaufmann Kai, Hennig Carsten, Wehnert Danny, Ebert Matthias

“…In parallel, an impact analysis was carried out based on historical monitoring data, that identified a faulty control behaviour of the inverter during curtailment. …”
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Prediction of permeability and porosity from well log data using the nonparametric regression with multivariate analysis and neural network, Hassi R’Mel Field, Algeria by Baouche Rafik, Baddari Kamel

“…An examination of the error rates associated with discriminant analysis for uncored wells indicates that data classification based on electrofacies characterization is more robust compared to other approaches. …”
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Sensitivity Analysis of Long Short-Term Memory-Based Neural Network Model for Vehicle Yaw Rate Prediction by János Kontos, László Bódis, Ágnes Vathy-Fogarassy

“…Our research aimed to determine the minimum amount of data required for effective model training and to conduct a comprehensive sensitivity analysis, examining the performance and applicability of the trained model under varying tire pressures, different passenger loads, and different passenger configurations. …”
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FDRL: a data-driven algorithm for forecasting subsidence velocities in Himalayas using conventional and traditional soil features by Sahil Sankhyan, Ajoy Kumar, Praveen Kumar, Aaditya Sharma, K. V. Uday, Varun Dutt

“…Traditional subsidence velocity forecasting models, however, typically rely on either satellite remote sensing data or geotechnical parameters in isolation, which limits their predictive power and applicability. …”
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Associations of maternal dietary inflammatory potential and quality with offspring birth outcomes: An individual participant data pooled analysis of 7 European cohorts in the ALPHA... by Ling-Wei Chen, Adrien M Aubert, Nitin Shivappa, Jonathan Y Bernard, Sara M Mensink-Bout, Aisling A Geraghty, John Mehegan, Matthew Suderman, Kinga Polanska, Wojciech Hanke, Elzbieta Trafalska, Caroline L Relton, Sarah R Crozier, Nicholas C Harvey, Cyrus Cooper, Liesbeth Duijts, Barbara Heude, James R Hébert, Fionnuala M McAuliffe, Cecily C Kelleher, Catherine M Phillips

“…Limitations of this study were that self-reported dietary data might have increased nondifferential measurement error and that causality cannot be claimed definitely with observational design.…”
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