Application of Vehicle Mounted Accelerometers to Measure Pavement Roughness by Yuchuan Du, Chenglong Liu, Difei Wu, Siyu Li

“…The proposed system can obtain vehicles status and location data via wireless acceleration sensors and GPS, calculate the international roughness index (IRI) by power spectral density analysis, and provide reports automatically. …”
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Evaluation of statistical methods applied in theses and dissertations in an Open, Distance and e-Learning University. by Legesse Kassa Debusho, Mahlageng Retang Mashabela, Phuti Naphtaly Sebatjane, Sthembile Sithole, Busisiwe Tabo, Eeva-Maria Rapoo

“…At least one blatant methodological error was found in 41.0% of theses and dissertations, either in the data collection process or in the data analysis. …”
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Keypoint localization and parameter measurement in ultrasound biomicroscopy anterior segment images based on deep learning by Miao Qinghao, Zhou Sheng, Yang Jun, Wang Xiaochun, Zhang Min

“…In addition, parameter error analysis and Bland–Altman plots demonstrated improved agreement with clinical gold standards after segmentation. …”
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Watershed Health Prediction based on Surface Water Quality Variables (Case Study: Taleghan Watershed) by Payam Ebrahimi, Ali Salajegheh, Mohsen Mohseni Saravi, Arash Malekian, Amir Sadoddin

“…Data for years (1990-2006), (2007-2014), (2015-2016) were considered as training, test and error data respectively, and at least one year (from September 2016 until September 2017) as predictive data fitted using an algorithm with R2 0.87 and RMSE 3.003. …”
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Combining Terrestrial Laser Scanning and Drone-Based Photogrammetry towards Improving Volume Calculations in Construction Projects by Sharafaddin Th. Muhammed, Fanar M. Abed

“…In contrast, Stonex X300 TLS device was used for laser data collection, while 3D Re-constructor software was used for data processing and analysis. …”
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Controlling of violations of the basic assumptions of the recurrent assessment model of long-term noise indicators by Wojciech BATKO, Renata BAL

“…The tracking signal method referred to the tested errors of the assumed model was applied. The ratio of the sum of model errors in relation to the average absolute error, generated by the assumed approximation, was selected as the representative of the tracking signal. …”
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The Artificial Bee Colony (ABC) Algorithm for Estimating Parameter of Epidemic Influenza Model by Agus Suryanto, Syaiful Anam

“…The best parameter chosen from the ABC process matched the dynamical behavior of the influenza epidemic field data used. Graphical analysis was used to validate the model. …”
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Research on Forecasting Methods of Agricultural Products Consumption Behavior Based on Unsupervised Learning by Hui Yang, Tian Yang, Xiangxin Ma, Jia Lin

“…Through statistical analysis of data, it can be known that the prediction method of agricultural consumption behavior based on unsupervised learning has a certain effect.…”
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Research on MRD Parametric Model Based on Magic Formula by Wei Pan, Zhengtao Yan, Jingjun Lou, Shijian Zhu

“…The fitting and experimental data of MFM and the phenomenon model under different conditions are applied for error analysis and comparison. …”
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The Effect of Inflation and Efficiency on Performance Indonesian Sharia Commercial Bank by Ani Setyawati, Haqiqi Rafsanjani, Luluk Latifah

“…The analysis method used is the Vector Error Correction Model (VECM) to identify short-term and long-term relationships between variables. …”
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Optimizing document management and retrieval with multimodal transformers and knowledge graphs. by Yali Chen, Bin Hu, Yajuan Liu

“…Ablation experiments also confirm the indispensability of each module. Visual analysis further demonstrates the model's clear advantages in retrieval accuracy and efficiency, though error analysis reveals its shortcomings in handling long-tail entities and cross-modal ambiguity. …”
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Explainable Ensemble Learning Model for Residual Strength Forecasting of Defective Pipelines by Hongbo Liu, Xiangzhao Meng

“…The model’s prediction performance is evaluated using mainstream metrics such as the Mean Absolute Percentage Error (MAPE), Coefficient of Determination (R²), Root Mean Square Error (RMSE), robustness analysis, overfitting analysis, and grey relational analysis. …”
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Transformer-based Approach for Accurate Asteroid Spectra Taxonomy and Albedo Estimation by Yijun Tang, Yunxiao Jiang, Yuxiang Feng, Xiaoming Zhang, Xiaojun Jiang

“…Our research focuses on high-precision intelligent inversion of complex physical properties of asteroids based on spectral data, providing support for further analysis of asteroid materials, density, and structure. …”
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Comparing the Performance of Regression and Machine Learning Models in Predicting the Usable Area of Houses with Multi-Pitched Roofs by Leszek Dawid, Anna Marta Barańska, Paweł Baran

“…In Poland, valuers have to base their analysis on data from the Real Estate Price Register (RCN) in order to value a property. …”
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Improving early prediction of crop yield in Spanish olive groves using satellite imagery and machine learning. by M Isabel Ramos, Juan J Cubillas, Ruth M Córdoba, Lidia M Ortega

“…The methodology uses Machine Learning algorithms together with an exhaustive analysis of predictor variables. Temporal data come from public web services, such as spatial data infrastructures of some state agencies. …”
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Prediction and optimization of robot processing technology based on neural network and genetic algorithm by Fusen WU

“…Subsequently, a three-layer grinding force prediction model based on a BP neural network was established, and linear regression analysis was conducted using the orthogonal experimental data as samples to compare the predicted values with the experimental values. …”
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Robust Event-Triggered Energy-to-Peak Filtering for Polytopic Uncertain Systems over Lossy Network with Quantized Measurements by Jidong Wang, Kezhen Han

“…The event-triggered energy-to-peak filtering for polytopic discrete-time linear systems is studied with the consideration of lossy network and quantization error. Because of the communication imperfections from the packet dropout of lossy link, the event-triggered condition used to determine the data release instant at the event generator (EG) can not be directly applied to update the filter input at the zero order holder (ZOH) when performing filter performance analysis and synthesis. …”
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Validation of a Model Estimating the Budget Impact of Video Capsule Endoscopy for Surveillance of Crohn’s Disease in an Italian Center by Rhodri Saunders, Carlo Calabrese, Dania Gelli, Jason Davis, Rafael Torrejon Torres

“…Even where trend data diverged (eg, for surgery \[43.1% likelihood of acceptance, 95% CI: 33.7%-52.8%\]), the cumulative surgery count over 5 years was within the margin of error of the real-world data…”
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POS Tagging and Lemmatization of Historical Varieties of Languages. The Challenge of Old Italian by Manuel Favaro, Marco Biffi, Simonetta Montemagni

“…In both cases, a detailed error analysis is provided.…”
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Performance of modified multiple access scheme for DCSK by ZHOU Yi-gang1, SHI Ying1

“…In the modified scheme,to reduce excessive interference,the reference samples occupied the different slots for different users,but the data samples occupied the same slots for all users. …”
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