Exploring the potential of deep learning models integrating transformer and LSTM in predicting blood glucose levels for T1D patients by Xin Xiong, XinLiang Yang, Yunying Cai, Yuxin Xue, JianFeng He, Heng Su

“…The model's performance is validated using real-world clinical data and error grid analysis. Results On clinical data, the model achieved root mean square error/mean absolute error of 10.157/6.377 (30-min), 10.645/6.417 (60-min), 13.537/7.283 (90-min), and 13.986/6.986 (120-min). …”
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Influence of Turbulence Models on Simulated Flow Characteristics Over Ogee Spillways by Mangur Rasul Khidhir, Kaywan Othman Ahmed, Jamil Bahrami, Mohsen Isari, Marif Mahmood Karim

“…Error analysis reveals closely aligned results, comparing experimental data with Ansys simulations across various turbulence models for seven sensors. …”
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A Hybrid VMD-BO-GRU Method for Landslide Displacement Prediction in the High-Mountain Canyon Area of China by Bao Liu, Jiahuan Xu, Jiangbo Xi, Chaoying Zhao, Xiaosong Feng, Chaofeng Ren, Haixing Shang

“…The overall displacement is computed by summing the trend and periodic terms series using the Mianshawan landslide as a case study, experimental studies were conducted with landslide data from January 2019 to December 2022 with a Root Mean Squared Error (RMSE) of 0.402, Mean Absolute Error (MAE) of 0.187, Mean Absolute Percentage Error (MAPE) of 2.05%, and a coefficient of determination (R²) of 0.998. …”
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ANALISIS TIPE KESALAHAN BERDASARKAN TEORI NEWMAN DALAM MENYELESAIKAN SOAL CERITA PADA MATA KULIAH MATEMATIKA DISKRIT by Dwi Oktaviana

“…The instrument of this research was the test items analized by Newman error category and interviews. Based on the results of data analysis it can be concluded that (1) 24% of reading errors were in form of not knowing the meaning, (2) 24%…”
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A neural network approach to carbon emission prediction in industrial and power sectors by Syed Azeem Inam, Syed Muhammad Hassan Zaidi, Abdullah Ayub Khan, Sajid Ullah

“…The model proposed in the present study achieves a Mean Squared Error (MSE) of 79.6%, a Root Mean Squared Error (RMSE) of 89.2%, and a Mean Absolute Error (MAE) of 75.8%, ensuring a reliable prognosis accuracy. …”
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Prediction of Rice Yields in a Changing Climate Using the Mobile Rice Yield Prediction Application by Mohamad Farhan Mohamad Mohsin, Mohamad Ghozali Hassan, Kamal Imran Mohd Sharif, Mohd Azril Ismail, Liew Jun Hong, Muhammad Khalifa Umana, Hairazi Rahim@Abdul Rahim

“…A 10-year dataset from the Malaysian Meteorological Department (MetMalaysia) and the Department of Statistics Malaysia (DOA) were trained and tested on varying data splits and then evaluated using performance metrics such as R-squared, Mean Absolute Error, Mean Square Error, and Root Mean Square Error. …”
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Modified SLAM for Agricultural Robot Navigation by N. V. Gapon, V. V. Voronin, D. V. Rudoy, M. M. Zhdanova

“…Quantitative analysis of Absolute Trajectory Error (ATE) and mean RMSE was conducted both before and after applying the depth map reconstruction. …”
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Optimizing concrete strength: How nanomaterials and AI redefine mix design by Dan Huang, Guangshuai Han, Ziyang Tang

“…However, the complex interactions between nanomaterials, SCMs, and cement make concrete mix design a challenging, iterative, and labor-intensive process, often relying on trial-and-error experimentation. Machine learning (ML) offers an opportunity to better understand the influence of input parameters and to accelerate the optimization of mix designs through data-driven insights. …”
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Improved Neutral Density Predictions Through Machine Learning Enabled Exospheric Temperature Model by Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, W. Kent Tobiska

“…Abstract The community has leveraged satellite accelerometer data sets in previous years to estimate neutral mass density and exospheric temperatures. …”
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Problems in verb conjugation in Spanish among Malaysian Chinese students: A case study by Edison Mejia Vasquez

“…A distinction is made between "error" and "mistake" and how both terms are interrelated and apply to the data studied. …”
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Problems in verb conjugation in Spanish among Malaysian Chinese students: A case study by Edison Mejia Vasquez

“…A distinction is made between "error" and "mistake" and how both terms are interrelated and apply to the data studied. …”
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Design and application of a music recommendation system based on user behavior and feature recognition by Ji Lu, Minjun Wu

“…Currently, music recommendation systems have significant limitations in user behavior analysis, resulting in lower accuracy in recommendations. …”
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Optimal Model-Free Mean-Square Consensus for Multi-Agents with Markov Switching Topology by Ruoxun Ma, Lipo Mo, Bokang Zhou

“…The theoretical analysis shows that the consensus error realizes mean-square consensus and the performance function is optimized. …”
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Problems in verb conjugation in Spanish among Malaysian Chinese students: A case study by Edison Mejia Vasquez

“…A distinction is made between "error" and "mistake" and how both terms are interrelated and apply to the data studied. …”
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Machine learning-based technique for directivity prediction of a compact and highly efficient 4-port MIMO antenna for 5G millimeter wave applications by Md Ashraful Haque, Kamal Hossain Nahin, Jamal Hossain Nirob, Md Kawsar Ahmed, Narinderjit Singh Sawaran Singh, Liton Chandra Paul, Abeer D. Algarni, Mohammed ElAffendi, Abdelhamied A. Ateya

“…The effectiveness of machine learning (ML) models can be estimated using a variety of different metrics, including the variance score, R square, mean square error (MSE), mean absolute error (MAE), and root mean square error (RMSE). …”
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Analisis Pengalaman Pengguna Game Visual Novel Asal Usul Kota Surabaya Menggunakan Metode Usability Testing by Ashafidz Fauzan Dianta, Artiarini Kusuma Nurindiyani, Zakha Maisat Eka Darmawan

“…Several stages in this study include data collection, usability testing, data analysis, and conclusion. …”
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Design of an Underwater Robot System for Detecting Defects in Hydraulic Structures at Hydropower Stations by ZHANG Yi, ZHU Jun, YUAN Qingqing, WENG Yewei, PENG Shidong, SHEN Weige

“…Furthermore, independently developed post-processing software is used to consolidate data from acousto-optic-electric sensors, ensuring identification of defects, measurement, and estimation of repair material quantities, the theoretical error of software recognition is 7.4%, which is less than the 20% error rate required by the project. …”
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Landslide Forecasting Model Based on PCA and Improved CS-RBF by WANG Lianxia, LI Limin, FANG Zihao, REN Ruibin, FU Zhentao, CUI Chengtao

“…Various models including back propagation (BP), RBF, genetic algorithm-RBF (GA-RBF), CS-RBF, and others are compared with the improved CS-RBF model through experimental analysis. The results show that the predictive performance of the CS-RBF model is superior to the other models, with a root mean square error of 0.017 56 and an average absolute error of 0.011 78. …”
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Calculation of Correction Factors for Vickers’ Hardness Measurements on a Non-Planar Surface by S. G. Sandomirski, A. L. Val’ko, S. P. Rudenko

“…The aim of the work was to simplify the calculation of correction factors K for Vickers hardness measurements on non-planar surfaces and to reduce the calculation error compared to the methodology governed by the regulations.The method presented is based on a statistical analysis of K coefficients, presented in regulatory documents for cases considered in the form of tables. …”
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Development and Evaluation of Learning Portfolio Query System Based on LangChain Framework by Nien-Lin Hsueh, Wei-Ting Wang

“…The accuracy in converting natural language to SQL was estimated, and error type analysis was conducted to enhance the system’s performance and accuracy. …”
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