The analysis of transformer end-to-end model in Real-time interactive scene based on speech recognition technology by Ping Li, Can Yang, Lei Mao

“…On the two kinds of datasets, the word error rate is as low as 4.3%, and the accuracy rate is over 91%. …”
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Wheat policy, wheat yield and production in Ethiopia by Zewdie Habte Shikur

“…The purpose of this study was to evaluate the effects of wheat policy, and wheat processing industrial policy on wheat yield and production using Vector Error Correction (VEC) and Tobit models. The comparative use of both Tobit and vector error correction models enables useful critiques of the applicability of both models. …”
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Intelligent library shelf management system for open-access environments: A CNN-based approach with enhanced image recognition and disorder detection by Xueqi Zhang

“…The accuracy increased by 2.11% and 4.76%, the root mean square error decreased by 0.12 and 0.21, and the average percentage error decreased by 0.14 and 0.28, respectively. …”
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EFL STUDENTS’ PERSPECTIVES ON THE USE OF SMALLTALK2ME TO ENHANCE SPEAKING SKILLS: A STUDY OF UNDERGRADUATE LEARNERS by Fadlan Rambe, Ernita Daulay

“…The findings indicated that SmallTalk2Me and similar AI-based applications were perceived as effective scaffolding agents, providing structured speaking practice, immediate feedback, and a supportive environment for trial and error. …”
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NUMERICAL SIMULATION OF ELECTRICAL IMPEDANCE TOMOGRAPHY PROBLEM AND STUDY OF APPROACH BASED ON FINITE VOLUME METHOD by Ye. S. Sherina, A. V. Starchenko

“…Static EIT image reconstruction is sensitive to a measurement noise and approximation error. A special consideration has been given to reducing of the approximation error, which originates from numerical implementation drawbacks. …”
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Accurate Terrain Modeling After Dark: Evaluating Nighttime Thermal UAV-Derived DSMs by Nizar Polat, Abdulkadir Memduhoğlu, Yunus Kaya

“…Statistical analysis of four independent checkpoints yielded a root mean square error (RMSE) of 0.0522 m, a mean error (ME) of −0.052 m, and a standard deviation (SD) of 0.0054 m, indicating high vertical accuracy with minimal scatter around the systematic bias. …”
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Analytical Solutions for Groundwater Response to Earth Tides in Thick Semiconfined Aquifers by Xunfeng Lu, Kozo Sato, Roland N. Horne

“…Furthermore, a nondimensional number, named hydraulic Biot number, was derived mathematically, which forms the basis for a quantitative criterion to assess the applicability of existing solutions. In the case of a vertical well, the existing solution exhibits acceptable error only if the hydraulic Biot number is less than 0.245. …”
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Theoretical and numerical study of profit in agricultural sector model using wavelet method by Yeshwanth R., Kumbinarasaiah S.

“…Numerical results are obtained from a mathematical and financial perspective using the model parameters for model validation. Additionally, the error and convergence analysis of the Chebyshev wavelets has been presented to assess the applicability of the proposed approach. …”
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Wind speed and power forecasting using Bayesian optimized machine learning models in Gabal Al-Zayt, Egypt by Nehal Elshaboury, Haytham Elmousalami

“…The accuracy of various machine learning models is compared using several evaluation metrics, such as Pearson’s correlation coefficient (R), explained variance (EV), mean absolute percentage error (MAPE), mean square error (MSE), and concordance correlation coefficient (CCC). …”
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Nonlinear prediction model of vehicle network traffic management based on the internet of things by Zhijie Peng, Lili Yin

“…The predictive accuracy in terms of Mean Squared Error (0.0842), Mean Absolute Error (0.0623) and the R² score (0.9187) was better on average for 35 strategic urban sites at 6 months. …”
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Predictive modeling of ultimate tensile strength in dissimilar friction stir welded aluminum alloys via machine learning approach by Meghavath Mothilal, Atul Kumar

“…The models were evaluated for their prediction accuracy and reliability using mean absolute error (MAE), mean square error (MSE) and R2 score metrics. …”
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Identification of Flow Ｒegimes Based on Adaptive Learning and Additional Momentum BP Neural Network for Electrical Capacitance Tomography by WANG Li-li, LIU Hong-bo, CHEN De-yun, FENG Qi-shuai

“…It is applied to the simple problems in industrial applications，but there are many defects in solving complex industrial problems. …”
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Design and Simulation of Detection Algorithm for QRS Wave of ECG Signal by WANG Hai-ying, WANG Yuan-yuan, YAO Zhi-lin

“…The experimental results show that the method is simple, effective, accurate and suitable for practical applications.…”
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Euler Operational Matrix of Integration and Collocation Method for Solving Functional Integral Equations by Sohrab Bazm, Fatemeh Pahlevani

“…One significant advantage of this method lies in its ability to avoid the need for direct integration to discretize the integral operator. Error estimates are provided and two illustrative examples are included to demonstrate the method’s effectiveness and practical applicability.…”
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On the Q-Convergence and Dynamics of a Modified Weierstrass Method for the Simultaneous Extraction of Polynomial Zeros by Plamena I. Marcheva, Ivan K. Ivanov, Stoil I. Ivanov

“…In the present paper, we prove a new local convergence theorem with initial conditions and error estimates that ensure the Q-quadratic convergence of a modification of the famous Weierstrass method. …”
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Slave System Dimension Expansion Approach for Robust Synchronization of Chaotic Systems with Unknown Phase Difference by Huanhuan Mai, Weiwei Zhang, Yapeng Zhao

“…However, unknown parameter error value has always existed in real problems. …”
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Bayesian and Non-Bayesian Estimation Methods for Simulating the Parameter of the Akshaya Distribution by Ahlam. H. Tolba

“…Finally, the applicability and utility of the proposed distribution is elaborated using simulation study. …”
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Novel Node Localization Algorithm Based on Nonlinear Weighting Least Square for Wireless Sensor Networks by Fu Xiao, Mingtan Wu, Haiping Huang, Ruchuan Wang, Sudan Wang

“…Positioning of the location information of wireless sensor network nodes is one of the key issues in wireless sensor network applications. The traditional node positioning method based on least-square algorithm heavily depends on the ranging accuracy, and therefore cannot guarantee high precision. …”
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Optimization of a Dense Mapping Algorithm with Enhanced Point-Line Features for Open-Pit Mining Environments by Yuanbin Xiao, Bing Li, Wubin Xu, Weixin Zhou, Bo Xu, Hanwen Zhang

“…The experimental results using the TUM dataset and conducting tests in a simulated open-pit mining environment show that the proposed algorithm reduces the absolute trajectory error by 44.33% and the relative trajectory error by 14.34% compared to the ORB-SLAM3. …”
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An efficient cost calculation method for disparity estimation of stereo matching considering shadow occlusion by Hongjun Sha, Wei Yuan, Xunping Wang, Xiuliu Yuan, Shunichi Koshimura

“…This research work proposes a novel cost calculation method that considers shadow occlusion areas to address the issues of poor disparity estimation in urban areas, termed Matching Cost based on Shadow Properties (MCSP), error estimation of the shadow occlusion area, which not only considers the problem of disparity error estimation in the shadow occlusion areas but also considers the problem of edge integrity and smoothness in the disparity estimation results. …”
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