Comparative Study of Machine Learning Techniques for Predicting UCS Values Using Basic Soil Index Parameters in Pavement Construction by Mudhaffer Alqudah, Haitham Saleh, Hakan Yasarer, Ahmed Al-Ostaz, Yacoub Najjar

“…The results indicate that the ANN-based model provided the most accurate predictions for UCS, achieving an R² of 0.83, a root-mean-squared error (RMSE) of 1.11, and a mean absolute relative error (MARE) of 0.42. …”
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Addressing inhaler technique challenges in cognitively impaired chronic obstructive pulmonary disease patients: the impact of customized training programs by Vaishnavi V Gaonkar, Vinay V Shanbhag, Shreya S Kajave, Mahek R Mattikop, Mandati Santhosh Reddy

“…Many elderly individuals make major errors that prevent proper medicine administration. …”
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Computed Tomography Criteria for Differential Evaluation of True and False Lumens in Aortic Dissection by R. S. Muslimov, I. E. Popova, L. T. Khamidova, V. S. Selyaev, I. V. Vasilyeva, L. S. Kokov

“…The signs of true and false lumen presented in the work, as well as their combination, make it possible to perform a quick and error-free marking of the aortic lumen with a high degree of probability. …”
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Modelling flood losses of micro-businesses in Ho Chi Minh City, Vietnam by A. Buch, A. Buch, A. Buch, D. Paprotny, K. Rafiezadeh Shahi, K. Rafiezadeh Shahi, H. Kreibich, N. Sairam

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Remaining useful life prediction of a small sample of aero-engine based on an improved gray Markov model by Dong-hai Li, Ji-liang Tu, Hui Liu, Nai-zhi Liao

“…The improved model achieves an average absolute percentage error reduction of 2.04 % compared to the original gray Markov model. …”
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Stability Analysis of Horizontal Layered Multi-Stage Fill Slope Based on Limit Equilibrium Method by Xiaohui Li, Shuaihua Ye, Manman Qiu, Weina Ye, Jingbang Li

“…The research results can provide a theoretical basis and practical reference for stability analysis, filler selection, and engineering design of the fill slope.…”
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Williams Syndrome and Agreement: The Case for Spanish Speakers by Antònia Llull Febrer, Lluís Barceló-Coblijn, Elga Cremades

“…The findings reveal that WS speakers’ gender and number agreement patterns are closely aligned with those observed in TD speakers, with only minor variations, such as a slight tendency toward unmarked gender forms among TD participants. Additionally, error rates are low in both groups, suggesting that observed discrepancies might be due to individual variation rather than condition-specific deficits, even though the statistical power of the study is limited. …”
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An Experimental Study of Locally Assembled Vacuum Chamber and Estimation of Sample Porosities from Various Formations, Northern Iraq by Bafren Kamil Raoof, Khabat Mohammed Ahmed, Rand Mohammed Othman

“…To meet the process development required, part of the samples was tested in a more sophisticated device to provide well-aimed results and decrease the margin of error where B (1,2) and S5 were measured using a nitrogen porosimeter to attain further accuracy and reliability and compare the results to a saturation method. …”
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Intelligent Demand Response Resource Trading Using Deep Reinforcement Learning by Yufan Zhang, Qian Ai, Zhaoyu Li

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Underwater Target Bearing Estimation Performance of Bottom-Mounted Extended Coprime Sparse Array by Yukun Zhang, Qiulong Yang, Kunde Yang, Xuegang Li

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Analysis of Relay Protection for Offshore Wind Power Long-Distance Submarine Cable Transmission with High Resistance Station by Zhenlong TAN, Xiangyi QIAN, Wenchang CAI

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Effets de l’économie informelle sur la croissance économique en Afrique sub-saharienne : le rôle de la qualité des institutions by Fousséni RAMDE, Kélani TAGBA

“…Following preliminary tests, the Error Correction Model is specified to conduct econometric analysis in order to bring out both the short-run and long-run coefficients. …”
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Data-Driven Method of Modeling Sparse Flow Field Data by WANG Hongxin, XU Degang, ZHOU Kaiwen, LI Linwen, WEN Xin

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Full-Wave Simulation of a Helmholtz Radiofrequency Coil for Magnetic Resonance Applications by Giulio Giovannetti, Denis Burov, Angelo Galante, Francesca Frijia

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Barrier Function and Terminal Synergetic-Based Controllers for the Chemotherapy of Brain Tumor by Muhammad Zubair, Daniela Iacoviello, Sheraz Ahmad Babar

“…The controller has remained successful in reducing the tumor cells and maintaining safe number of healthy and immune cells, showing favorable results in terms of steady-state error, over-under shoots, and rate of convergence.…”
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A Multimodal Image Registration Method for UAV Visual Navigation Based on Feature Fusion and Transformers by Ruofei He, Shuangxing Long, Wei Sun, Hongjuan Liu

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Low-Cost Portable Road Smoothness Testing Method Based on Pseudo-Vibration Velocity Range by Hongwei Jiang, Xinlong Tong, Yanhong Zhang, Zhoujing Ye, Junqing Li, Yu Wang, Yinghao Miao

“…Testing with different vehicle types showed that the method is applicable to both sedans and SUV models, yielding a relative error of 8.9% for the sedan smoothness test model and 6.7% for the SUV smoothness test model. …”
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Hardware implementation of EKF based SOC estimate for lithium-ion batteries in electric vehicle applications by G. Nishanth, M. Murali Krishnan, Balamurugan Parandhaman, J. Harinarayanan

“…In this instance, the EKF method has been implemented with software and hardware demonstration, and the measured value and estimated value have both achieved an error that is within 2% of each other. As a result of executing the static capacity test under dV/dt with the discharging current set to constant and hybrid pulse power characterization test, the figures that are becoming available are being acquired. …”
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A Link-Quality Anomaly Detection Framework for Software-Defined Wireless Mesh Networks by Sotiris Skaperas, Lefteris Mamatas, Vassilis Tsaoussidis

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House Value Estimation using Different Regression Machine Learning Techniques by Tarek Ghamrawi, Müesser Nat

“…The models were evaluated using R-squared (R²) and Mean Absolute Error (MAE) as performance metrics. The results demonstrated that the Random Forest Regressor and XGB Regressor outperformed other models, achieving the highest R² scores and the lowest MAE values. …”
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