Combination of machine learning and data envelopment analysis to measure the efficiency of the Tax Service Office by Shofinurdin Soffan, Arif Bramantoro, Ahmad A. Alzahrani

“…The optimization of multilayer perceptrons using genetic algorithms reduced the mean squared error by about 75.75%, from 0.0144 to 0.0035. Based on our findings, the overall performance of tax service offices in Indonesia has reached an efficiency level of 64%. …”
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Polarization of road target detection under complex weather conditions by Feng Huang, Junlong Zheng, Xiancai Liu, Ying Shen, Jinsheng Chen

“…Experimental results on the PIRT-CW show that the YOLO-PRTD algorithm achieves a mAP0.5 of 89.83%, reducing the error rate by 15.54% compared to the baseline network YOLOX.…”
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A Novel Fuzzy PIDF Enhancing PIDF Controller Tuned in Two Stages by TLBO and PSO Algorithms for Reliable AVR Performance by Mokhtar Shouran, Mohammed Alenezi

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Performance of the Direct Sequence Spread Spectrum Underwater Acoustic Communication System with Differential Detection in Strong Multipath Propagation Conditions by Jan H. SCHMIDT, Iwona KOCHAŃSKA, Aleksander M. SCHMIDT

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Centralized Measurement Level Fusion of GNSS and Inertial Sensors for Robust Positioning and Navigation by Mohamed F. Elkhalea, Hossam Hendy, Ahmed Kamel, Ashraf Abosekeen, Aboelmagd Noureldin

“…Specifically, the TC algorithm demonstrated a remarkable reduction of over 90% in 2D position root mean square error (RMSE) and a 75% reduction in 3D position RMSE when compared to solutions utilizing the weighting matrix provided by Google with all visible satellites. …”
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A damage zone detection method in concrete hydraulic structures based on multi-frequency ultrasonic characteristics by Jinchao Wang, Ming Chen, Nian Zhu, Houcheng Liu

“…The results indicated that the method proposed in this paper can improve the accuracy and efficiency of detecting damaged areas in concrete structures. The theoretical error was below 10%. The proposed method exhibited stronger adaptability, providing more effective and accurate diagnostic methods for assessing the current state of damaged areas in concrete structures in practice.…”
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Effectiveness of Vestibular Rehabilitation in Children Post-Concussion: A Systematic Review by Devashish Tiwari, Melisa Erdal, Kristyn Alonzo, Victoria Twombly, Paige Concannon, August West, Mairead O'Byrne

“…Three studies reported a statistically significant improvement in DHI (change scores = 19-25, p < 0.05), gait speed (F = 38.3, p < 0.001), Balance Error Scoring System (BESS) (change score percentage 12.1 – 52%, p < 0.01), and Activities-specific Balance Confidence (ABC) scale (change = 20-29 points, p <0.01)…”
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Evaluation of Hydropower Generation and Reservoir Operation under Climate Change from Kesem Reservoir, Ethiopia by Kinfe Bereda Mirani, Mesfin Amaru Ayele, Tarun Kumar Lohani, Tigistu Yisihak Ukumo

“…Bias, root mean square error, and coefficient of variation were used to check the accuracy of projected rainfall. …”
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Collaborative Optimization on Both Weight and Fatigue Life of Fifth Wheel Based on Hybrid Random Forest with Improved BP Algorithm by Huan Xue, Chang Guo, Xiaojian Peng, Saiqing Xu, Kaixian Li, Jianwen Li

“…Compared to the traditional BP approach, this model improved the mean absolute percentage error (MAPE) by 47.62%. Quadratic optimization was conducted based on the optimal design option set, using data analysis to determine the range of values of each variable under specific constraints and to verify the stress-strain and fatigue life for very small values in the range.…”
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Prevalence of Amblyopia in Hawler Eye Teaching Hospital by Lamyaa Jasim Abbas, Ahmed Ismail Abdulgani, Goran Mohammed Abdulla

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Tuberculosis risk factors in South Africa, 2008 to 2017: A Generalised Estimating Equations approach by Hilda Dhlakama, Siaka Lougue, Henry Godwell Mwambi

“…Continued efforts to use research to create a nation free of tuberculosis are underway.  …”
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Predictability and Impact of Structural Reinforcement on Unplanned Dilution in Sublevel Stoping Operations by Thaís Janine Oliveira, Anna Luiza Marques Ayres da Silva

“…Applying a site-specific linear calibration lowered the mean absolute dilution error from 0.126 m to 0.101 m (≈20%), with the largest improvement (≈29%) occurring in self-supported stopes where the unadjusted graph is least reliable. …”
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Predictions of Multilevel Linguistic Features to Readability of Hong Kong Primary School Textbooks: A Machine Learning Based Exploration by Zhengye Xu, Yixun Li, Duo Liu

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A latent Markov modelling approach to the evaluation of circulating cathodic antigen strips for schistosomiasis diagnosis pre- and post-praziquantel treatment in Uganda. by Artemis Koukounari, Christl A Donnelly, Irini Moustaki, Edridah M Tukahebwa, Narcis B Kabatereine, Shona Wilson, Joanne P Webster, André M Deelder, Birgitte J Vennervald, Govert J van Dam

“…We present a discrete Markov chains modelling framework that deals with the longitudinal study design and the measurement error in the diagnostic methods under study. A longitudinal detailed dataset from Uganda, in which one or two doses of PZQ treatment were provided, was analyzed through Latent Markov Models (LMMs). …”
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Assessing the accuracy of adherence and sexual behaviour data in the MDP301 vaginal microbicides trial using a mixed methods and triangulation model. by Robert Pool, Catherine M Montgomery, Neetha S Morar, Oliver Mweemba, Agnes Ssali, Mitzy Gafos, Shelley Lees, Jonathan Stadler, Andrew Nunn, Angela Crook, Richard Hayes, Sheena McCormack

“…The main reasons for inaccuracies are participants forgetting, interviewer error, desirability bias, problems with the definition and delineation of key concepts (e.g. …”
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Evaluating the Signal Contribution of the DTU21MSS on Coastal Mean Dynamic Topography and Geostrophic Current Modeling: A Case Study in the African–European Region by Hongkai Shi, Xiufeng He, Ole Baltazar Andersen

“…Furthermore, improvements in the MSS and its error information could directly enhance the deduced MDT models, highlighting its foundational role in precise oceanographic modeling.…”
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Quantitative determination of methanol and propanol-2 in tinctures and extracts using head-space gas chromatography in comparison with method of vaporization of liquid in GC inlet by T. V. Panasenko, L. O. Omelianchyk, N. V. Kandybei, A. I. Yaroshenko

“…Statistical parameters of the obtained results were assessed (average, error, variance). Results. The results demonstrated that methanol and propanol-2 contents in tinctures did not exceed the limit value, which is set to 0.05 %. …”
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Estimation of parameters and hypothesis testing of multivariate spatial autoregressive model by Sutikno, Purhadi, Fachrunisah, Fajar Dwi Cahyoko

“…The proposed model achieves a Root Mean Square Error of 5 and an R-squared value of 60 %, demonstrating its effectiveness in capturing spatial dependence in multivariate settings. …”
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A Novel Method of Self-Healing Concrete to Improve Durability and Extend the Service Life of Civil Infrastructure by Yan Xue, Weiliang Gao, Yanming Zhao

“…The coefficient of determination between the predicted and actual values in the test dataset is 0.9357, and the root-mean-square error is 0.10267. Building upon this, the enhanced concrete durability prediction model based on the NSGA-II algorithm proves to be highly effective in predicting the optimal concrete mix proportion scheme. …”
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Anesthesia depth prediction from drug infusion history using hybrid AI by Liang Wang, Yiqi Weng, Wenli Yu

“…Performance was assessed using Mean Squared Error (MSE) and compared against other models. Results The hybrid model demonstrated superior predictive performance compared to conventional regression approaches. …”
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