Optimization of Pertamax Fuel Distribution Using Clarke-Wright Savings, Nearest Neighbour, and Goal Programming (Case Study: Malang City) by Tharisa Melani, Sobri Abusini, Marjono Marjono

“…The CWS is applied to group routes efficiently by reducing travel distances, while NN determined the delivery sequence within each route. …”
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Integration of UAV Remote Sensing and Machine Learning for Taro Blight Monitoring by Yushuai Wang, Yuxin Chen, Zhou Shu, Shaolong Zhu, Weijun Zhang, Tao Liu, Chengming Sun

“…In the early stage, the BPNN model achieved a coefficient of determination (R²) of 0.92 and an RMSE of 0.054 on the training set, and it obtained an R² of 0.89 with a root mean square error (RMSE) of 0.074 on the validation set. …”
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Predicting strength in polypropylene fiber reinforced rubberized concrete using symbolic regression AI techniques by Ahmed A. Alawi Al-Naghi, Kinza Aamir, Muhammad Nasir Amin, Bawar Iftikhar, Kashif Mehmood, Muhammad Tahir Qadir

“…Among the two, the MEP model demonstrated stronger predictive capability, achieving a coefficient of determination of 0.90 and a mean absolute error of 3.83 MPa. …”
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Hybrid AI-Based Framework for Renewable Energy Forecasting: One-Stage Decomposition and Sample Entropy Reconstruction with Least-Squares Regression by Nahed Zemouri, Hatem Mezaache, Zakaria Zemali, Fabio La Foresta, Mario Versaci, Giovanni Angiulli

“…Results show a notable improvement in accuracy, achieving a root mean square error as low as 2.18 and a coefficient of determination near 0.999. Compared to traditional methods, forecasting errors were reduced by up to 30%, demonstrating the model’s effectiveness in supporting sustainable and reliable energy systems.…”
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Plant Disease Segmentation Networks for Fast Automatic Severity Estimation Under Natural Field Scenarios by Chenyi Zhao, Changchun Li, Xin Wang, Xifang Wu, Yongquan Du, Huabin Chai, Taiyi Cai, Hengmao Xiang, Yinghua Jiao

“…PDSNetx0.5 achieved an overall F1 score of 91.96%, an Intersection over Union (IoU) of 85.85% for segmentation, and a coefficient of determination (R²) of 0.908 for severity estimation. …”
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ANALYTICAL SOLUTION TO CONTACT PROBLEM ON SPHERICAL INDENTER PENETRATION INTO SOFT ELASTIC LAYER by Sergey Sergeyevich Volkov

“…An efficient method for constructing an approximate analytical solution to the contact problem of the penetration of a spherical indenter into the soft elastic layer lying on a rigid elastic foundation is proposed. …”
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Study on Granite Permeability Zoning Based on Electrical Resistivity: Take Wuyue Pumped Storage Power Station as an Example by Zhiquan Huang, Tao Ran, Jinyu Dong, Guangxiang Yuan, Guizhang Zhao

“…The following steps are conducted in this method; first, water pressure tests were conducted on the borehole to determine the permeability of the granite mass at different depths; next, the electrical resistivity values of the borehole rock were determined using geophysical logging techniques; finally, three mathematical models were chosen to construct the relationship between the two, and their applicability in the study area was confirmed. …”
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Prediction of Post-Diagnostic Decisions for Tested Hand Grenades’ Fuzes Using Decision Trees by Dariusz AMPUŁA

“…The process of building a classification tree, according to the CHAID method, is shown paying particular attention to the disadvantages, advantages, and characteristics features of this method, as well as to the formal requirements that are necessary to build this model. …”
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IMPLEMENTATION OF K-MEDOIDS AND K-PROTOTYPES CLUSTERING FOR EARLY DETECTION OF HYPERTENSION DISEASE by Hardianti Hafid, Selvi Annisa

“…The Elbow and Silhouette Coefficient methods were applied to evaluate the data and determine the optimal number of clusters for dividing patients into low-risk and high-risk hypertension groups. …”
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A Robust Algorithm for Estimating Total Suspended Solids (TSS) Using Sentinel-2: Case Study in Coastal Waters of Teluk Awur, Jepara, Indonesia by Anis Yasmin Sabila, Lilik Maslukah, Anindya Wirasatriya, Elis Indrayanti, Indra Budi Prasetyawan, Sugeng Widada

“…Remote sensing is one of the most effective and efficient methods to monitor TSS with cost-effective operations. …”
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Research on the Maximum Regenerative Energy Commutation Control Strategy of a Dual-Mode Synergistic Energy Recovery Pump-Controlled Grinder by Bo Yu, Gexin Chen, Keyi Liu, Guishan Yan, Yaou Zhang, Yinping Liu

“…Large-inertia pump-controlled grinding machines experience significant energy loss and potential hydraulic shock during frequent high-speed table reciprocation. Traditional control methods often neglect to address efficient energy recovery during the dynamic commutation phase. …”
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Discrete choice modelling of hypertension patients’ preferences for attributes of a public medical facility in Ibadan, Nigeria by Oluwaseun Aramide Otekunrin, Tekiyat Abiola Adebisi, Sururoh Adeniran-Babatunde, Olutosin Ademola Otekunrin

“…Methods A Discrete Choice Experiment (DCE) that utilized three hypothetical medical facilities was used for the study. …”
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Interpretable machine learning approach for TBM tunnel crown convergence prediction with Bayesian optimization by Wanrui Hu, Kai Wu, Kai Wu, Heng Liu, Weibang Luo, Xingxing Li, Peng Guan

“…Validation using data from a TBM water conveyance tunnel in Xinjiang, China, confirmed the method’s practical utility, positioning it as an effective auxiliary tool for safer and more efficient TBM tunnel construction.…”
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Quality of Life in Patients with Multiple Sclerosis by Grażyna Franek, Marzena Bieniak, Aleksandra Cieślik

“…In order to calculate the variables, the following measures were used: arithmetic mean, standard deviation, coefficient of variation, asymmetry coefficient, kurtosis coefficient, Person linear correlation coefficient, Spearman rank correlation coefficient. …”
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Synthesis and solvatochromism of some hydroxy substituted phenyl azo pyridone dyes by Đenđi Vaštag, Dušan Mijin

“…In addition, the effect of the solvent used was determined by applying a solvatochromic model using the LSER method (linear solvation energy relationship). …”
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Modeling of elastic plastic deformation of near-surface layers of materials by Villiy A. Mekheda

“…The main parameters of the surface effect were determined experimentally and by calculations using the method of reduction coefficients in the process of successive approximations: depth, coefficient of hardening of the material, stresses of plastic flow on the surface and inside the material. …”
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Evaluation of the Impact of Public Space Design on Enhancing Psychological Resilience of Citizens after Urban Crises (Case Study: Oskou urban) by Faegheh Zirdabi Oskouei, MirSaead Moosavi, Nasim Najafgholipour Kalantari, Akbar Abdollahzadeh Taraf

“…The quantitative results revealed that biophilic design had the most substantial effect on psychological resilience, with a regression coefficient of 0.31 and a coefficient of determination (R²) of 0.42. …”
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Evaluation of the reliability and validity of the Persian version of the Reported and Intended Behaviour Scale, a mental health stigma-related behaviour measure by Sima Garmehi, Bahareh Hakimi, Fateme Farhoudi, Ehsan Abedini

“…Exploratory factor analyses were performed to determine the construct validity. The reliability of the questionnaire was assessed using internal consistency (Cronbach’s alpha coefficient) and test-retest methods.ResultsMost of the participants were 28-37 (53.9%), female (64.6%), married (51.6%), unemployed (67.7%) and educated (100%). …”
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The Influence of Self Leadership on Task Commitment Through Self-Efficacy Mediation in Students by Agustina Agustina, Rahmi Lubis, Siti Aisyah

“…Hypothesis 3, namely that there is an effect of self-leadership on task commitment through self-efficacy, this hypothesis is proven by the significance value in the regression coefficient table of 0.000 <0.05. while the calculated R value is 0.580. the coefficient of determination obtained a value of 0.336 or 33.6%. …”
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Reliability and Quality of Complex Systems by S.M. Gerashchenko, A.D. Semenov, S.I. Gerashchenko, N.V. Goryachev, I.M. Rybakov

“…Comparison of the air and liquid working environment showed that the transmission coefficient of the water channel, in the working frequency range, is approximately 17 times greater than the transmission coefficient of the air channel, and the phase distortion coefficient is four times smaller. …”