Prediction of Monthly Temperature Over China Based on a Machine Learning Method by Ping Mei, Zixin Yin, Haoyu Wang, Changzheng Liu, Yaoming Liao, Qiang Zhang, Liping Yin

“…Five machine learning algorithms are employed as regressors one by one: linear regression (LR), ridge regression (RR), random forest (RF), support vector machine (SVM), and gradient boosting decision trees (GBDTs). The method performs reforecasting for 2012–2021 and compares the results with the output of operational climate models from ECMWF, NCEP, and the Beijing Climate Center. …”
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Prediction of traditional Chinese medicine for diabetes based on the multi-source ensemble method by Bin Yang, Qingyun Chi, Xiang Li, Jinglong Wang

“…Finally, the frequencies of occurrences of the medicinal herbs obtained from the three algorithms using the component and target datasets are integrated to select duplicate drugs as the candidate drugs for diabetes treatment.ResultsThe identification results reveal that theproposed ensemble method has higher accuracy than GBDT, FNT, and LightGBM. …”
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Application of the Analytical Hierarchy Process in the management of private ambulance care systems in three selected European countries: a strategic decision-making framework by Jalal Rezaei, Roya Azouji, Mina Azouji, Hamzeh Ghorbani, Hamzeh Ghorbani

“…A purposive sampling method was used to ensure the inclusion of key stakeholders with direct experience in the sector. …”
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Decision Support System for the Design Process of Apatite Biopolymer Composite Parts by Panda Anton, Dyadyura Kostiantyn, Dmitrishin Dmitriy, Smorodin Andrey, Prokopovich Igor

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Sales Segmentation Analysis of Tobacco Products Using the K-Means Clustering Method by Yance Sonatha, Aldo Erianda, Redhatul Fitri

“…This study analyzes sales transaction data of tobacco products at Tobacco Shop Taste using the K-Means Clustering method. By implementing the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework, the sales data were categorized into three groups: highly sold, moderately sold, and less sold. …”
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An Effective Summary Preprocessing Method for Time Series Forecasting With Multiple Temporal Granularities by Hyeseong Lee, Yunyeong Kim, Sungwon Jung

“…We employed six datasets and three time-series forecasting models to demonstrate the effectiveness of the proposed summary preprocessing method. …”
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Effect of lower urinary tract anatomy measured on three-dimensional reconstruction using magnetic resonance imaging on the treatment of benign prostatic hyperplasia decision by Guibing He, Rui Yu, Xingxing Li, Yankun Feng, Huiling Wu, Yi Wang, Kaijie Xu, Yong Yao, Junyi Lu, Zhisheng Hu

“…Magnetic Resonance Imaging (MRI) with three-dimensional (3D) reconstruction was utilized to accurately measure urinary tract anatomical parameters. …”
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Interacting effects of environment and cultivation method on biofouling of farmed oysters (Crassostrea virginica) by Ruby Krasnow, Thomas Kiffney, Robert Cuddy, Damian C. Brady

“…Understanding how different cultivation methods and environmental conditions influence the severity of biofouling is crucial to support informed decision‐making by farmers and minimize the economic impacts of biofouling in the aquaculture industry. …”
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Estimating the Relative Risks of Spatial Clusters Using a Predictor–Corrector Method by Majid Bani-Yaghoub, Kamel Rekab, Julia Pluta, Said Tabharit

“…Then, for each time interval, we selected the top 25 clusters with the highest relative risks and iteratively predicted the relative risks of clusters from intervals three to seven. The predictive accuracies ranged from moderate to high, indicating the potential applicability of this method for predictive disease analytic and future pandemic preparedness.…”
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A Machine Learning Method for Predicting Driving Range of Battery Electric Vehicles by Shuai Sun, Jun Zhang, Jun Bi, Yongxing Wang

“…A model built by the conventional multiple linear regression method is feasible to predict the driving range, but the residual errors between -3.6975 km and 3.3865 km are relatively unfaithful for real-world driving. …”
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Research on the Bearing Load Measurement Method Based on the Fusion of Redundant Strain Data and Jacking Data by Chengwei Fang, Aihua Liu, Hanhua Zhu, Yibin Deng

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A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition by Hanif Heidari, M. Murugappan, Javeed Shaikh-Mohammed, Muhammad E. H. Chowdhury

“…The partitioned random forests (PRFs) approach is proposed as a modified strategy for improving FER. The proposed method divides multiple regions (different data lengths) into the feature space, allowing the algorithm to learn more complex decision boundaries. …”
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Method for Changepoint Detection With Sample Size Accumulation During Radio Equipment Operation by Solomentsev Oleksandr, Zaliskyi Maksym, Herasymenko Tetyana, Petrova Yuliia

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Research on over-the-horizon air combat guidance method based on dynamic RCS by SONG Shaomei, YU Yifei, LI Gai, YANG Qiming, ZHANG Jiandong

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Safety Prejudging Method for Power Transformer Based on Multi-Prediction Model Fusion by Dianyang LI, Yujie ZHANG, Shanyuan WANG, Jian FENG, Hongzhe WANG, Ling QIN

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Research on the Method of Stabilizing the Power Output Fluctuation of Wind Farm by Electric Vehicles by Yu CHEN, Xiao PENG, Jing DING, Yazhou WANG, Jingping SHAO

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Risk Assessment of Drilling and Blasting Method Based on Nonlinear FAHP and Combination Weighting by Cheng Ji, Dong Luo, Xiaole Shen, Leilei Xu, Hongwei Pan, Yuwei Liu

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EXPRESS METHOD FOR CALCULATING GROSS MARGIN IN E-COMMERCE: A PRACTICAL APPROACH by Viktoriia Zalizniuk, Oleh Nozhovnik

“…Practical implications. The express method offers invaluable insights that can inform decision-making in a range of retail contexts. …”
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Time-Series Forecasting Method Based on Hierarchical Spatio-Temporal Attention Mechanism by Zhiguo Xiao, Junli Liu, Xinyao Cao, Ke Wang, Dongni Li, Qian Liu

“…However, the inherent spatio-temporal coupling characteristics and cross-period long-range dependency of sensor data cause traditional time-series prediction methods to face performance bottlenecks in feature decoupling and multi-scale modeling. …”
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Identification method of roof rock interface based on response characteristics of drilling parameters by LI Dianshang, LIU Cancan, WANG Chuanbing, REN Bo, REN Shuai, KANG Zhipeng

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