Modelling the impact of road infrastructure on cycling moving speed by Afshin Jafari, Dhirendra Singh, Lucy Gunn, Alan Both, Billie Giles-Corti

“…Linear regression and random forest models were used to identify factors affecting cycling speed, which informed the parameters of the agent-based model. …”
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Experimental Study on Evaluation of Organization Collaboration in Prefabricated Building Construction by Dingjing Bao, Yuan Chen, Shuai Wan, Jinlai Lian, Ying Lei, Kaizhe Chen

“…Moreover, the BO-XGBoost model was compared with the random forest, support vector machine, and logistic regression prediction models. …”
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Development of a special self-adaptive auxetic structure for protecting tree trunks from external damage by Dejan Tomažinčič, Jernej Klemenc

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Study of machine learning techniques for outcome assessment of leptospirosis patients by Andreia Ferreira da Silva, Karla Figueiredo, Igor W. S. Falcão, Fernando A. R. Costa, Marcos César da Rocha Seruffo, Carla Cristina Guimarães de Moraes

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Piezoresistive Cantilever Microprobe with Integrated Actuator for Contact Resonance Imaging by Tianran Ma, Michael Fahrbach, Erwin Peiner

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Impact of Land Use Change on Carbon Storage in Complex Terrains: A Case Study of Sichuan–Chongqing, China by Tiankuo Chu, Jun Li, Chengye Zhang, Xiaoai Dai, Yikun Qing, Huan Huang, Manling Peng

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An RTM-Driven Machine Learning Approach for Estimating High-Resolution FAPAR From LANDSAT 5/7/8/9 Surface Reflectance by Guodong Zhang, Gaofei Yin, Yi Zhang, Jiangchuan Hu, Zongyan Li, Changjing Wang, Dujuan Ma, Jiangliu Xie

“…The simulated dataset encompassing diverse canopy structural and atmospheric states is utilized to train a random forest model relating Landsat surface reflectance bands to FAPAR. …”
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Do drought and understory beech interact to influence the nutrition and growth of sugar maple? by William F. J. Parsons, Claudele Ghotsa Mekontchou, Tanvir Ahmed Shovon, Audrey Maheu, David Rivest

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Spatial-Temporal Variation and Driving Forces of Carbon Storage at the County Scale in China Based on a Gray Multi-Objective Optimization-Patch-Level Land Use Simulation-Integrated... by Gui Chen, Qingxia Peng, Qiaohong Fan, Wenxiong Lin, Kai Su

“…This study deepened, to a certain extent, the research on spatiotemporal dynamics simulation of carbon storage and its driving mechanisms under land-use changes in mountainous forest ecosystems. …”
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Interpreting seasonal droughts over the Yangtze River Basin utilizing anomalies of local-scale atmospheric circulation by Hao Yin, Zhiyong Wu, Hai He

“…Mid-level specific humidity plays a key role in the upper reaches. The Random Forest model, using these four local factors as predictors, accurately simulates the spatiotemporal evolution of seasonal droughts over the YRB, providing new insights into the mechanisms behind these events.…”
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Impacts and Prediction of Land Use/Cover Change on Runoff in the Jinghe River Basin, China by Ling Zhang, Weipeng Li, Zhongsheng Chen, Ruilin Hu, Zhaoqi Yin, Chanrong Qin, Xueqi Li

“…The results show that reductions in farmland, grassland, and forest areas promote runoff, while increases in construction land similarly contribute to greater runoff. …”
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Land Use Challenges in Emerging Economic Corridors of the Global South: A Case Study of the Laos Economic Corridor by Mingjuan Dong, Xingping Wang, Yiran Yan, Dongxue Li

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Using Multi-Scenario Analyses to Determine the Driving Factors of Land Use in Inland River Basins in Arid Northwest China by Yang You, Pingan Jiang, Yakun Wang, Wen’e Wang, Dianyu Chen, Xiaotao Hu

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Screening and Validation: AI-Aided Discovery of Dipeptidyl Peptidase-4 Inhibitory Peptides from Hydrolyzed Rice Proteins by Cheng Cheng, Huizi Cui, Xiangyu Yu, Wannan Li

“…A random forest classification model achieved 85.37% accuracy in predicting inhibitory activity. …”
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Parameter Regionalization With Donor Catchment Clustering Improves Urban Flood Modeling in Ungauged Urban Catchments by Chen Hu, Jun Xia, Dunxian She, Zhaoxia Jing, Si Hong, Zhihong Song, Gangsheng Wang

“…PRF classifies 37 urban catchments into three groups, and the partial least‐squares regression is identified as optimal regression‐based method for Groups 1 and 2, while the random forest model is found to be best for Group 3. To evaluate the simulation performance of PRF, we compare it with eight single regionalization methods. …”
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Assessing the impact of reverse osmosis plant operations on water quality index improvement through machine learning approaches and health risk assessment by Fariba Abbasi, Azadeh Kazemi, Ahmad Badeenezhad, Mostafa Moazamfard, Raham Armand, Amin Mohammadpour

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Enhanced Oil and Gas Production Forecasting Through Stacked generalization Ensemble Learning Technique by Azhar Alyahya, Gülüzar Çit

“…Techniques like “ Decline Curve Analysis (DCA) and Numerical Reservoir Simulation (NRS) ” have been used in the past, but they have drawbacks such reliance on static models and time consumption. …”
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INFO-RF-based fault diagnosis and analysis method for busbars by Chen Xue, Jian Zhu, Haiou Cao, Yan Gu, Siyu Chen

“…This paper presents a method for busbar fault diagnosis and analysis that combines the weighted mean of vectors (INFO) algorithm with the Random Forest (RF) model. Building on the accurate identification of busbar fault types, the method further predicts fault resistance. …”
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Lorenz-PSO Optimized Deep Neural Network for Enhanced Phonocardiogram Classification by Awais Mahmood, Mousa Alhajlah, Habib Dhahri, Abdulaziz Almaslukh

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Development and application of the 3-PGCj model for predicting stand growth of Japanese cedar (Cryptomeria japonica) plantations by Hung-En Li, Ching-Chu Tsai, Kai-Chih Yin, Yen-Jen Lai, Su-Ting Cheng

“…It uses climate data to simulate growth, estimate biomass allocation through allometric equations, assess mortality via zero-inflated Poisson modeling, and simulate canopy dynamics. …”
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