Margin weighted robust discriminant score for feature selection in imbalanced gene expression classification. by Sheema Gul, Dost Muhammad Khan, Saeed Aldahmani, Zardad Khan

“…To futher assess the efficacy of the proposed method, the paper also gives a detailed simulation study.…”
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Evapotranspiration Disaggregation Using an Integrated Indicating Factor Based on Slope Units by Linjiang Wang, Bingfang Wu, Weiwei Zhu, Abdelrazek Elnashar, Nana Yan, Zonghan Ma

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Research on Deformation Prediction Surrogate Model of Thin-walled Parts for Digital Twin Modeling by YUE Caixu, ZHANG Jiahao, XIA Wei, JIA Ruhong, GUO Yandong, LIU Xianli

“…A lightweight model for machining deformation prediction of thin-walled parts driven by digital twin is constructed by using Bayesian optimized random forest surrogate model. Based on Unity3D platform, a digital twin intelligent application platform for cutting deformation prediction is constructed, and a bidirectional data mapping mechanism between the physical machining environment and the virtual simulation space is established. …”
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Network Intrusion Detection Using Knapsack Optimization, Mutual Information Gain, and Machine Learning by Akindele S. Afolabi, Olubunmi A. Akinola

“…The proposed KOMIG IDS was applied to the UNSW-NB15 dataset, which is a well-known network intrusion evaluation dataset, and the resulting data, after optimization operation, were used to train four machine learning models, namely, logistic regression (LR), random forest (RF), decision tree (DT), and K-nearest neighbors (KNN). …”
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Reverse microdialysis of sucrose stimulates soil fungal and bacterial growth at the microscale by Andreas N. Schneider, Scott Buckley, Zulema Carracedo Lorenzo, Regina Gratz, Lina Nilsson, Mark Swaine, Nathaniel R. Street, Andy F. S. Taylor, Sandra Jämtgård

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Determining Dominant Factors of Vegetation Change with Machine Learning and Multisource Data in the Ganjiang River Basin, China by Zhiming Xia, Kaitao Liao, Liping Guo, Bin Wang, Hongsheng Huang, Xiulong Chen, Xiangmin Fang, Kuiling Zu, Zhijun Luo, Faxing Shen, Fusheng Chen

“…XGBoost was better than the RF model in simulating the NDVI when using all five types of data source (R² = 0.85; RMSE = 0.04). …”
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Predicting Nonlinear Behavior of Cellular Cross-Laminated Timber Under Bending and Rolling Shear by Suman Pradhan, Mostafa Mohammadabadi

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Model experimental study of filling property of ring-type geotextile tube by LAI Zhiqiang, XU Shuling, ZHAO Lianjun, Chen Lin, ZHANG Ming

“…Leveraging machine learning principles, the heights of the filled tube bags under three different filling methods—counterclockwise, radial, and vertical—were simulated and predicted using the random forest algorithm, based on experimentally measured heights. …”
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The development and application of compound formulation of natural antioxidants in Idesia polycarpa maxim. Oil by Fangming Liu, Yurui Xie, Xiaodong Geng, Zhi Li, Yanmei Wang, Zhen Liu, Qifei Cai

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Stratified allocation method for water injection based on machine learning: A case study of the Bohai A oil and gas field by Changlong Liu, Pingli Liu, Qiang Wang, Lu Zhang, Zechao Huang, Yuande Xu, Shaojiu Jiang, Le Zhang, Changxiao Cao

“…This model can be utilized to simulate the injection allocation of injection wells, potentially increasing natural gas and oil production by over 4 %.…”
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Hierarchical Assembly of Carbon Dots with Full‐Solar‐Spectrum Absorption for Solar Energy Applications by Lei Li, Di Li, Yanfei Qu, Ruoyu Zhang, Shuo Qi, Mengyao Liu, Haohao Bi, Tao Jia, Songnan Qu, Weitao Zheng

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Analysis and prediction of land use/land cover change in the Llanganates-Sangay Connectivity Corridor by 2030 by Luis Jonathan Jaramillo Coronel, Andrea Cecilia Mancheno Herrera, Adriana Catalina Guzmán Guaraca, Juan Gabriel Mollocana Lara

“…Additionally, LULC simulations from 2022 to 2030 predict annual rates of change of –0.27 %/year (-1628.97 ha) for Forest Formation, -1.39 %/year (-63.49 ha) for Non-Forest Natural Formation, 1.92 %/year (1778.26 ha) for Agriculture and Livestock Areas, 0.97 %/year (30.38 ha) for Non-Vegetated Areas, and 0.63 %/year (-146.18 ha) for Water Bodies. …”
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A Framework to Calibrate Ecosystem Demography Models Within Earth System Models Using Parallel Surrogate Global Optimization by Yanyan Cheng, Wei Xia, Matteo Detto, Christine A. Shoemaker

“…In addition, while representation of forest successional coexistence in ESMs is necessary to accurately capture forest‐climate interactions, few models can simulate forest coexistence and few studies have calibrated coexisted forest species. …”
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Effects of Bioturbation by Earthworms on Litter Flammability in Young and Mature Afforested Stands by Aneta Martinovská, Ondřej Mudrák, Jan Frouz

“…The quantity, quality, and accumulation rate of plant litter play a key role in forest floor flammability and, by extension, fire regimes. …”
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A Study on the Spatiotemporal Dynamics of Land Cover Change and Carbon Storage in the Northern Gulf Economic Zone of Guangxi Based on the InVEST Model by Shu-Qi Huang, Da-Fang Wu, Yue-Ling Pan, Jin-Yao Lin, Ping Zhou

“…The findings reveal that ① forest land and arable land dominate the northern Gulf of Guangxi’s land use, with notable changes observed in forest land, unused land, and construction land areas. …”
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Application of Quantum Key Distribution to Enhance Data Security in Agrotechnical Monitoring Systems Using UAVs by Makhabbat Bakyt, Luigi La Spada, Nida Zeeshan, Khuralay Moldamurat, Sabyrzhan Atanov

“…This study proposes the integration of Quantum Key Distribution (QKD), based on the BB84 protocol, as a secure key management mechanism to enhance data security in UAV-based geographic information systems (GIS) for monitoring agricultural fields and forest fires. QKD is not an encryption algorithm but a secure key distribution protocol that provides information-theoretic security by leveraging the principles of quantum mechanics. …”
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Energy saving and low carbon oriented renovation framework for educational buildings with Tianjin University case study by Xinge Du, Xiang Liu, Feng Gao, Zhihua Zhou

“…Building modeling, performance simulation, and multi-objective optimization were completed through Rhinoceros v8.0, Ladybug Tools v1.6.0 and WallaceiX v2.7 plugins, and data was processed using Python v3.10.0. …”
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Simultaneous OPEX and carbon footprint reduction with hydrogen enhancement in autothermal reforming: a machine learning–based surrogate modeling and optimization framework by Sahar Shahriari, Davood Iranshahi

“…The approach integrates tabular Q-learning with a random forest-based surrogate model to accelerate objective evaluations during policy training, significantly improving sample efficiency and reducing dependence on computationally expensive reactor simulations. …”
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Comparison and general law research of multiple machine-learning models for proton exchange membrane electrolytic cell parameters prediction by Yukun Wang, Hai-Wen Li, Wenhan An, Yudong Mao, Kaimin Yang, Jiying Liu

“…Abstract This paper presents a simulation-based framework for predicting the performance of proton exchange membrane electrolytic cells (PEMEC). …”
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Analysis and Prediction of Coverage and Channel Rank for UAV Networks in Rural Scenarios With Foliage by Donggu Lee, Ozgur Ozdemir, Ram Asokan, Ismail Guvenc

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