Estimating the groundwater table threshold for mitigating soil salinization in the Songnen Plain of China by Yiding Ding, Haishen Lü, Ligang Xu, Robert Horton, Mingliang Jiang, Yonghua Zhu, Junxiang Cheng, Hongxiang Fan, Jianbin Su

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CAA-RF: An Anomaly Detection Algorithm for Computing Power Blockchain Networks by Shifeng Jia, Yating Zhao, Yang Zhang, Bin Jia, Wenjuan Lian

“…To address Sybil attacks and distributed denial-of-service attack scenarios, this paper proposes an adaptive attention random forest convolutional neural network anomaly detection method (CAA-RF). …”
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Surface Ice Detection Using Hyperspectral Imaging and Machine Learning by Steve Vanlanduit, Arnaud De Vooght, Thomas De Kerf

“…Support Vector Machine (SVM) and Random Forest (RF) classifiers were trained on uncoated aluminum samples and evaluated on surfaces with different coatings to assess model generalization. …”
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True Leaf Area Index Retrieval Using Terrestrial LiDAR for Broadleaf Trees via Novel Multiinclined-Planes Method by Yuyang Guo, Shihua Li, Hao Tang, Ze He

“…True leaf area index (LAIt) is a more crucial and efficient structural parameter to characterize the photosynthetic capacity of broadleaf forests than the concept of effective leaf area index, which is the predominant form retrieved by remote sensing. …”
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Hierarchical 2-D/3-D Object-Based Classification of Photogrammetric Textured Mesh Models by Zhongwen Hu, Jinhua Zhang, Zhigang Liu, Yinghui Zhang, Jingzhe Wang, Qian Zhang, Guofeng Wu

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Trade-offs between nutrient export, greenhouse gas balance and financial performance in continuous cover and rotation forestry in drained peatlands in northern Finland by Anssi Ahtikoski, Jaakko Repola, Hannu Hökkä, Sakari Sarkkola, Paavo Ojanen, Soili Haikarainen, Leena Stenberg, Artti Juutinen

“…Once the trade-offs are revealed, it becomes feasible to pursue sustainable forest management. An openly available database was used to derive an empirical dataset representing a miniature of the Kiiminkijoki catchment in northern Finland, which was used for stand-level simulations (Motti stand simulator) and landscape-level optimisation in drained peatland forests. …”
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Machine learning and molecular docking prediction of potential inhibitors against dengue virus by George Hanson, Joseph Adams, Daveson I. B. Kepgang, Luke S. Zondagh, Lewis Tem Bueh, Andy Asante, Soham A. Shirolkar, Maureen Kisaakye, Hem Bondarwad, Olaitan I. Awe

“…Molecular dynamics simulations coupled with MMPBSA further elucidated the stability, making it a promising candidate for drug development.ConclusionOverall, this integrative approach, combining machine learning, molecular docking, and dynamics simulations, highlights the strength and utility of computational tools in drug discovery. …”
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Turning the Tide: A 2°C Increase in Heat Tolerance Can Halve Climate Change‐Induced Losses in Four Cold‐Adapted Kelp Species by Griffin Hill, Clément Gauci, Jorge Assis, Alexander Jueterbock

“…ABSTRACT Kelp forests are susceptible to climate change, as their sessile nature and low dispersal capacity hinder tracking of suitable conditions. …”
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Predicting Equatorial Ionospheric Convective Instability Using Machine Learning by D. Garcia, E. L. Rojas, D. L. Hysell

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Geospatial digital mapping of soil organic carbon using machine learning and geostatistical methods in different land uses by Yahya Parvizi, Shahrokh Fatehi

“…The SOC changes were simulated using multivariate analysis and machine learning methods including generalized linear model (GLM), linear additive model (LAM), cubist, random forest (RF), and support vector machine (SVM) models. …”
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Heterogeneity and imbalance of water supply and demand under climate change and human activities in the Beibu Gulf region, China by Liqing Wu, Haiqin Nong, Jinlong Chang, Xianwei Song

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A Comparative Analysis of Artificial Intelligence Techniques for Single Open-Circuit Fault Detection in a Packed E-Cell Inverter by Bushra Masri, Hiba Al Sheikh, Nabil Karami, Hadi Y. Kanaan, Nazih Moubayed

“…Two promising strategies are considered: Random Forest Decision Tree (RFDT) and Feed-Forward Neural Network (FFNN). …”
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Analysis and Prediction of Grouting Reinforcement Performance of Broken Rock Considering Joint Morphology Characteristics by Guanglin Liang, Linchong Huang, Chengyong Cao

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Integrating Multi-Source Data to Explore Spatiotemporal Dynamics and Future Scenarios of Arid Urban Agglomerations: A Geodetector–PLUS Modelling Framework for Sustainable Land Use... by Lu Gan, Ümüt Halik, Lei Shi, Jiayu Ru, Zhicheng Wei, Jinye Li, Martin Welp

“…Grassland will increase most notably under the EP scenario, built-up land will expand, especially under the ED scenario, and cropland will also grow, mainly under the EP scenario. Forest and water areas will show slight decreases with minimal fluctuations. …”
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Biodiagnostics of stability of soils of southern Russia to silver pollution by S. I. Kolesnikov, N. I. Tsepina, Т. V. Minnikova, L. V. Sudina, К. Sh. Kazeev

“…The contamination of soils in southern Russia (ordinary chernozem, grey sandy and brown forest soils) was simulated with silver under laboratory conditions. …”
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A Particle Swarm Optimization-Based Ensemble Broad Learning System for Intelligent Fault Diagnosis in Safety-Critical Energy Systems with High-Dimensional Small Samples by Jiasheng Yan, Yang Sui, Tao Dai

“…Finally, the model is validated through simulated data from a complex nuclear power plant (NPP). …”
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Proactive detection of cyber-physical grid attacks: A pre-attack phase identification and analysis using anomaly-based machine learning models by Shaharier Kabir, Nasif Hannan, Abu Shufian, Md Saniat Rahman Zishan

“…Several unsupervised learning algorithms were applied to time series data simulating normal operations and attack scenarios. Models include Isolation Forest, K-Means Clustering, DBSCAN, and One-Class SVM. …”
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Chasing the Beginning of Reionization in the JWST Era by Christopher Cain, Garett Lopez, Anson D’Aloisio, Julian B. Muñoz, Rolf A. Jansen, Rogier A. Windhorst, Nakul Gangolli

“…Under observationally motivated assumptions about escape fractions, these suggest a z  ~ 8–9 end to reionization, in tension with the z  < 6 end required by the Ly α forest. In this work, we use radiative transfer simulations to understand what different observations tell us about when reionization ended and when it started. …”
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Crop choice advisory for the West African Sudan Savanna based on soil type and presowing rainfall forecasts: A machine learning residual model approach by Toshichika Iizumi, Kohtaro Iseki, Kenta Ikazaki, Toru Sakai, Shintaro Kobayashi, Benoit Joseph Batieno

“…Here, we present a modification of a process model simulation performed using a machine learning residual model trained to predict the error in the process model-simulated yields, relative to field experimental data, from growing conditions. …”
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Characterization and ecological risk assessment of toxic metals in mangrove sediments near Langen Village in Tieshan Bay of Beibu Gulf, China by Lu Qiongqiong, Duan Gaoqi, Liu Fengping, Zheng Yinan, Chang Yuhu, Ding Zhenyu, Zhang Yankun, Hu Hongxia

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