Study of the work of modern logging machines in mountain conditions by Glushkov Sergey, Boyadzhiev Dmitryi, Chernykh Aleksander, Popikov Petr, Afonichev Dmitryi, Abramov Vitaliy, Polukarov Dmitryi, Savchenko Konstantin, Zhuzhukin Stanislav

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Watch Your Callback: Offline Anomaly Detection Using Machine Learning in ROS 2 by Jeonghwan Kang, Kyounghwan Kim, Donghyun Kwon

“…We further enhance our evaluation by applying controlled fault injection and data augmentation techniques to simulate both malicious and benign anomalies. In our experiments, we utilize multiple machine learning models, including Isolation Forest, OCSVM, and Autoencoder, to analyze the temporal characteristics of callbacks, focusing on response time and invocation frequency. …”
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Research on Multidomain Fault Diagnosis of Large Wind Turbines under Complex Environment by Rong Jia, Fuqi Ma, Jian Dang, Guangyi Liu, Huizhi Zhang

“…Finally, the redundant feature vectors are eliminated by the importance of each feature vector which has been calculated, and the feature vectors selected are input to the random forest classifier to achieve the fault diagnosis of large wind turbines. …”
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Trajectory analysis of Mythimna Loreyi migration into Korea using the HYSPLIT model by Juhyeong Han, Sunghoon Baek, Xue-Jing Wang, Chun-Sen Ma, Kwang-Hyung Kim

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Susceptibilidad del suelo a la degradación en parcelas con manejo agroforestal Quesungual en Nicaragua Susceptibility to soil degradation in plots under Quesungual agroforestry man... by Jellín del Carmen Pavón T, Edgar Madero M, Edgar Amézquita C

“…<br>In an andisol tt was placed for three years land uses systems like: farmer traditional (slash and burn, fertilization and sowing of bean and maiz); Quesungual Agroforestry System-SAQ (no burn, natural regeneration of native trees, bean and maiz sowing); crop residues as management cover, and a fi ve years secundary forest (tacotal) as a control. It was considered soil samples at 0-5, 5-10 y 10-20 for physical and fertility characterization and field measurement of soil erosion by rain simulation. …”
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The data dimensionality reduction and bad data detection in the process of smart grid reconstruction through machine learning. by Bo Yu, Zheng Wang, Shangke Liu, Xiaomin Liu, Ruixin Gou

“…Second, based on the isolated Forest (iForest) abnormal score data processing algorithm combined with the Local Linear Embedding (LLE) data dimensionality reduction method, an algorithm for data feature extraction is constructed. …”
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Changing landscape configuration demands ecological planning: Retrospect and prospect for megaherbivores of North Bengal. by Tanoy Mukherjee, Lalit Kumar Sharma, Mukesh Thakur, Goutam Kumar Saha, Kailash Chandra

“…The present result will be useful in guiding the forest management in developing habitat improvement strategies for the long- term viability of megaherbivore populations of rhino, gaur and elephant in the GNP.…”
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Uncovering global risk to human and ecosystem health from pesticides in agricultural surface water using a machine learning approach by Jian Chen, Li Zhao, Bin Wang, Xinyi He, Lei Duan, Gang Yu

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Disentangling the roles of natural variability and climate change in Canada’s 2023 fire season by Clair Barnes, Piyush Jain, Theodore R Keeping, Nathan Gillett, Jonathan Boucher, Philippe Gachon, Dorothy Heinrich, Megan Kirchmeier-Young, Yan Boulanger

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Assessing Physiological Stress Responses in Student Nurses Using Mixed Reality Training by Kamelia Sepanloo, Daniel Shevelev, Young-Jun Son, Shravan Aras, Janine E. Hinton

“…Among the models tested, the Stacking Classifier demonstrated the highest classification accuracy of 96.4%, outperforming both Random Forest (96.18%) and Gradient Boosting (95.35%). The results showed clear patterns of stress during the simulation segments. …”
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Short-term forecasting of solar irradiance using decision tree-based models and non-parametric quantile regression. by Amon Masache, Precious Mdlongwa, Daniel Maposa, Caston Sigauke

“…Introducing the random forests (RFs) model and its hybridisation with quantile regression modelling, the quantile regression random forest (QRRF), can help improve the forecasts' accuracy. …”
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Research Progress Analysis Regarding Rainfall-Runoff Relationships Based on Bibliometrics and Visual Methods by Yi Qi, Wang Ruifang, Dou Xiaodong, Gao Yuting, Wang Changhao, Yang Lu

“…[Results] ① The study of rainfall-runoff relationships has always focused on the relationship between rainfall, infiltration, surface runoff, and erosion, as well as on the simulation of slope runoff. Research methods have included rainfall simulation, mathematical statistical methods, tracer techniques, etc. …”
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An integrated approach for determining the spatial distribution, source apportionment and human health risks of PAHs in soils of rapidly-urbanized areas by Lingzhi Luo, Xiaoyong Liao, Huan Tao, You Li, Liang Wang, Hongying Cao, Yonghua Li, Weiwei Shi, Tianyi Wang

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The Cross-Verification of Different Methods for Soil Erosion Assessment of Natural and Agricultural Low Slopes in the Southern Cis-Ural Region of Russia by Mikhail Komissarov, Valentin Golosov, Andrey Zhidkin, Daria Fomicheva, Alexei Konoplev

“…The conventional measuring methods (runoff plots and soil morphological comparison) and models (WaTEM/SEDEM and regional model of Russian State Hydrological Institute (SHI)) were tested with regard to the Southern Cis-Ural region of Russia, along with data from rainfall simulation for assessing soil erosion. Compared with conventional methods, which require long-running field observations, using erosion models and rainfall simulation is less time-consuming and is found to be fairly accurate for assessing long-term average rates of soil erosion and deposition. …”
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Effects of urbanization on the ephemeral lake flood risks under subtropical humid monsoon climate by Biqing Tian, Chaojun Gu, Hao Jia, Peng Gao, Liping Guo, Xingmin Mu

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Present-day vegetation helps quantifying past land cover in selected regions of the Czech Republic. by Vojtěch Abraham, Veronika Oušková, Petr Kuneš

“…Vegetation proportions of 17 taxa were obtained by combining the CORINE Land Cover map with forest inventories, agricultural statistics and habitat mapping data. …”
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Breast Lesion Detection Using Weakly Dependent Customized Features and Machine Learning Models with Explainable Artificial Intelligence by Simona Moldovanu, Dan Munteanu, Keka C. Biswas, Luminita Moraru

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Formability Studies on Magnesium Based AZ31B Alloy Sheet in LS Dyna Program Code by B. Viswanadhapalli, V.K. Bupesh Raja, K. Chaitanya, S. Kannan

“…Finite element-based simulations have also been carried in LS Dyna program code. …”
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Assessing the Impact of Climate Change on Winter Wheat Production in the North China Plain from 1980 to 2020 by Jinhui Zheng, Shuai Zhang

“…This study uses the Random Forest (RF) algorithm to evaluate the effects of climate change on winter wheat yields in the North China Plain (1980–2020) and assess yield sensitivity to various climate indicators. …”
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Large-scale surveys of the quasar proximity effect by Rupert Croft, Patrick Shaw, Ann-Marsha Alexis, Nianyi Chen, Yihao Zhou, Tiziana Di Matteo, Simeon Bird, Patrick Lachance, Yueying Ni

“…The UV radiation from high redshift quasars causes a local deficit in the neutral hydrogen absorption (Lyman-alpha forest) in their spectra, known as the proximity effect. …”
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