Groundwater fluoride modeling using an artificial neural network: a review by Neeta Kumari, Gaurav Kumar, Saahil Hembrom

“…Groundwater fluoride can also be modeled using logistic regression (LR), random forest (RF), Monte Carlo simulation (MCS), artificial neural network (ANN), support vector machine (SVM), gradient boosting (XGBoost), and Classification and Regression tree (CART) methods. …”
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Optimal control strategies for dynamical model of climate change under real data by Fatmawati Fatmawati, Faishal F. Herdicho, Nurina Fitriani, Norma Alias, Mazlan Hashim, Olumuyiwa J. Peter

“…The interplay between CO$_2$ levels, forest biomass, and temperature highlights how important it is to conserve these vital ecosystems in order to effectively combat climate change. …”
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A Multi-Model Machine Learning Framework for Identifying Raloxifene as a Novel RNA Polymerase Inhibitor from FDA-Approved Drugs by Nhung Thi Hong Van, Minh Tuan Nguyen

“…We developed a multi-model machine learning framework combining five traditional algorithms (ExtraTreesClassifier, RandomForestClassifier, LGBMClassifier, BernoulliNB, and BaggingClassifier) with a CNN deep learning model to identify potential RdRP inhibitors among FDA-approved drugs. …”
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Identificação de áreas hidrologicamente sensíveis por meio de modelagem hidrológica e da distribuição espacial de solos e vegetação em ambientes hidromórficos / Identifying hydrolo... by Cesar Augusto Crovador Siefert, Irani dos Santos

“…TOPMODEL was used to simulate the rainfall-runoff process on a daily scale from 08/01/1993 to 11/30/2010. …”
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Risk Assessment of Dynamic Diffusion of Urban Non-Point Source Pollution Under Extreme Rainfall by Ting Wen, Chuanxun Li, Jiawen Liu, Peng Wang

“…In view of the shortcomings of dynamic diffusion simulations of mesoscale pollution, this paper proposes a simulation framework based on cellular automata, GIS geographic technology, and a two-dimensional shallow water model. …”
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Drought frequency, intensity, and exposure have increased due to historical land use and land cover changes by Tao Tang, Jun Ge, Haiyun Shi, Lin Wang, Junji Cao, Xuhui Lee

“…Owing to their increasing frequency and prolonged duration, populations, croplands and forests are increasingly exposed to drought events, which poses serious potential impacts on human health, agriculture, and forest ecosystems. …”
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An Adaptive Wireless Droop Control with Adaptive Virtual Resistance for Power Sharing Management in MTDC Grid by Hasan Alrajhi , Ahmed Al-Zahrani , Syed A. Raza , Fahad Al-Shareef 

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Greenhouse gas mitigation on croplands: clarifying the debate on knowns, unknowns and risks to move forward with effective management interventions by Emily E. Oldfield, Jocelyn M. Lavallee, Jennifer Blesh, Mark A. Bradford, Micah Cameron-Harp, M. Francesca Cotrufo, Alison J. Eagle, Lisa Eash, Rebecca J. Even, Sara E. Kuebbing, Eric A. Kort, Tyler J. Lark, Catharina Latka, Yang Lin, Megan B. Machmuller, Brendan O’Neill, Anna M. Raffeld, Taniya RoyChowdhury, Joseph Rudek, Jonathan Sanderman, Christine D. Sprunger, Theodore P. Toombs, Nazli Uludere Aragon, Marti Vidal, Dominic Woolf, Tamara J. Zelikova, Doria R. Gordon

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Impacts of LULC changes on runoff from rivers through a coupled SWAT and BiLSTM model: A case study in Zhanghe River Basin, China by Jiawen Liu, Xianqi Zhang, Xiaoyan Wu, Yang Yang, Yupeng Zheng

“…The findings revealed significant LULC changes from 2002 to 2022, with cropland and grassland areas decreasing while forest and urban land areas increased. The total area of grassland, forest, and cropland made up over 93 % of the basin, indicating active land type conversions. …”
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Fault Diagnosis Method for Main Pump Motor Shielding Sleeve Based on Attention Mechanism and Multi-Source Data Fusion by Nengqing Liu, Xuewei Xiang, Hui Li, Zhi Chen, Peng Jiang

“…To verify the effectiveness of the proposed method, experimental verification was carried out using datasets generated by finite element simulation and a small-scale equivalent prototype. By comparing it to methods such as the one-dimensional convolutional neural network (1D-CNN), Bagging Ensemble Learning, Random Forest, and Support Vector Machine (SVM), it was found that for the simulation data and experimental data, the accuracy of the AM-MSMDF-CNN is 5–10% and 10–15% higher than that of the other methods, demonstrating the superiority of the method proposed in this paper.…”
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PSLDV-Hop: a robust localization algorithm for WSN using PSO and refinement process by Bhupinder Kaur, Deepak Prashar, Arfat Ahmad Khan, Seifedine Kadry, Jungeun Kim

“…In various areas, wireless sensor networks (WSNs) are popular for achieving goals related to security in buildings when there is fire, in military areas to know the position of terrorists in moles and to observe the behavior of animals in forest areas. All these objectives can be achieved only when the position of the sensor is known to the base station, which helps to achieve the appropriate action in unwanted situations. …”
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Sub-District Level Spatiotemporal Changes of Carbon Storage and Driving Factor Analysis: A Case Study in Beijing by Yirui Zhang, Shouhang Du, Linye Zhu, Tianzhuo Guo, Xuesong Zhao, Junting Guo

“…Moreover, it enables the simulation and prediction of land use and carbon storage changes in Beijing from 2025 to 2040 under various scenarios. …”
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Assessment of interactions between defoliation and Phytophthora plurivora stem infections of birch seedlings by Tomasz Oszako, Dzmitry Voitka, Miłosz Tkaczyk, Nenad Keča, Lassaâd Belbahri, Justyna A. Nowakowska

“…Silver birch, (Betula pendula), is an important forest tree species in Poland used for afforestation in rural areas and planted in wet forest types to ameliorate excess water. …”
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Optimizing fuel break management for core habitat protection against wildfires in the northern Great Basin by Dung Nguyen, Yu Wei, Erin J. Belval, Jesse D. Young, Christopher D. O'Connor, Christopher J. Dunn, David E. Calkin

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Generalizing Tree–Level Sap Flow Across the European Continent by Ralf Loritz, Chen Huan Wu, Daniel Klotz, Martin Gauch, Frederik Kratzert, Maoya Bassiouni

“…Abstract Sap flow offers key insights about transpiration dynamics and forest‐climate interactions. Accurately simulating sap flow remains challenging due to measurement uncertainties and interactions between global and local environmental controls. …”
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Internal response of vegetation growth to degrees of permafrost degradation in Northeast China from 2001 to 2020 by Hong Yang, Yanqiu Xing, Xiaoqing Chang, Jiaqi Wang, Yuanxin Li, Jie Tang, Dejun Wang

“…Based on the top temperature of permafrost (TTOP) model, we simulated the spatial distribution of permafrost in Northeast China (NEC) from 2001 to 2020. …”
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Sediment Yield Modeling and Mapping of the Spatial Distribution of Soil Erosion-Prone Areas by Chala Hailu Sime, Wondmagegn Taye Abebe

“…The SWAT model sediment simulation performance is evaluated using the coefficient of determination (R2) and Nash-Sutcliffe Efficiency (NSE). …”
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Implementation of Machine Learning in Flat Die Extrusion of Polymers by Nickolas D. Polychronopoulos, Ioannis Sarris, John Vlachopoulos

“…The dataset was used to train and evaluate the following three powerful machine learning (ML) algorithms: Random Forest (RF), XGBoost, and Support Vector Regression (SVR). …”
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Optimization model: the innovation and future of e-ecotourism for sustainability by Fauziah Eddyono, Dudung Darusman, Ujang Sumarwan, Tutut Sunarminto

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Response of soil erosion to rainfall during different dry periods following drip irrigation by Jinxin Zhang, Jinxin Zhang, Dongdong Zhang, Bin Zhang, Shuyuan Zeng, Zhen Han

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