Investigating Catching Hotspots of Fishing Boats: A Framework Using BeiDou Big Data and Deep Learning Algorithms by Fen Wang, Xingyu Liu, Tanxue Chen, Hongxiang Feng, Qin Lin

“…Spatial analysis revealed significant policy-driven reductions in fishing intensity during the moratorium (May–August), with hotspot areas suppressed to sporadic coastal distributions. …”
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Spatiotemporal dynamics of the water footprint and virtual water trade in global cotton production and trade by Betelhem W. Demeke, Lokendra S. Rathore, Mesfin M. Mekonnen, Wenfeng Liu

“…This global study addressed these gaps by examining both the spatial and temporal variability of cotton's water footprint and assessing the unsustainable water footprint over time. …”
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Assessment of hydrological loading displacement from GNSS and GRACE data using deep learning algorithms by Changshou Wei, Maosheng Zhou, Zhixing Du, Lijing Han, Hao Gao

“…Furthermore, the development of TWLD model that integrates GRACE and GNSS data provides valuable data support for the higher-precision inversion of changes in terrestrial water storage.…”
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Data-Driven Simulation of Pedestrian Movement with Artificial Neural Network by Weili Wang, Jiayu Rong, Qinqin Fan, Jingjing Zhang, Xin Han, Beihua Cong

“…This paper presents a pedestrian movement simulation model based on the artificial neural network, in which two submodels are, respectively, used to predict velocity displacement and velocity direction angle at each time step. …”
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iMESc – an interactive machine learning app for environmental sciences by Danilo Cândido Vieira, Danilo Cândido Vieira, Fabiana S. Paula, Luciana Erika Yaginuma, Gustavo Fonseca

“…Finally, a hybrid model combining an unsupervised SOM and followed by the supervised Random Forest model returned an accuracy of 83.47% for the training and 80.77% for the test, with Bathymetry, Chlorophyll, and Coarse Sand as key predictive variables. …”
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Activation of Adenosine Phosphate Signaling Promotes Antitumor Immunity in Tumor Microenvironment and Facilitate Immunotherapy by Yantao Xu, Ying Wang, Zixi Jiang, Yi He, Guowei Zhou, Benliang Wei, Jiachen Liu, Xiang Chen

“…We developed an adenosine phosphate signaling model (APsig) that showed promising prognostic value in melanoma, as well as predictive efficacy of immunotherapy across 1068 tumor samples in 9 independent public cohorts. …”
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An Underground Goaf Locating Framework Based on D-InSAR with Three Different Prior Geological Information Conditions by Kewei Zhang, Yunjia Wang, Feng Zhao, Zhanguo Ma, Guangqian Zou, Teng Wang, Nianbin Zhang, Wenqi Huo, Xinpeng Diao, Dawei Zhou, Zhongwei Shen

“…The quantitative performance results indicate that, (1) under a detailed prior information condition, PIM achieves enhanced dimensional parameter estimation accuracy with 6.9% reduction in maximum relative error; (2) in a moderate prior information condition, both models demonstrate comparable estimation performance; and (3) for a limited prior information condition, ODM exhibits superior parameter estimation capability showing 3.4% decrease in maximum relative error. …”
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Detection of Banana Diseases Based on Landsat-8 Data and Machine Learning by Renata Retkute, Kathleen S. Crew, John E. Thomas, Christopher A. Gilligan

“…We used a pixel-level random forest (RF) model to predict 11 key vegetation indices (VIs) as a function of historical meteorological conditions, specifically daytime and nighttime temperature from MODIS and precipitation from NASA GES DISC. …”
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Oscillatory Forward-Looking Sonar Based 3D Reconstruction Method for Autonomous Underwater Vehicle Obstacle Avoidance by Hui Zhi, Zhixin Zhou, Haiteng Wu, Zheng Chen, Shaohua Tian, Yujiong Zhang, Yongwei Ruan

“…Furthermore, the method is integrated with the Ego-Planner path planning algorithm and nonlinear Model Predictive Control (MPC) algorithm, creating a comprehensive underwater 3D perception, planning, and control system. …”
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Cross-border mangrove dynamics and management in the Beibu Gulf: Long-term remote sensing observation using object-oriented deep learning by Wenna Gao, Chunyan Lu, Nuocheng Yang, Yuqi Wu, Kexin Wu, Zhangjuan Chen

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Spatiotemporal variations of water levels and river-lake interaction in the Poyang Lake basin under the extreme drought by Hexiang Chen, Guangqiu Jin, Hongwu Tang, Jinran Wu, You-Gan Wang, Zhongtian Zhang, Yanqing Deng, Siyi Zhang

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Bayesian integration of information in hippocampal place cells. by Tamas Madl, Stan Franklin, Ke Chen, Daniela Montaldi, Robert Trappl

“…Our results suggest that useful predictions regarding the firing fields of place cells can be made based on a single underlying principle, Bayesian cue integration, and that such predictions are possible using a remarkably small number of model parameters.…”
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Photoacoustic effect in micro- and nanostructures: numerical simulations of Lagrange equations by O. G. Romanov, Ya. K. Shtykov, I. A. Timoshchenko

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Simulation analysis of stress-strain performance for a lightweight X-ray pulsar detection telescope frame structure by Qingyong Zhou, Qingyong Zhou, Zhiqiang Huang, Bin Xu, Yaohu Lei, Jianguo Lei, Hang Zhao, Chaojing Ye, Likuan Zhu

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Role of hydraulic residence time in shaping phytoplankton community assembly in the upper yellow river cascade reservoirs by Qiyong Luo, Qiyong Luo, Linyu Zhu, Daikui Li, Zhigang Zu, Zhigang Zu, Kebin Chen, Jia Wang, Yujun Yi, Yujun Yi, Yujun Yi

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Impact of Subjective and Objective Green Space Characteristics on Mental Health Benefits: An Explainable Machine Learning Approach by Ke LI, Yipei MAO, Yongjun LI

“…Based on the SHAP values, the non-linear relationships between them are further clarified.ResultsThrough the analysis of 3 types of mental health benefits and 5 models, the LightGBM model outperforms other algorithms (such as Random Forest and XGBoost) in terms of prediction accuracy (R 2: 0.523 – 0.642), with its robustness in capturing complex feature interactions being verified. …”
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Spatio-Temporal Travel Speed Estimation in Mixed Traffic Conditions: A Probe Vehicle-Based Approach With Autonomous Vehicle Sensor Integration by Hyungjoo Kim, Seongeun Na, Jongho Kim, Sangsoo Lee, Jiho Yeo

“…Future research directions include integrating vehicle-to-everything (V2X) communication and machine learning models to further refine estimation accuracy and predictive capabilities in dynamic urban mobility environments.…”
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Integrating UAV and Landsat data: A two-scale approach to topsoil moisture mapping in coastal wetlands by Ricardo Martínez Prentice, Miguel Villoslada, Raymond D. Ward, Kalev Sepp

“…These maps were aggregated to train and test XGBoost models using Landsat-derived predictors.While UAV data captured fine-scale SSM variability, Landsat-based predictions provided consistency at lower spatial scales (30 m of spatial resolution from Collection-2 Level-2), with RMSE values below 10 %. …”
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Insights into Conjugate Hemispheric Ionospheric Disturbances Associated with the Beirut Port Explosion on 4 August 2020 Using Multi Low-Earth-Orbit Satellites by Adel Fathy, Yuichi Otsuka, Essam Ghamry, Dedalo Marchetti, Rezy Pradipta, Ahmed I. Saad Farid, Mohamed Freeshah

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Global trends, health inequalities, and projections in the burden of neglected tropical diseases and malaria from 1990 to 2021 by Yang Lin, Qipeng Long, Jihong Sun, Jialian Li, Yang Li, Jin Liu, Yiming Zhang, Yufei Wang, Shulong Jiang

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