Deep Learning-Based Atmospheric Visibility Detection by Yawei Qu, Yuxin Fang, Shengxuan Ji, Cheng Yuan, Hao Wu, Shengbo Zhu, Haoran Qin, Fan Que

“…This paper systematically reviews the applications of various deep learning models—Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), and Transformer networks—in visibility estimation, prediction, and enhancement. …”
Get full text

Study on the Shock Wave Characteristics of Spherical and Cylindrical Explosives in Near-field Underwater Explosion by J. Yu, X. P. Zhang, J. Wang, Y. Hao, H. B. Mao

“…Therefore, precise prediction of shockwave loading characteristics for various charge shapes during underwater explosions is critical. …”
Get full text

Surface Multi-Hazard Effects of Underground Coal Mining in Mountainous Regions by Xuwen Tian, Xin Yao, Zhenkai Zhou, Tao Tao

“…Additionally, the subsidence continued even after coal mining operations concluded. Predictions derived from the logistic model indicate that the duration of residual surface subsidence in the study area is approximately 1 to 2 years. …”
Get full text

Classification of benign and malignant solid breast lesions on the ultrasound images based on the textural features: the importance of the perifocal lesion area by А.А. Kolchev, D.V. Pasynkov, I.A. Egoshin, I.V. Kliouchkin, О.О. Pasynkova

Get full text

Hyperspectral Reconstruction Method Based on Global Gradient Information and Local Low-Rank Priors by Chipeng Cao, Jie Li, Pan Wang, Weiqiang Jin, Runrun Zou, Chun Qi

“…First, to improve the prior model’s efficiency in utilizing information of different frequencies, we design a gradient sampling strategy and training framework based on decision trees, leveraging changes in the loss function gradient information to enhance the model’s predictive capability for data of varying frequencies. …”
Get full text

A Spatiotemporal Attention-Guided Graph Neural Network for Precise Hyperspectral Estimation of Corn Nitrogen Content by Feiyu Lu, Boming Zhang, Yifei Hou, Xiao Xiong, Chaoran Dong, Wenbo Lu, Liangxue Li, Chunli Lv

“…A hyperspectral maize nitrogen content prediction model is proposed, integrating a dynamic spectral–spatiotemporal attention mechanism with a graph neural network, with the aim of enhancing the accuracy and stability of nitrogen estimation. …”
Get full text

Automated Detection of Center-Pivot Irrigation Systems from Remote Sensing Imagery Using Deep Learning by Aliasghar Bazrafkan, James Kim, Rob Proulx, Zhulu Lin

“…YOLOv11, using Landsat 8 panchromatic data, achieved the highest detection accuracy (precision: 0.98; recall: 0.91; and F1-score: 0.94) among all tested datasets and models. Spatial autocorrelation and hotspot analysis revealed systematic prediction errors, suggesting a need to adjust training data regionally. …”
Get full text

Mapping soil organic carbon stocks of different land use types in the Southern Moscow region by applying machine learning to legacy data by Yury A. Dvornikov, Lukyan A. Mirniy, Ekaterina S. Mukvich, Kristina V. Ivashchenko

“…The root mean square error of cross-validation (RMSEcv = 0.67 kg/m2) was chosen to describe the uncertainty of soil organic carbon stock prediction. According to the model, the total soil organic carbon stocks in the upper 10 cm soil layer of the Podolsky District were 2.65 0.72 Tg, for the Serpukhovsky District 2.77 0.73 Tg.…”
Get full text

Snow drought to hydrologic drought progression using machine learning and probabilistic analysis by Pouya Moghaddasi, Keyhan Gavahi, Hamid Moradkhani

“…This study explores the relationship between Snow Water Equivalent (SWE) and streamflow in snow-dominated watersheds using the Long Short-Term Memory (LSTM) model and probabilistic analysis. While LSTM model is typically used for prediction, we employed it primarily to understand how snow affects streamflow. …”
Get full text

The mean and extreme tropical cyclone wave climate throughout the Coral Sea, from 1979 to 2020 by John G. Miller, Guilherme Vieira da Silva, Darrell Strauss

“…An available WAVEWATCH III® hindcast model dataset with surface wind forcing from the National Centres for Environmental Prediction supplied Climate Forecasts System Version 2 was used. …”
Get full text

Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenari... by Cecilia Parracciani, Daniela Gigante, Onisimo Mutanga, Stefania Bonafoni, Marco Vizzari

“…The forecasting method along with the selection of spatial drivers to predict land cover change, demonstrated high efficiency compared to other studies. …”
Get full text

Large errors in soil carbon measurements attributed to inconsistent sample processing by R. J. Even, M. B. Machmuller, M. B. Machmuller, J. M. Lavallee, J. M. Lavallee, T. J. Zelikova, T. J. Zelikova, M. F. Cotrufo, M. F. Cotrufo

“…Moreover, we show promising results using FTIR spectroscopy coupled with predictive modeling for estimating % TC, % SIC, and % SOC in regions where spectral libraries exist.…”
Get full text

Lithologically constrained velocity–density relationships and vertical stress gradients in the North Alpine Foreland Basin, SE Germany by P. Obermeier, F. Duschl, M. C. Drews

“…The same is true for the distribution of vertical stress gradients, a key input parameter for geomechanical modelling and the prediction of natural and induced seismicity. …”
Get full text

Presenting the Physical Pattern of Today's Housing by Taking Advantage of the Desirable Qualities of Historical Houses (Case Study: Kerman City) by Amjad Bahredar, Ramin Madani, Mohsen Afshari

Get full text

The Spatiotemporal Variations Characteristics of Precipitation in the Ailao Mountain Area during 2000 -2020 based on Geographical Weighted Regression Downscaling Method by Hong WANG, Qiaoshun YAN, Zujun ZHAO, Daxiang CHEN, Zhiming ZHANG

Get full text

Wi-FiAG: Fine-Grained Abnormal Gait Recognition via CNN-BiGRU with Attention Mechanism from Wi-Fi CSI by Anming Dong, Jiahao Zhang, Wendong Xu, Jia Jia, Shanshan Yun, Jiguo Yu

Get full text

Hydrological Ecosystem Service Assessment Projections in Karst Regions under Future Climate and Land Use Change by Niu Shuai, Yecui Hu, Yuping Bai, Ke Xu, Rong Wang

“…Based on this, this study takes a typical karst region as the study area, and based on the shared socioeconomic pathway (SSP) and representative concentration pathway (RCP) scenarios, the system dynamics (SD) model and the patch-generation land use model (PLUS) are used to simulate the future land use changes, and the spatial and temporal dynamics of the key HESs, such as water yield (WY), soil conservation (SC), and water purification (WP), are assessed. …”
Get full text

Anomaly Detection in Spatiotemporal Data from Fiber Optic Distributed Temperature Sensing for Outdoor Fire Monitoring by Haitao Bian, Xiaohan Luo, Zhichao Zhu, Xiaowei Zang, Yu Tian

“…Results showed that, compared to AE and VAE models handling spatial or temporal data, the CNN-AE demonstrated superior anomaly detection performance and strong robustness when applied to spatiotemporal data. …”
Get full text

RHS-YOLOv8: A Lightweight Underwater Small Object Detection Algorithm Based on Improved YOLOv8 by Yifan Wei, Jun Tao, Wenjun Wu, Donghua Yuan, Shunzhi Hou

“…Third, Efficient Localization Attention (ELA) is added to reduce the interference of irrelevant factors on prediction. Fourth, an Involution module is introduced to effectively capture spatial long-range relationships and improve recognition accuracy. …”
Get full text

Biodiversity characteristics of large forest plots in Qinghai area of Qilian Mountain National Park by WANG Dinghui, SUONAN Cairang, YU Hongyan, DU Yangong

“…This indicated that the model had a high explanatory power and prediction accuracy for the Shannon-Wiener data. …”
Get full text