Assessing climate risks from satellite imagery with machine learning: A case study of flood risks in Jakarta by Jeasurk Yang, Donghyun Ahn, Junbeom Bahk, Sungwon Park, Nurrokhmah Rizqihandari, Meeyoung Cha

“…Results confirm that our model can assess climate risks in a granular scale and further capture potential risks in the marginalized areas (e.g., slums) that were previously hard to predict. …”
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Gaze Estimation Based on a Multi-Stream Adaptive Feature Fusion Network by Changli Li, Enrui Tong, Kao Zhang, Nenglun Cheng, Zhongyuan Lai, Zhigeng Pan

“…The concatenated high-dimensional and fused low-dimensional features are processed through fully connected layers to predict the final gaze direction. Extensive experiments on the EYEDIAP, MPIIFaceGaze, and Gaze360 datasets validate the superiority of the proposed method.…”
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Using electro-inductive sensor to trace moving and non-moving objects tracked by S. S. Kolmogorova, S. V. Biryukov

“…The research carries out a spatial model of path tracking using the dynamic parameters of the object's position, as well as the path of motion of electric field source. …”
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Investigation of the dynamic charge transport behaviours under electron beam irradiation of advanced insulation materials for aerospace applications by Guangyu Sun, Xiong Yang, Wentong An, Kun Huang, Xiaogang Qin, Baipeng Song, Guanjun Zhang

“…The model reveals the spatial–temporal evolutions of the current, charge density, and electric field distribution. …”
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Estimating the impact of interventions against COVID-19: From lockdown to vaccination. by James Thompson, Stephen Wattam

“…Our model predicts far fewer cases and deaths than the equivalent equation-based SEIR model. …”
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Pan-cancer analysis uncovered the prognostic and therapeutic value of disulfidptosis by Yiwei Zhang, Zihua Li, Hengli Lu, Zongrui Jiang, Yixian Song, Zhanhui Ye, Chenzheng Gu, Kequan Chen, Anquan Shang

“…The nomogram based on the DRGs Score model could accurately predict the prognosis of patients with pan-cancer. …”
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Tier‐1 and Tier‐2A Scenario Parameterisation and Example Calculations ‐ In Support of the Revision of the Guidance Document on Persistence in Soil under Council Directive 91/414/EE... by European Food Safety Authority

“…The aim of this scheme is to assess such Predicted Environmental Concentrations (PEC), chosen to be the 90th spatial percentile, resulting from the use of the plant protection product. …”
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Evolution Law of Longitudinal Deformation Curve and Release Coefficient of Viscoelastic Rock by WANG Jiachen, MENG Lingzan, ZHANG Dingli, LU Song, WEN Ming

“…Empirical formulas are fitted for the longitudinal deformation curve, including time, spatial, and spatiotemporal factors. The research conclusion can provide a more convenient method for predicting the deformation of soft rock tunnels.…”
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Estimates of Effective Number of Breeders Identify Drivers of Decline in Mid‐Atlantic Brook Trout Populations by Zachary L. Robinson, Jason A. Coombs, Mark Hudy, Keith H. Nislow, Andrew R. Whiteley

“…Our results are consistent with presently observed and predicted future impacts of climate change on populations of this cold‐water fish. …”
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A novel fusion of Sentinel-1 and Sentinel-2 with climate data for crop phenology estimation using Machine Learning by Shahab Aldin Shojaeezadeh, Abdelrazek Elnashar, Tobias Karl David Weber

“…The spatio-temporal analysis of the model predictions demonstrates its transferability across different spatial and temporal context of Germany. …”
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Study of Shale Gas Source Rock S-Wave Structure Characteristics via Dense Array Ambient Noise Tomography in Zhangjiakou, China by Si Chen, Zhanwu Lu, Haiyan Wang, Qingyu Wu, Wei Cai, Guowei Wu, Guangwen Wang

“…Employing a binary stratigraphic model, the study predicted shale content based on the velocity structure, with predictions exhibiting a moderate correlation (correlation coefficient of 0.58) with empirical data. …”
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Explainable artificial intelligence with temporal convolutional networks for adverse weather condition detection in driverless vehicles by Samah Alzanin

“…The CapsNet model is employed for feature extraction to recognize spatial hierarchies and capture intricate patterns from complex visual data. …”
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Ecological network construction and land degradation risk identification in the Yellow River source area by Haoxiang Zhang, Qian Song, Shiru Wang, Jianyun Zhao, Wenming Gao

“…Based on ordered weighted average operator, morphological spatial pattern analysis, ecological sensitivity, circuit theory, CA-Markov model, kernel density analysis, and other methods, this study aims to consider the positive and negative connections of the network thus constructing the ecological and risk network and predicting the potential risk areas in the future. …”
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Investigation on the early pressure load characteristics of bubbles in near-field underwater explosion with condensed-phase CL-20 explosive detonation by Yi Hao, Zhenxin Sheng, Bo Yan, Teng Xie, Lunping Zhang, Haibin Mao, Jun Yu

“…Validation against 1D detonation wave tests confirms the accuracy of our burn model. Numerical simulations of cylindrical and spherical CL-20 charges under near-field conditions show good agreement with the experimental data, highlighting the model’s precision in predicting shock wave propagation and interface motion. …”
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Study on the Risk of Urban Population Exposure to Waterlogging in Huang-Huai Area Based on Machine Learning Simulation Analysis—A Case Study of Xuzhou Urban Area by Shuai Tong, Jiuxin Wang, Jiahui Qin, Xiang Ji, Zihan Wu

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Enhanced Blood Loss Quantification Using a Novel Multi-Wavelength Imaging Approach by Ara Abigail E. Ambita, Laura T. David, Catherine Sim Co, Prospero C. Naval

“…Lastly, an individualized interpretation for each surgical test gauze is provided, a useful tool to understand how the machine learning model predicts the absorbed blood volume.…”
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Enhancing Clear Radiance Generation for Geostationary Hyperspectral Infrared Sounder Using High Temporal Resolution Information by Di Di, Jun Li, Zhenglong Li, Jing Zheng, Xinya Gong

“…Abstract With high spatio‐temporal resolution geostationary hyperspectral infrared sounder (GeoHIS) observations, monitoring, and predicting rapidly changing weather events are expected to be improved with continuous information of 3D weather cube. …”
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Projecting Large Fires in the Western US With an Interpretable and Accurate Hybrid Machine Learning Method by Fa Li, Qing Zhu, Kunxiaojia Yuan, Fujiang Ji, Arindam Paul, Peng Lee, Volker C. Radeloff, Min Chen

“…Abstract More frequent and widespread large fires are occurring in the western United States (US), yet reliable methods for predicting these fires, particularly with extended lead times and a high spatial resolution, remain challenging. …”
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Adjusting ITE’s Trip Generation Handbook for urban context by Kelly J. Clifton, Kristina M. Currans, Christopher D. Muhs

“…A number of policy-relevant built environment measures were used to estimate a set of nine models predicting an adjustment to ITE trip rates. …”
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Predator occupancy rates in a thinned ponderosa pine forest, Arizona: A pilot study by Kevin J. Barrett, Elizabeth L. Kalies, Carol L. Chambers

“…However, our inability to develop strong models that predicted predator occupancy indicates that higher sample sizes and more habitat covariates are needed. …”
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