Large-Scale Maize Condition Mapping to Support Agricultural Risk Management by Edina Birinyi, Dániel Kristóf, Roland Hollós, Zoltán Barcza, Anikó Kern

“…The agreement between the yield category maps and those predicted from the crop condition time series by our Random Forest model was 84.56%, while the F1 score was 0.74 with a two-category yield map. …”
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Comparison of methods for resolving the contributions of local emissions to measured concentrations by T. D. Edwards, Y. K. Wong, C.-H. Jeong, J. M. Wang, Y. Su, G. J. Evans

“…When testing algorithmic predictions of upwind-of-highway backgrounds, we found that regression models surpassed the performance of time-series methods, with best predictions having <span class="inline-formula"><i>R</i>²</span> exceeding 0.8 for all four pollutants. …”
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A world malaria map: Plasmodium falciparum endemicity in 2007. by Simon I Hay, Carlos A Guerra, Peter W Gething, Anand P Patil, Andrew J Tatem, Abdisalan M Noor, Caroline W Kabaria, Bui H Manh, Iqbal R F Elyazar, Simon Brooker, David L Smith, Rana A Moyeed, Robert W Snow

“…Of these, 7,953 passed strict data fidelity tests for inclusion into a global database of PfPR data, age-standardized to 2-10 y for endemicity mapping. A model-based geostatistical procedure was used to create a continuous surface of malaria endemicity within previously defined stable spatial limits of P. falciparum transmission. …”
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Error-Mask-Adaptive Dynamic Filtering for Image Inpainting by Keunsoo Ko, Seunggyun Woo, Chang-Su Kim

“…In an EMDF layer, we determine a spatially varying filter adaptively according to an error mask and perform separable dynamic filtering. …”
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Exploring replay by Georgy Antonov, Peter Dayan

“…Here, we extend an influential theory of hippocampal replay and examine its potential role in approximately optimal exploration, deriving testable predictions for the patterns of exploratory replay choices in a paradigmatic spatial navigation task. …”
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Influence of soundtrack on eye movements during video exploration by Antoine Coutrot, Nathalie Guyader, Gelu Ionescu, Alice Caplier

“…Models of visual attention rely on visual features such as orientation, intensity or motion to predict which regions of complex scenes attract the gaze of observers. …”
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Monitoring soil salinization in Arid cotton fields using Unmanned Aerial Vehicle hyperspectral imagery by Jinming Zhang, Jianli Ding, Jiao Tan, Jinjie Wang, Zihan Zhang, Zeyuan Wang, Xiangyu Ge

“…The results indicate: (1) SG smoothing and FOD technology effectively enhanced the spectral characteristics of cotton field soils and crop canopies. (2) The soil salinity prediction model constructed using 0.7-order FOD combined with the BOSS algorithm yields the best performance, with an R2 of 0.92, RMSE of 0.15 dS m−1, and RPD of 3.54 on the test set. (3) The soil salinity distribution map generated from the optimal model clearly revealed the spatial distribution characteristics of salinity in the 0–10 cm topsoil layer, with significant differences observed under different cover conditions. …”
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Cities as Organisms: Allometric Scaling of Urban Road Networks by Horacio Samaniego, Melanie E. Moses

“…Per capita road capacity is independent of the spatial extent of cities. Driving distances do depend on the size of the city, although not as much as is predicted by a completely centralized model. …”
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Trajectory privacy protection scheme based on differential privacy by Si CHEN, Anmin FU, Mang SU, Huaijiang SUN

“…To solve the problem that the current sampling mechanism and data obfuscation method may raise insufficient data availability and privacy protection, a trajectory privacy protection scheme based on differential privacy was proposed.A new efficient sampling model based on time generalization and spatial segmentation was presented, and a k-means clustering algorithm was designed to process sampling data.By employing the differential privacy mechanism, the trajectory data was disturbed to solve the user privacy leaking problem caused by the attacker with powerful background knowledge.Simultaneously, to respond to the error boundary of the query range of pandemic, an effective prediction mechanism was designed to ensure the availability of released public track data.Simulation results demonstrate that compared with the existing trajectory differential privacy protection methods, the proposed scheme has obvious advantages in terms of processing efficiency, privacy protection intensity, and data availability.…”
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Emergent Holographic Forces from Tensor Networks and Criticality by Rahul Sahay, Mikhail D. Lukin, Jordan Cotler

“…The AdS/CFT correspondence stipulates a duality between conformal field theories and certain theories of quantum gravity in one higher spatial dimension. However, probing this conjecture on contemporary classical or quantum computers is challenging. …”
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Hemodynamic predictors of rupture in abdominal aortic aneurysms: a case series using computational fluid dynamics by Kiyoon Moon, Yosep Lee, Junseong Lee, Youngki Son, Youngje Woo, Eunju Jang, Sangseob Yun, Suncheol Park, Jangyong Kim

“…ECAP demonstrated the highest spatial specificity for rupture. Overlay models revealed that ILT-prone zones corresponded with high-RRT regions and often co-localized with rupture sites.ConclusionsCFD-derived hemodynamic parameters, particularly ECAP was spatially correlated with AAA rupture sites. …”
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LCC-Net: Swin transformer-CNN hybrid for enhanced land cover classification in natural disaster monitoring by P. Shailaja, Pala Mahesh Kumar, Nalla Nikhitha, Kunta Neeraj Kumar Reddy, Enthala Mukesh Reddy, Goli Ganesh Reddy, Vadde Indu

“…The core of LCC-Net employs the Swin Transformer Convolutional Neural Network (ST-CNN), which leverages self-attention mechanisms to capture intricate spatial features and temporal dynamics. The ST-CNN outperforms traditional CNN models by providing a better contextual understanding of land cover variations associated with different disaster scenarios. …”
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Strata pressure behavior law and regional-level intelligent early warning for high-intensity mining in extended working faces of medium-thick coal seams in Yuheng mining area by Feng CUI, Cheng ZONG, Xingping LAI, Tao XIE, Yunhu BAI, Yi ZHANG, Chong JIA, Hao WANG, Zhong LUO, Hao LIU

“…Compared with multiple models based on the attention mechanism, the PatchTST model can achieve the lowest prediction error. …”
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Water Quality in the Ma’an Archipelago Marine Special Protected Area: Remote Sensing Inversion Based on Machine Learning by Zhixin Wang, Zhenqi Zhang, Hailong Li, Hong Jiang, Lifei Zhuo, Huiwen Cai, Chao Chen, Sheng Zhao

“…The results indicated that the random forest model could reliably predict Chl-a, phosphate, and DIN concentrations in the MMSPA. …”
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Distributed surface mass balance of an avalanche-fed glacier by M. Kneib, M. Kneib, A. Dehecq, A. Gilbert, A. Basset, E. S. Miles, E. S. Miles, G. Jouvet, B. Jourdain, E. Ducasse, L. Beraud, A. Rabatel, J. Mouginot, G. Carcanade, O. Laarman, F. Brun, D. Six

“…</mo><mspace linebreak="nobreak" width="0.125em"/><msup><mi mathvariant="normal">yr</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="52pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="e0918f6438cbe876de2794196580ddad"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="tc-18-5965-2024-ie00001.svg" width="52pt" height="15pt" src="tc-18-5965-2024-ie00001.png"/></svg:svg></span></span> for the 11-year average). The detected spatial variability in surface mass balance is consistent between the modelling approaches and much higher than what is predicted from an enhanced-temperature-index model calibrated with measurements from a dense network of stakes. …”
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BiLSTM- and GNN-Based Spatiotemporal Traffic Flow Forecasting with Correlated Weather Data by Abdullah Alourani, Farzeen Ashfaq, N. Z. Jhanjhi, Navid Ali Khan

“…Attention modules are added to the GNN and BLSTM to find high-impact attention weight values for the chosen road section. Our model offers the best prediction accuracy with a mean absolute percentage error of 5.21% and a root mean squared error of 4. …”
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A novel approach for joint indoor localization and activity recognition using a hybrid CNN-GRU and MRF framework. by Sarmad Sohaib, Syed Mohsin Bokhari, Muhammad Shafi, Anas Alhashmi

“…The CNN-GRU successfully captures spatial and temporal dependencies, while the MRF models the mutual relations of activities and locations by estimating their joint probability distribution. …”
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An ensemble machine learning bioavailable strontium isoscape for Eastern Canada by Mael Le Corre, Felipe Dargent, Vaughan Grimes, Joshua Wright, Steeve D. Côté, Megan S. Reich, Jean-Noël Candau, Marrissa Miller, Brent Holmes, Clement P. Bataille, Kate Britton

“…Adding local bioavailable 87Sr/86Sr to a global dataset significantly improved the model prediction with a drastic increase of predicted 87Sr/86Sr and increased spatial uncertainty in the northern Canadian craton. …”
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Locust dynamics: behavioral phase change and swarming. by Chad M Topaz, Maria R D'Orsogna, Leah Edelstein-Keshet, Andrew J Bernoff

“…Specifically, we construct a partial integrodifferential equation model incorporating the interplay between phase change and spatial movement at the individual level in order to predict the dynamics of hopper band formation at the population level. …”
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Exploring the transmission of cognitive task information through optimal brain pathways. by Zhengdong Wang, Yifeixue Yang, Ziyi Huang, Wanyun Zhao, Kaiqiang Su, Hengcheng Zhu, Dazhi Yin

“…This study not only challenges the shortest path assumption through empirical network models but also suggests that cognitive task information routing is constrained by the spatial and functional embedding of the brain network.…”
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