Probabilistic Forecasting of Ground Magnetic Perturbation Spikes at Mid‐Latitude Stations by Michael Coughlan, Amy Keesee, Victor Pinto, Raman Mukundan, José Paulo Marchezi, Jeremiah Johnson, Hyunju Connor, Don Hampton

“…The models were also compared to a persistence model to ensure that the model using both datasets did not over‐rely on dB/dt values in making its predictions. …”
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Monitoring changes of forest height in California by Samuel Favrichon, Jake Lee, Yan Yang, Yan Yang, Ricardo Dalagnol, Ricardo Dalagnol, Fabien Wagner, Le Bienfaiteur Sagang, Le Bienfaiteur Sagang, Sassan Saatchi, Sassan Saatchi, Sassan Saatchi

“…Height showed distinct spatial variations across forest types offering quantitative and spatial information to evaluate forest conditions. …”
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Global estimate of mesopelagic mesozooplankton biomass by Yulia Egorova, Gabriel Reygondeau, William W. L. Cheung, Evgeny A. Pakhomov

“…The results showed that NPP and POC were important predictors of mesopelagic mesozooplankton biomass (MMB). Linear models incorporating these factors were statistically significant, explaining a moderate to high proportion of variance in the predicted MMB. …”
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Studying the Impact of LULC Correspondence Between Landsat 8 and Spot 7 Data on Land Surface Temperature Estimation by Yehia Miky

“…Information about land surface temperature (LST) plays a crucial role in environmental studies, as it provides essential data for understanding climate patterns, assessing ecosystem health, and predicting environmental changes. Understanding the relationship between land cover types and LST is crucial across all disciplines that deal with LST data. …”
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Taxon-Dependent Community Assembly of Bacteria and Protists in River Ecosystems: A Case Study from the Yujiang River by Yusen Li, Wenjian Chen, Yaoquan Han, Jianjun Lei, Bo Huang, Youjie Qin, Feng Lin, Caijin Li, Dapeng Wang, Lei Zhou

“…Understanding the processes that drive microbial community assembly is a fundamental question in ecology, with important implications for predicting community responses to environmental disturbances. …”
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Uncertainties in the effects of organic aerosol coatings on polycyclic aromatic hydrocarbon concentrations and their estimated health effects by S. Lou, S. Lou, S. Lou, M. Shrivastava, A. Albinet, S. Tomaz, S. Tomaz, D. Srivastava, D. Srivastava, O. Favez, H. Shen, A. Ding, A. Ding, A. Ding

“…<p>We used the CAM5 model to examine how different particle-bound polycyclic aromatic hydrocarbon (PAH) degradation approaches affect the spatial distribution of benzo(a)pyrene (BaP). …”
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Understanding the Impact of Street Environments on Traffic Crash Risk from the Perspective of Aging People: An Interpretable Machine Learning Approach by Ketong Shen, Jian Liu, Xintao Liu

“…Specifically, we use segmented street view images to train models that predict crash risk levels based on normalized crash frequencies, with separate models developed for older and non-older populations. …”
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Estimation of nitrogen uptake, biomass, and nitrogen concentration, in cover crop monocultures and mixtures from optical UAV images by Paolo Dal Lago, Nikolaos Vavlas, Lammert Kooistra, Gerlinde B. De Deyn

“…This innovative approach combined vegetation indices, textural features, and a photogrammetry-derived canopy surface model to predict CC traits. Linear models were trained for biomass, N uptake, and C:N predictions, while a K-Nearest-Neighbour model was trained for N concentration. …”
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Earth's future climate and its variability simulated at 9&thinsp;km global resolution by J.-Y. Moon, J.-Y. Moon, J. Streffing, J. Streffing, J. Streffing, S.-S. Lee, S.-S. Lee, T. Semmler, T. Semmler, M. Andrés-Martínez, M. Andrés-Martínez, J. Chen, E.-B. Cho, E.-B. Cho, J.-E. Chu, C. L. E. Franzke, C. L. E. Franzke, J. P. Gärtner, R. Ghosh, J. Hegewald, J. Hegewald, S. Hong, D.-W. Kim, D.-W. Kim, N. Koldunov, J.-Y. Lee, J.-Y. Lee, Z. Lin, C. Liu, S. N. Loza, W. Park, W. Park, W. Roh, W. Roh, D. V. Sein, D. V. Sein, D. V. Sein, S. Sharma, S. Sharma, D. Sidorenko, J.-H. Son, J.-H. Son, J.-H. Son, M. F. Stuecker, Q. Wang, G. Yi, G. Yi, M. Zapponini, T. Jung, T. Jung, A. Timmermann, A. Timmermann

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Mapping Soil Available Nitrogen Using Crop-Specific Growth Information and Remote Sensing by Xinle Zhang, Yihan Ma, Shinai Ma, Chuan Qin, Yiang Wang, Huanjun Liu, Lu Chen, Xiaomeng Zhu

“…These remote sensing variables were combined with soil sample data, crop type information, and crop growth period data as predictive factors and input into a Random Forest (RF) model optimized using the Optuna hyperparameter tuning algorithm. …”
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Estimating Geographical Variation in the Risk of Zoonotic Plasmodium knowlesi Infection in Countries Eliminating Malaria. by Freya M Shearer, Zhi Huang, Daniel J Weiss, Antoinette Wiebe, Harry S Gibson, Katherine E Battle, David M Pigott, Oliver J Brady, Chaturong Putaporntip, Somchai Jongwutiwes, Yee Ling Lau, Magnus Manske, Roberto Amato, Iqbal R F Elyazar, Indra Vythilingam, Samir Bhatt, Peter W Gething, Balbir Singh, Nick Golding, Simon I Hay, Catherine L Moyes

“…<h4>Methodology/principal findings</h4>A total of 439 records of P. knowlesi infections in humans, macaque reservoir and vector species were collated. To predict spatial variation in disease risk, a model was fitted using records from countries where the infection data coverage is high. …”
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Lessons learned from the co-development of operational climate forecast services for vineyards management by N. Pérez-Zanón, V. Agudetse, E. Baulenas, P.A. Bretonnière, C. Delgado-Torres, N. González-Reviriego, A. Manrique-Suñén, A. Nicodemou, M. Olid, Ll. Palma, M. Terrado, B. Basile, F. Carteni, A. Dente, C. Ezquerra, F. Oldani, M. Otero, F. Santos-Alves, M. Torres, J. Valente, A. Soret

“…If the skill is negative, which means there is no proof of the added value of using the numerical model prediction, the bars are blurred, and the user can still be informed of the tercile category limits.The service has been provided for almost two consecutive years. …”
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Estimation of Strawberry Canopy Volume in Unmanned Aerial Vehicle RGB Imagery Using an Object Detection-Based Convolutional Neural Network by Min-Seok Gang, Thanyachanok Sutthanonkul, Won Suk Lee, Shiyu Liu, Hak-Jin Kim

“…Therefore, this study evaluated the spatial variability of strawberry canopy volumes using a ResNet50V2-based convolutional neural network (CNN) model trained with RGB images acquired through manual unmanned aerial vehicle (UAV) flights equipped with a digital color camera. …”
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Beyond traditional methods: Innovative integration of LISS IV and Sentinel 2A imagery for unparalleled insight into Himalayan ibex habitat suitability. by Ritam Dutta, Lalit Kumar Sharma, Bheem Dutt Joshi, Vineet Kumar, Amira Sharief, Saurav Bhattacharjee, Mukesh Thakur, Dhriti Banerjee, Rajappa Babu

“…The integrated image demonstrated superior accuracy in predicting the suitable habitat for the species. The identification of suitable habitats was found to be contingent upon the consideration of two key factors: the Soil Adjusted Vegetation Index and elevation. …”
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CINet: A Constraint- and Interaction-Based Network for Remote Sensing Change Detection by Geng Wei, Bingxian Shi, Cheng Wang, Junbo Wang, Xiaolin Zhu

“…Remote sensing change detection (RSCD), which utilizes dual-temporal images to predict change locations, plays an essential role in long-term Earth observation missions. …”
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Spatiotemporal mapping of major trauma in Victoria, Australia. by Ben Beck, Andrew Zammit-Mangion, Richard Fry, Karen Smith, Belinda Gabbe

“…<h4>Background</h4>Spatiotemporal modelling techniques allow one to predict injury across time and space. …”
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Embedded Rough-Neck Helmholtz Resonator Low-Frequency Acoustic Attenuator by Xianming Sun, Tao Yu, Lipeng Wang, Yunshu Lu, Changzheng Chen

“…A back-propagation (BP) neural network models and predicts how structural parameters impact the acoustic transmission coefficient, elucidating the effects of geometric variations. …”
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Maintaining a cognitive map in darkness: the need to fuse boundary knowledge with path integration. by Allen Cheung, David Ball, Michael Milford, Gordon Wyeth, Janet Wiles

“…The model replicates published experimental results on place field and grid field stability without vision, and makes testable predictions including place field splitting and grid field rescaling if the true arena geometry differs from the acquired boundary map. …”
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Detection of Indoor Building Lighting Fixtures in Point Cloud Data using SDBSCAN by Humairah Mansor, Shazmin Aniza Abdul Shukor, Razak Wong Chen Keng, Nurul Syahirah Khalid

“…Building fixtures like lighting are very important to be modelled, especially when a higher level of modelling details is required for planning indoor renovation. …”
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MC-ASFF-ShipYOLO: Improved Algorithm for Small-Target and Multi-Scale Ship Detection for Synthetic Aperture Radar (SAR) Images by Yubin Xu, Haiyan Pan, Lingqun Wang, Ran Zou

“…Furthermore, comparative experiments show that our method outperforms mainstream models. Even under high-confidence thresholds, MC-ASFF-ShipYOLO is capable of predicting more high-quality detection boxes, offering a valuable solution for advancing SAR ship detection technology.…”
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