Risque palustre : appréhender la vulnérabilité des individus à l'échelle locale (Sud du Bénin) by Charlotte Pierrat

“…It’s indeed a vector-borne disease deeply linked with a hot and wet climate. But the prediction models of malaria, mainly based on climate, fail to explain the spatial and temporal variability of transmission observed on the very fine scale of a rural village. …”
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Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning by Navita, Pooja Mittal, Yogesh Kumar Sharma, Anjani Kumar Rai, Sarita Simaiya, Umesh Kumar Lilhore, Vimal Kumar

“…The proposed dual-stage model utilized a hypertuned Random Forest Tree (RFT) to classify the subjects into PD and non-PD classes at Stage 1 and a hypertuned Ensemble Regressor (ER) to predict the severity of illness at Stage 2. …”
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Urban heat island classification through alternative normalized difference vegetation index by N. Chanpichaigosol, C. Chaichana, D. Rinchumphu

“…By highlighting nonlinear trends, the research underscores further the need to explore vegetation dynamics in land surface temperature predictions. The findings contribute to a deeper understanding of urban heat island effects and provide a basis for enhancing machine Learning models and urban planning frameworks. …”
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Knee Osteoarthritis Diagnosis: Future and Perspectives by Henri Favreau, Kirsley Chennen, Sylvain Feruglio, Elise Perennes, Nicolas Anton, Thierry Vandamme, Nadia Jessel, Olivier Poch, Guillaume Conzatti

“…Also, the use of Artificial Intelligence (AI) in the diagnosis seems essential to effectively develop and validate predictive models for KOA evolution, provided that a large and robust database is available. …”
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Diffusion and Risks of House Prices in the Netherlands by Alfred Larm Teye

“…Some housing researchers and experts have suggested that a better understanding of the spatial diffusion mechanisms of house prices will aid resuscitating the housing market after the GFC. …”
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Study on anti-reflection of deep soft and high gas coal seam floor by deep hole controlled blasting by Jian-yu Zhang, Yi-xin Gong

“…After the blasting process, the arrangement of control holes can result in an increase of up to 133% in damage to the coal seam and a reduction of up to 167% in damage to the floorboard compared to the model without control holes. …”
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Optimizing fuel break management for core habitat protection against wildfires in the northern Great Basin by Dung Nguyen, Yu Wei, Erin J. Belval, Jesse D. Young, Christopher D. O'Connor, Christopher J. Dunn, David E. Calkin

“…The model uses simulated wildfires for 20,000 fire seasons, calibrated to historical fire occurrence data from 2006 to 2020. …”
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Large-scale assessment of rainfall-induced landslide hazard based on hydrometeorological information: application to Partenio Massif (Italy) by D. C. Roman Quintero, P. Marino, A. Abdullah, G. F. Santonastaso, R. Greco

“…</p> <p>To extend the application to large areas, the uncertainties linked to the spatial variability of slope geomorphologic characteristics and hydrometeorological variables were considered as random errors. …”
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Determination of Sequential Well Placements Using a Multi-Modal Convolutional Neural Network Integrated with Evolutionary Optimization by Seoyoon Kwon, Minsoo Ji, Min Kim, Juliana Y. Leung, Baehyun Min

“…The learned M-CNN predicts oil productivity at every candidate well location and selects qualified well placement scenarios. …”
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Optimal selection of high-production well targets for fault-controlled fractured-vuggy reservoir in Shunbei oil and gas field, Tarim Basin by Lijun GAO, Haiying LI, Wei GONG, Wei YANG, Hongyan LI

“…This model, based on the "source-connected faults + bead-string + deep chaotic high-amplitude background", provided a systematic framework for reservoir prediction and target selection. …”
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Climate change impacts to foraging seascapes for a highly migratory top predator by Barbara Muhling, Stephanie Snyder, Elliott L. Hazen, Rebecca Whitlock, Jong-Yeon Park, Charles A. Stock, Barbara A. Block

“…Statistical species distribution models are commonly used to explain past patterns and anticipate future shifts. …”
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Enhancing Sea Ice Concentration Resolution in a Northern Sea Route Strait Using a Generative Adversarial Network by M. L. Rocha, A. H. Lynch, K. J. Bergen

“…However, typical climate model spatial resolutions limit the capacity to represent Arctic straits accurately. …”
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A three-dimensional reconstruction method of coal mine tunnel fused with LiDAR and IMU by Qinghua MAO, Jianquan CHAI, Yanzhang CHEN, Xusheng XUE, Chuanwei WANG

“…The three-dimensional model of coal mine tunnel constructed by the proposed algorithm is consistent with the spatial distribution of the real coal mine tunnel. …”
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Soil Salinity Detection and Mapping by Multi-Temporal Landsat Data: Zaghouan Case Study (Tunisia) by Karem Saad, Amjad Kallel, Fabio Castaldi, Thouraya Sahli Chahed

“…These samples were representative of distinct soil salinity classes, including non-saline, slightly saline, moderately saline, strongly saline, and very strongly saline soils. Soil salinity modeling using Landsat-8 OLI data revealed that the SI-5 index provided the most accurate predictions, with an R² of 0.67 and an RMSE of 0.12 dS/m. …”
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Normative structural connectome constrains spreading transient brain activity in generalized epilepsy by Jie Xia, Siqi Yang, Jiao Li, Yao Meng, Jinpeng Niu, Huafu Chen, Zhiqiang Zhang, Wei Liao

“…Furthermore, a network-based diffusion model was utilized to simulate the spread of pathology and identify potential disease epicenters. …”
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Emerging role of generative AI in renewable energy forecasting and system optimization by Erdiwansyah, Rizalman Mamat, Syafrizal, Mohd Fairusham Ghazali, Firdaus Basrawi, S.M. Rosdi

“…Results indicate that GAN-based models reduce root mean square error (RMSE) by 15–20 % in solar irradiance forecasting and significantly enhance spatial-temporal wind simulations. …”
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Wide-field electromagnetic method for deep hot dry rock fracturing monitoring: penetrating thick low-resistivity overburden by Shiyin Gao, Shiyin Gao, Wubing Deng, Juncheng Wang, Juncheng Wang, Juncheng Wang, Juncheng Wang, Mingzuan Xu, Mingzuan Xu

“…Key acquisition parameters were optimized via forward modeling, including transmitter-receiver distance (*r* = 15 km), current (I = 130 A), and electrode spacing (AB = 3,000 m, MN = 100 m).ResultsField data revealed distinct resistivity reduction zones (1,000→25 Ωm) spatially correlated with active fracturing wells, demonstrating WFEM’s ability to detect fluid-induced anomalies (Δρ up to 30%). …”
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Has the Three Gorges Reservoir Impacted Regional Moisture Recycling? by Jia Wei, Weiguang Wang, Mingzhu Cao, Jianyun Zhang, Junliang Jin, Guoqing Wang, Hongbin Li, Xiaolong Pan, Zongchao Ye, Adriaan J. Teuling, Shuo Wang

“…Although different forcing data and simulation time steps show good agreement in spatial and temporal variations in the recycled moisture, the local ERRs are larger when calculated from the UTrack model than from the WAM‐2layers model.…”
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LKVHAN: Multiscale Large Kernel Vertical-Horizontal Attention Network for Hyperspectral Image Classification by Xun Liu, Alex Hay-Man Ng, Xuejiao Liao, Fangyuan Lei, Jinchang Ren, Linlin Ge

“…Among deep learning-based hyperspectral image (HSI) classification models, convolutional neural networks (CNNs), transformers, Mamba, and large kernel CNNs (LKCNNs) models have been widely explored for HSI classification (HSIC). …”
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Synergistic hyperspectral and SAR imagery retrieval of mangrove leaf area index using adaptive ensemble learning and deep learning algorithms by Jun Sun, Weiguo Jiang, Bolin Fu, Hang Yao, Huajian Li

“…We further evaluated the performance of OHS (Zhuhai-1) hyperspectral and GF-3 SAR images in mapping the spatial distribution of the LAI in mangroves. Finally, the outputs of the AELR and DNNR models were interpreted, and the interactions between different image features were clarified to select the sensitive spectral ranges and vegetation indexes for estimating the mangrove LAI using SHAP (Shapley additive explanation). …”
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