Masked pre-training of transformers for histology image analysis by Shuai Jiang, Liesbeth Hondelink, Arief A. Suriawinata, Saeed Hassanpour

“…In digital pathology, whole-slide images (WSIs) are widely used for applications such as cancer diagnosis and prognosis prediction. Vision transformer (ViT) models have recently emerged as a promising method for encoding large regions of WSIs while preserving spatial relationships among patches. …”
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A sub-meter resolution urban surface albedo dataset for 34 U.S. cities based on deep learning by Shengao Yi, Xiaojiang Li, Yixuan Liu, Xinyu Dong, Wei Tu

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Re-identification assistance and multi-stage association for pedestrian multi-object tracking by Ye Li, Li Zhan, Lei Wu, Hongkun Liu, Jianli Min, Xinzhong Wang

“…Currently, most methods mainly use the Kalman filter to model the motion and predict the position of the pedestrian in the next frame. …”
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The Value of Learning about Natural History in Biodiversity Markets. by Douglas J Bruggeman

“…I use an individually-based, spatially-explicit population model for the Red-cockaded Woodpecker (Picoides borealis) to predict spatial- and temporal- influences of landscape change on species occurrence and genetic diversity. …”
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Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What’s the Best Approach for Crime Forecasting? by Eugenio Cesario, Paolo Lindia, Andrea Vinci

“…As a result, the efficient allocation of public security resources based on spatio-temporal crime prediction models has become a critical concern for urban management. …”
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Computational exploration of structural hypotheses for an additional sequence in a mammalian mitochondrial protein. by Aymen S Yassin, Rajendra K Agrawal, Nilesh K Banavali

“…<h4>Conclusions</h4>By hypothesizing that the insert sequence occupies the IF1 binding site, continuous IF2(mt) models that occupy both the IF2 and IF1 binding sites can be predicted computationally. …”
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Evaluation of Landslide Risk Using the WoE and IV Methods: A Case Study in the Zipaquirá–Pacho Road Corridor by Sandra Velazco, Álvaro Rodríguez, Martín Riascos, Fernando Nieto, Dayana Granados

“…Of these, 70% were used to build the models, while the remaining 30% were reserved for validation, ensuring spatial representativeness. …”
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Multi-objective Optimization of Window and Shading Systems for Enhanced Office Building Performance: A Case Study in Qom, Iran by Mohammad Hassan Abedini, Hanieh Gholami, Hamed Sangin

“…Conducted in the hot desert climate of Qom, the research employs advanced simulation tools, including Rhino 8 integrated with Grasshopper, Honeybee, and Ladybug, to model and evaluate shading strategies. A multi-objective optimization (MOO) approach was applied to enhance four key metrics: Thermal Comfort Percent (TCP), Energy Use Intensity (EUI), Annual Sunlight Exposure (ASE), and Spatial Daylight Autonomy (sDA). …”
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FROM PIXELS TO DIAGNOSIS: A DEEP LEARNING FRAMEWORK FOR HISTOPATHOLOGICAL IMAGE ANALYSIS IN CANINE TESTICULAR PATHOLOGY

“…We fine-tuned the model on a proprietary dataset of testicular tissue sections, annotated by two pathologists. …”
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Le rôle des facteurs locaux sur les effets des changements climatiques au Quaternaire supérieur sur les environnements naturel du Néguev septentrional by Aaron Yair

“…However; existing global models are not yet capable of predicting accurately the evolution of regional climates and their possible impact on the environment. …”
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Simulation of urban development in the City of Rome: Framework, methodology, and problem solving by Simone Di Zio, Armando Montanari, Barbara Staniscia

“…In Italy’s case, the implementation of the UrbanSIM model involved the territory of Rome, including the municipalities of Rome and Fiumicino. …”
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Comparison of Deep and Machine Learning Approaches for Quebec Tree Species Classification Using a Combination of Multispectral and LiDAR Data by Omid Reisi Gahrouei, Jean-François Côté, Philippe Bournival, Philippe Giguère, Martin Béland

“…The results indicated that Dense Convolution Network (DenseNet) achieved the best overall accuracy of 78%, outperforming machine learning methods by 5%. In addition, the models’ performance was independently assessed using permanent and temporary ground sample plots, acknowledging the superiority of DenseNet in terms of overall accuracy (73%) in predicting the dominant species. …”
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Mapping the global distribution of livestock. by Timothy P Robinson, G R William Wint, Giulia Conchedda, Thomas P Van Boeckel, Valentina Ercoli, Elisa Palamara, Giuseppina Cinardi, Laura D'Aietti, Simon I Hay, Marius Gilbert

“…The Gridded Livestock of the World (GLW) database, produced in 2007, provided modelled livestock densities of the world, adjusted to match official (FAOSTAT) national estimates for the reference year 2005, at a spatial resolution of 3 minutes of arc (about 5×5 km at the equator). …”
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Treatment-prognostication-adjustment a new therapeutic idea by analyzing T cell immune checkpoint in tumor microenvironment by algorithm: A bibliometric analysis by Shiwei Ma, Xin Wu, Zhongguang Wu, Qiangqiang Zhao

“…In the past three years, survival analysis, immune cell infiltration, and prediction model have been used. It can be seen that the focus in this field has shifted from tumor cell behavior and directly related molecules to prognosis prediction and non-tumor cells in the microenvironment. …”
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Range dynamics of Anopheles mosquitoes in Africa suggest a significant increase in the malaria transmission risk by Peixiao Nie, Chunyan He, Jianmeng Feng

“…Through a unified scheme, we developed 21 species distribution models to predict the range dynamics of 21 major An. species in Africa under future scenarios and also examined their overall range dynamic patterns mainly through suitability overlap index and range overlap index. …”
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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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Parallel region growing of half-tone images based on selected average brightness of the area along the growth route by V. Yu. Tsviatkou

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L’activité réflexive des agents de terrain lors d’un dispositif de formation hybride qui intègre de la réalité virtuelle by Artémis Drakos, Jacques Theureau, Geneviève Filippi, Simon Flandin, Germain Poizat

“…Designed by the researchers and a trainer, this device, known as scenario-inquiry, is intended to help trainees gain an understanding of the spatial and functional characteristics of a complex industrial building, essential knowledge for their future job as field operators. …”
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Driving towards net-zero: the impact of electric vehicle flexibility participation on a future Norwegian electricity system by Tobias Verheugen Hvidsten, Maximilian Roithner, Fred Espen Benth, Marianne Zeyringer

“…This work presents a modelling study of the Norwegian electricity system using the high spatial and temporal resolution electricity system model (highRES). …”
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Digital mapping of soil organic carbon stocks in the forest lands of Dominican Republic by Efraín Duarte, Erick Zagal, Juan A. Barrera, Francis Dube, Fabio Casco, Alexander J. Hernández

“…Model A reported the lowest prediction error and uncertainty with an R2 of 0.83, an RMSE of 35.02 Mg C ha−1. …”
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