TanDepth: Leveraging Global DEMs for Metric Monocular Depth Estimation in UAVs by Horatiu Florea, Sergiu Nedevschi

“…An adaptation to the cloth simulation filter is presented, which allows selecting ground points from the estimated depth map to then correlate with the projected reference points. …”
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Integrated land use and transportation modelling and planning: A South African journey by Louis Waldeck, Quintin van Heerden, Jenny Holloway

“…This paper describes how an Urban Simulation Model was developed by adapting one of the leading microsimulation models (UrbanSim) originating from the developed world to South African conditions and how the requirements for microscopic data about the base year of a simulation were satisfied in a sparse data environment by introducing various typologies. …”
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Research on Wi-Fi Fingerprint Database Construction Method Based on Environmental Feature Awareness by Jiaxuan Wu, Tianzhong Yang, Zengting Zhang

“…In this paper, we present a novel method for constructing Wi-Fi fingerprint databases based on environmental feature awareness. …”
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The super repertoire of type IV effectors in the pangenome of Ehrlichia spp. provides insights into host-specificity and pathogenesis. by Christophe Noroy, Damien F Meyer

“…In addition, 69 species-specific T4Es were predicted with non-canonical GC% mostly in gene sparse regions of the genomes and we observed a bias in pT4Es according to host-specificity. …”
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FHQ-RRT*: An Improved Path Planning Algorithm for Mobile Robots to Acquire High-Quality Paths Faster by Xingxiang Dong, Yujun Wang, Can Fang, Kemeng Ran, Guohui Liu

“…The proposed algorithm enhances the exploration efficiency and path quality of mobile robots through three key innovations: First, a dynamic sparse sampling strategy that adaptively adjusts the sampling density according to the growth rate of the random tree, thereby increasing the algorithm’s growth speed while maintaining adaptability to complex environments. …”
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ensembleDownscaleR: R Package for Bayesian Ensemble Averaging of PM_2.5 Geostatistical Downscalers by Wyatt G. Madden, Meng Qi, Yang Liu, Howard H. Chang

“…As part of the Multi-Angle Imager for Aerosols (MAIA) project, a geostatistical regression model has been developed to bias-correct AOD, followed by Bayesian ensemble averaging to gap-fill missing AOD values with CTM simulations. Here, we present a suite of statistical software (available in the R package ensembleDownscaleR) to facilitate the adaptation of this modeling approach to other settings and air quality modeling applications. …”
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Graph neural processes for molecules: an evaluation on docking scores and strategies to improve generalization by Miguel García-Ortegón, Srijit Seal, Carl Rasmussen, Andreas Bender, Sergio Bacallado

“…Molecular property prediction is one such research area that is characterized by sparse datasets of many functions on a shared molecular space. …”
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Epidemic Modeling in Satellite Towns and Interconnected Cities: Data-Driven Simulation and Real-World Lockdown Validation by Rafaella S. Ferreira, Wallace Casaca, João F. C. A. Meyer, Marilaine Colnago, Mauricio A. Dias, Rogério G. Negri

“…These findings advance the understanding of epidemic control in regions with sparse data and provide evidence-based insights to inform public health policies in similar contexts.…”
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Animation Pose Generation Model Based on Kinect Depth Image and Occlusion-Robust Pose-Maps Algorithm by Zhenxi Yu, Ting Wang, Peng Tian, Xuejie Li

“…In addition, in the case analysis, the angle fluctuation curve presented by the research model was most in line with the actual situation. …”
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The molecular mechanism of shade avoidance in crops – How data from Arabidopsis can help to identify targets for increasing yield and biomass production by Yun-jia TANG, Johannes Liesche

“…In order to prevent or counteract shading, plants enact a complex set of growth and developmental adaptations when they sense a change in light quality caused by other plants in their vicinity. …”
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Clinical features, comorbidity, and cognitive impairment in elderly bipolar patients by Rise IV, Haro JM, Gjervan B

“…Ida Vikan Rise,1 Josep Maria Haro,2–4 Bjørn Gjervan,5,61Department of Psychiatry, Sorlandet Hospital, Arendal, Norway; 2Research Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain; 3Faculty of Medicine, Universitat de Barcelona, Barcelona, Spain; 4CIBERSAM (Centro de Investigación Biomédica En Red de Salud Mental), Madrid, Spain; 5Department of Psychiatry, North-Trondelag Hospital Trust, Levanger, Norway; 6Department of Medicine, Institute of Neuromedicine, Norwegian University of Science and Technology, Trondheim, NorwayIntroduction: Data specific to late-life bipolar disorder (BD) are limited. Current research is sparse and present guidelines are not adapted to this group of patients.Objectives: We present a literature review on clinical characteristics, comorbidities, and cognitive impairment in patients with late-life BD. …”
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A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images by Muhammad Attique Khan, Usama Shafiq, Ameer Hamza, Anwar M. Mirza, Jamel Baili, Dina Abdulaziz AlHammadi, Hee-Chan Cho, Byoungchol Chang

“…Future work will explore its adaptability to additional datasets and optimize its computational complexity for broader deployment.…”
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MetaTrans-FSTSF: A Transformer-Based Meta-Learning Framework for Few-Shot Time Series Forecasting in Flood Prediction by Jiange Jiang, Chen Chen, Anna Lackinger, Huimin Li, Wan Li, Qingqi Pei, Schahram Dustdar

“…While deep learning methods have demonstrated exceptional performance in time series prediction through advanced feature extraction and pattern recognition, they encounter significant limitations when applied to scenarios with sparse data, especially in flood forecasting. The scarcity of historical data can severely hinder the generalization capabilities of traditional deep learning models, presenting a notable challenge in practical flood prediction applications. …”
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Pruned hierarchical Random Forest framework for digital soil mapping: Evaluation using NEON soil properties by Chengcheng Xu, Jingyi Huang, Alfred E. Hartemink, Nathaniel W. Chaney

“…For spatial imbalance, each model dynamically adapts its spatial coverage, incorporating more neighboring soil data in areas where georeferenced soil observations are sparse. …”
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G6PD deficiency prevalence and estimates of affected populations in malaria endemic countries: a geostatistical model-based map. by Rosalind E Howes, Frédéric B Piel, Anand P Patil, Oscar A Nyangiri, Peter W Gething, Mewahyu Dewi, Mariana M Hogg, Katherine E Battle, Carmencita D Padilla, J Kevin Baird, Simon I Hay

“…The maps and population estimates presented here reflect potential risk of primaquine-associated harm. …”
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Soil data from the Barbastro-Balaguer gypsum belt, NE SpainMendeley Data by Juan Herrero, María Tierra, Carmen Castañeda

“…Also, plant physiologists are focusing on the adaptations of plants to gypsum as reviewed by Escudero et al. [12]. …”
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Enhancing Pulmonary Disease Prediction Using Large Language Models With Feature Summarization and Hybrid Retrieval-Augmented Generation: Multicenter Methodological Study Based on R... by Ronghao Li, Shuai Mao, Congmin Zhu, Yingliang Yang, Chunting Tan, Li Li, Xiangdong Mu, Honglei Liu, Yuqing Yang

“…However, the inherent complexity and specificity of medical texts present significant challenges for the practical application of prompt engineering in diagnostic tasks. …”
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Failing Forward Quickly as a Developmental Evaluator: Lessons from Year One of the LiveWell Kershaw Journey by Holly G. Hayes, Susan Witkowski, Lillian Smith

“…Background: Learning to be a developmental evaluator is challenging because it is relatively new and sparsely documented in the scholarly literature. Developmental evaluation is intended to support the ever-changing and adaptive nature of complex environments. …”
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Culture and House form (Case study: Traditional houses in Tonekabon and Ramsar) by Abbas Yazdanfar, Bagher Hosseini, Mstafa Zaroudi

“…Finally, the results of comparison studies are presented in tables putting light on hidden aspects of culture-form and culture-design relation. …”
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The first EANS vascular and skull base hands-on course in East Africa: Review from the global and humanitarian neurosurgical committee initiative by Magalie Cadieux, Andreas K. Demetriades, Lukas Rasulic, Nicephorus Rutabasibwa, Alpha Kinghomella, Aingaya Kaale, Boaz Yonah, Christian Preuss-Hernández, Roger Härtl, Nicolò Marchesini, Magnus Tisell, Ondra Petr

“…The treatment remains sparse. When they apply, microneurosurgical techniques are prioritized over endovascular procedures due to lack of resources. …”
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