Results 141 to 150 of about 10,726 (213)

TreeON: Reconstructing 3D Tree Point Clouds from Orthophotos and Heightmaps

Computer Graphics Forum, EarlyView.
Abstract We present TreeON, a novel neural‐based framework for reconstructing detailed 3D tree point clouds from sparse top‐down geodata, using only a single orthophoto and its corresponding Digital Surface Model (DSM). Our method introduces a new training supervision strategy that combines both geometric supervision and a differentiable shadow and ...
Angeliki Grammatikaki, Johannes Eschner, Pedro Hermosilla, Oscar Argudo, Manuela Waldner   +4 more
wiley   +1 more source

3D reconstruction analysis of maize-soybean intercropping competition under water stress. [PDF]

Plant Phenomics
Duan S, Chen H, Chen S, Li X, Zhou Z, Parsons D, Oliveira J, Du T.   +7 more
europepmc   +1 more source

Parallel Vectors Extraction using Bézier Clipping

Computer Graphics Forum, EarlyView.
Abstract In this paper, we propose a novel local feature extraction algorithm for the parallel vectors (PV) operator. Our method is based on Bézier clipping, which is a bracketing‐based root finding method that is commonly‐used in computer‐aided geometric design.
Nico Daßler, Tobias Günther
wiley   +1 more source

Deep learning-based image segmentation for predicting hot carcass weight in tropical beef cattle. [PDF]

Trop Anim Health Prod
de Freitas Assis GJ, de Souza NF, Schultz EB, de Castro Nunes CL, Costa AHF, Neto AAS, Nacif JAM, da Silva LB, Ferreira RDS, Chizzotti ML.   +9 more
europepmc   +1 more source

Uncovering correlates of decline and critical refuges for a threatened terrestrial mammal

Conservation Biology, EarlyView.
Abstract Globally, the geographic ranges of numerous species are contracting. Identifying spatiotemporal patterns of threat impact can illuminate why species decline in some parts of their range but persist in others. We developed a correlative approach to identify species’ response thresholds and locate ecological refuge areas associated with ...
Natalya M. Maitz, Michelle S. Ward, Jonathan R. Rhodes, Ben C. Scheele, Hugh P. Possingham, Diana O. Fisher   +5 more
wiley   +1 more source

Multiscale phosphorus loss in farmland driven by precipitation: effects of farmland type. [PDF]

Environ Monit Assess
Shi K, Zhang H, Mei X, Liu B, Xiao Q.
europepmc   +1 more source

Randomised Controlled Multicentre Trial to Investigate the Effectiveness of a Mobile Artificial Intelligence Solution for Diabetes Adapted Care: The MELISSA Trial Protocol

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Aims Achieving optimal glycaemic control remains a burden for many people with diabetes on intensive insulin treatment. The MELISSA trial aims to clinically validate the artificial intelligence (AI)‐based MELISSA system to support people with Type 1 diabetes on multiple daily insulin injections (MDI) with personalised insulin dose ...
Elisabeth J. den Brok, Cecilie H. Svensson, Mikkel T. Olsen, Nefeli M. Dimitropoulou, Sander M. J. van Kuijk, Maria Panagiotou, Lubnaa Abdur Rahman, Stephan Proennecke, Peter R. Mertens, Stavros Athanasopoulos, Cassy F. Dingena, Konstantinos Makrilakis, Stavroula Mougiakakou, Ulrik Pedersen‐Bjergaard, Bastiaan E. de Galan, on behalf of the MELISSA consortium   +15 more
wiley   +1 more source

Narrative-affect discrepancy as a regulated degree of freedom in 351,734 relationship narratives. [PDF]

PLoS One
Kim RS.
europepmc   +1 more source

Concentrated vulnerabilities in bees: Diet specialists have smaller geographic ranges

Insect Conservation and Diversity, EarlyView.
Niche breadth theory predicts a positive association between range size and diet breadth, which could concentrate risk among specialists, but this is not well established for bees. Using global occurrence data (range size) and natural history collection‐derived pollen data (diet breadth), we compared these traits in 633 species from six families and ...
Charles N. Thrift, Thomas J. Wood, An Bui, Hillary S. Young, Katja C. Seltmann   +4 more
wiley   +1 more source

Enhancing the Generalizability of Deep Learning-Based Models for Lung Field Segmentation in Chest Radiographs Using Edge-Assisted Multiscale Feature Fusion. [PDF]

Int J Biomed Imaging
Andrabi T, Bhat SY.
europepmc   +1 more source