Results 141 to 150 of about 136,882 (250)

Predictive hybrid scan-to-BIM method improves heritage building documentation completeness and accuracy. [PDF]

Sci Rep
Salah R, Géczy N, Ajtayné Károlyfi K.
europepmc   +1 more source

Influence of different manufacturing materials on the accuracy and fitting of full‐arch restorations using a photogrammetry scanner—In vitro study

Journal of Prosthodontics, EarlyView.
Abstract Purpose This study aimed to assess the accuracy of a photogrammetry scanner and evaluate the influence of four different manufacturing materials on the accuracy and fitting of full‐arch restorations made using a photogrammetry scanner. Materials and Methods A cast with six implant abutment analogs was made.
Paulo Sergio Borella, Abidiel Silva Guimaraes, Thais Silva Mendonça, Gus Khalil, Sandra Al‐Tarawneh, Lyndon F. Cooper, Gustavo Mendonça   +6 more
wiley   +1 more source

Investigating the capability of the structure-from-motion photogrammetry on monitoring the ice surface sublimation. [PDF]

iScience
Liu J, Ma S, Chen R, Li Y, Wang X, Han C.   +5 more
europepmc   +1 more source

Critical knowledge gaps in the conservation and restoration of cold‐water corals

Restoration Ecology, EarlyView.
Abstract Introduction Critical knowledge gaps hamper effective conservation of threatened cold‐water coral (CWC) ecosystems, facing cumulative anthropogenic and climate pressures. This review provides a strategic roadmap for urgent, informed intervention.
Qian Liu, Alex D. Rogers, Cassandra Roch, Jessica D. Gordon, Carlos M. Duarte, Laura F. Robinson, Rhian G. Waller, Christine Ferrier‐Pagès, Sandra Brooke, Marina Carreiro‐Silva, Kristopher Benson, Cherisse Du Preez, Stuart Banks, James P. Barry, Ralf T. S. Cordeiro, Erik Cordes, Sebastian Hennige, Thomas F. Hourigan, Marcelo V. Kitahara, Tina Kutti, Ann I. Larsson, Daniel M. Lauretta, Asako K. Matsumoto, Rebecca E. Ross, Eva Ramirez‐Llodra, Ana‐Belen Yánez‐Suárez, Anna Metaxas, Evan Edinger, Zoleka N. P. Filander, Erica Hendy, Maria Montseny, Salome Buglass, Maria L. de Carvalho Ferreira, Michelle L. Taylor   +33 more
wiley   +1 more source

AI-Based 3D Modeling Strategies for Civil Infrastructure: Quantitative Assessment of NeRF and Photogrammetry. [PDF]

Sensors (Basel)
Atencio E, Duarte F, Lozano-Galant F, Porras R, Xia Y.   +4 more
europepmc   +1 more source

Analysis of Flood Patterns in Adams County, Pennsylvania Utilizing Drone Technology and Computer Simulations

, 2019
Drone imagery and photogrammetry models of the Gettysburg College campus and the terrain at Boyer Nurseries and Orchards were utilized to study flood patterns in Adams County, Pennsylvania.
Kaewwilai, Alyssa J.
core  

Evaluating the possible role of bottom currents and internal waves in shaping seafloor morphology in a mesophotic reef

Sedimentology, EarlyView.
ABSTRACT Mesophotic reefs are located in low light conditions which, depending on the region, are usually found in water depths greater than ~30 m. They are less affected by ocean warming than reefs found in shallower water depths and thus might become increasingly important for the sustainability of marine biodiversity.
Or M. Bialik, Henriette Wilckens, Omri Gadol, Aaron Micallef, Christian Betzler, Ole Johannes R. Sørensen, Hagai Nativ, Yizhaq Makovsky   +7 more
wiley   +1 more source

Seafloor vegetation map of man-made boulders reef by underwater photogrammetry: Suggestions for site selections in macroalgal bed creations. [PDF]

PLoS One
Kanki T, Sano W, Sannoh M, Kan H.
europepmc   +1 more source

Panoramic voltage‐sensitive optical mapping of contracting hearts using cooperative multiview motion tracking with 12 cameras

The Journal of Physiology, EarlyView.
Abstact figure legend A panoramic 3D optical mapping system was developed, enabling imaging of action potential waves across the entire strongly deforming ventricular surface of beating isolated hearts. The system comprises 12 high‐speed cameras and a soccerball‐shaped imaging chamber with 48 light‐emitting diodes (LEDs).
Shrey Chowdhary, Jan Lebert, Shai Dickman, Mason Manetta, Charles Gordon, Jan Christoph   +5 more
wiley   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source