Results 111 to 120 of about 54,181 (280)

Deep learning assisted high‐resolution microscopy image processing for phase segmentation in functional composite materials

Journal of Microscopy, EarlyView.
Abstract In the domain of battery research, the processing of high‐resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior understanding of the components involved. The utilisation of deep learning methodologies for image analysis has attracted considerable interest in recent years, with ...
Ganesh Raghavendran, Bing Han, Fortune Adekogbe, Shuang Bai, Bingyu Lu, William Wu, Minghao Zhang, Ying Shirley Meng   +7 more
wiley   +1 more source

Systematic Approach for Carbonate and Volcanic Facies Classification Based on Textural and Structural Variations Observed in Brazilian Pre‐Salt Acoustic Image Logs

Journal of Petroleum Geology, EarlyView.
ABSTRACT Facies characterization in carbonate reservoirs remains challenging due to their pronounced textural and structural heterogeneity. Variations in grain packing, cementation, and diagenetic overprints produce contrasting acoustic responses in borehole image logs, often limiting the reproducibility of facies interpretation.
Lenita de Souza Fioriti, Rodrigo César Teixeira de Gouvêa, Cleyton de Carvalho Carneiro   +2 more
wiley   +1 more source

FieldDino: Rapid In‐Field Stomatal Anatomy and Physiology Phenotyping

Plant, Cell &Environment, EarlyView.
ABSTRACT Stomatal anatomy and physiology define CO2 availability for photosynthesis and regulate plant water use. Despite being key drivers of yield and dynamic responsiveness to abiotic stresses, conventional measurement techniques of stomatal traits are laborious and slow, limiting adoption in plant breeding.
Edward Chaplin, Guy Coleman, Andrew Merchant, William Salter   +3 more
wiley   +1 more source

Augmented Reality Development for Creating Interactive Experiences in Tourism Places

Journal of Applied Informatics and Computing
Technology, hardware and software are developing rapidly as time goes by. One of the results of this rapid technological development is Augmented Reality (AR) technology.
Caraka Aji Pranata, Muhammad Fairul Filza, Miquel Jan Tanudidjaja   +2 more
doaj   +1 more source

PlantCV v4: Image analysis software for high‐throughput plant phenotyping

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract PlantCV is an open‐source Python project aimed at developing tools to address a range of image‐based, plant phenotyping questions. PlantCV has been used for more than 10 years to automate trait collection from image data, and the newest release, PlantCV version 4, continues to lower the barrier to entry for users without substantial coding ...
Haley Schuhl, Keely E. Brown, Hudanyun Sheng, Parag K. Bhatt, Jorge Gutierrez, Dominik Schneider, Anna L. Casto, Lucia Acosta‐Gamboa, Joe G. Ballenger, Fabio Barbero, Jackson Braley, Autumn M. Brown, Leonardo Chavez, Shannon Cunningham, Malinda Dilhara, Adam M. Dimech, Joseph G. Duenwald, Annika Fischer, Jared M. Gordon, Chloe Hendrikse, Gabriela L. Hernandez, John G. Hodge, Martina Huber, Brandon M. Hurr, Sanaz Jarolmasjed, Karina Medina Jimenez, Samuel Kenney, Grant Konkel, Alexander Kutschera, Sunita Lama, Matthew Lohbihler, Argelia Lorence, Collin Luebbert, Nathaniel Ly, Heather K. Manching, Annarita Marrano, Susan Meerdink, Nicholas M. Miklave, Pavan Mudrageda, Katherine M. Murphy, J. David Peery, Ronald Pierik, Seth Polydore, Caleb Robey, Tess Rogers, Tyler J. Schultz, Eliza Seigel, Dhiraj Srivastava, Stephan Summerer, Josh Sumner, Chong Teng, Adriane E. Thompson, Jose C. Tovar, Tim van Daalen, Mark Watson, John J. Wheeler, Mark C. Wilson, Kaitlyn R. Ying, Alina Zare, Yutai Zhou, Malia A. Gehan, Noah Fahlgren   +61 more
wiley   +1 more source

High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Sugarcane (Saccharum spp.), a C4 plant, is a vital renewable biofuel and sugar source for industries worldwide. However, synchronizing flowering between parental lines often poses challenges for breeders, hindering effective crossbreeding efforts.
Paulo H. da Silva Santos, João R. Vieira Manechini, Carlos Augusto Dias Kanthack Jr., Mauro Alexandre Xavier, Samira Domingues Carlin, Dilermando Perecin, Thiago G. Marconi, Leandro G. Marconi, Elisson Antonio da Costa Romanel, Stephen Derek Jackson, Marcos. G. A. Landell, Luciana R. Pinto   +11 more
wiley   +1 more source

Web service with machine learning model for airspace monitoring

Вестник Дагестанского государственного технического университета: Технические науки
Objective. The goal is to develop a web service for detecting aerial objects that detects a flying object, highlights it in an image and classifies it as a threat, since modern aerial object detection systems do not always cope with the task of detecting
A. D. Popov
doaj   +1 more source

Lane detecting using OpenCV

Математические структуры и моделирование, 2012
There are several lane detecting methods. Some are simple, some are advanced. This article is overview of methods and description of fast realization of one.
Stopkin, S., Pugin, K., Efimov, S.
openaire   +1 more source

Virtual Canvas using OpenCV

International Journal for Research in Applied Science and Engineering Technology
Abstract: The main purpose of this project is to identify the human gestures according to that specific gesturesit will perform specific tasks. Project are going to use OpenCV library, Python programming language and also we will use colour detection and image segmentation techniques to achieve this. OpenCV is an open source computer vision library for
Santosh Bachkar, Shivam Bangar, Kumar Dalvi, Piyush Anantwar   +3 more
openaire   +1 more source

Optimizing planting date for mung bean cultivars

Crop, Forage &Turfgrass Management, Volume 12, Issue 1, June 2026.
Abstract Mung bean [Vigna radiata (L.) Wilczek] is a legume with high nutritional value and adaptability to diverse environmental conditions. However, optimizing its agronomic practices in the Midwestern United States, particularly regarding planting dates, remains underexplored.
Natan Seraglio, Arti Singh, Fernando Marcos, Mark A. Licht   +3 more
wiley   +1 more source