Results 91 to 100 of about 10,225 (242)

Graph‐based Black and White Stylization

Computer Graphics Forum, EarlyView.
Abstract Stippling is an art style forming images from large numbers of small dots. Computer graphics practitioners have proposed numerous algorithms for stippling and stippling variants over the years. In this paper, we propose a black and white image stylization technique in which the image is formed from heterogeneous black and white vector marks ...
Ali Sattari Javid, Jimmy Lord, David Mould   +2 more
wiley   +1 more source

OpenCV WebCam Applications in an Arduino-Based Rover

, 2015
In this work we design and implement Arduino-based Rovers with characteristics of re-programmability, modularity in terms of type and number of components, communication capability, equipped with motion support and capability to exploit information both from the surrounding and from other wireless devices.
Loscrì, Valeria, Mitton, Nathalie, Compagnone, Emilio   +2 more
openaire   +3 more sources

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

Can Deep Learning Methods Differentiate Temporomandibular Joint Disorders From Healthy Joints? A 3D Artificial Intelligence Algorithm Study Based on CBCT Images

Journal of Oral Rehabilitation, EarlyView.
In this study, an integrated deep learning approach was developed for the evaluation of temporomandibular joint disorders using multicentre CBCT images. The mandibular condyle was first automatically segmented using the nnU‐Net v2 architecture. Subsequently, 3D‐CNN algorithms classified the condyles as healthy or unhealthy and further distinguished ...
İbrahim Şevki Bayrakdar, Sevda Kurt‐Bayrakdar, Alican Kuran, Özer Çelik, Kaan Orhan, Rohan Jagtap   +5 more
wiley   +1 more source

Artificial Intelligence in Orthodontics: Part 2—Data Preparation and Performance Evaluation

Orthodontics &Craniofacial Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is increasingly integrated into orthodontic research and clinical workflows. Yet, the reliability and clinical value of these systems depend fundamentally on the quality of the data used to train them and the rigour with which their performance is evaluated.
Khuram Naveed, Fatemeh Sohrabniya, Hossein Mohammad‐Rahimi, Julian Woolley, Ruben Pauwels, Peter Bangsgaard Stoustrup   +5 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

Multitrophic responses to tidal marsh restoration: early effects of channel configuration on water quality, aquatic food web structure, and fish communities

Restoration Ecology, EarlyView.
Abstract Introduction Tidal wetland restoration is critical for reversing habitat loss and enhancing resilience under sea‐level rise and climate variability. Dutch Slough in the San Francisco Estuary served as a living laboratory for adaptive management.
Joseph E. Merz, Cheryl Dean, Bobbie Flores, Katie Karpenko, Kai Ross, Andrew Veary   +5 more
wiley   +1 more source

Recognition of fossil keratose sponges in carbonates using petrographic and machine‐learning classification

Sedimentology, EarlyView.
ABSTRACT Filamentous, anastomosing spar‐filled networks in Phanerozoic carbonates have been interpreted as the mineralised remains of keratose (non‐spiculate) sponges, yet their recognition remains contested because fabrics of broadly similar appearance may arise from microbial, diagenetic or physical processes. This study combines direct fossil–modern
Jeong‐Hyun Lee, Seung‐Sep Kim, Cui Luo   +2 more
wiley   +1 more source

OpenCV for Computer Vision Applications

International Journal For Multidisciplinary Research
OpenCV is a powerful, open-source toolkit designed for handling real-time computer vision challenges and advanced image processing tasks. It enables automated systems to interpret images and videos effectively. This paper explores the capabilities of OpenCV for real-time applications such as surveillance, face authentication, edge detection, and mobile
Ekta Sinha, Ashwani Kumar, Abhinav Tyagi
openaire   +1 more source

Mung bean yield stability exists across seeding rates

Crop, Forage &Turfgrass Management, Volume 12, Issue 2, December 2026.
Abstract Mung bean [Vigna radiata (L.) Wilczek] is gaining attention as a sustainable, high‐protein legume with the potential to diversify cropping systems in temperate regions such as Iowa. However, optimal agronomic management practices, including seeding rate, remain largely unexplored in this region. This study evaluated the effects of seeding rate
Natan Seraglio, Arti Singh, Fernando Marcos, Mark A. Licht   +3 more
wiley   +1 more source