Results 131 to 140 of about 79,319 (254)

A fine recognition method of strawberry ripeness combining Mask R-CNN and region segmentation. [PDF]

open access: yesFront Plant Sci, 2023
Tang C   +7 more
europepmc   +1 more source

The potential of seedbank digital information in plant conservation

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Seedbanks are vital for biodiversity conservation, but their potential remains underutilised due to a limited understanding of the intraspecific genetic diversity they hold. By leveraging digitised data associated with seedbank collections, such as sampling locations, number of maternal plants and seed traits, we can attempt the estimation of genetic ...
Roberta Gargiulo   +23 more
wiley   +1 more source

APESTNet with Mask R-CNN for Liver Tumor Segmentation and Classification. [PDF]

open access: yesCancers (Basel), 2023
Balasubramanian PK   +4 more
europepmc   +1 more source

Polar‐low track prediction using machine‐learning methods

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang   +4 more
wiley   +1 more source

A CNN Approach for Simultaneous Spatiotemporal Fault Interpretation

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT Convolutional Neural Networks (CNNs) have emerged as one of the most effective tools for image analysis. In this study, we propose a custom‐designed CNN architecture to construct a process control scheme based on image data. The product image is partitioned into equal‐sized grids, each comprising three channels: (i) reference image, (ii ...
Hamed Sabahno
wiley   +1 more source

Real‐Time Terrain Traversability Analysis and Mapping for Autonomous Robotics in Dynamic Environments: Fusing Appearance‐ and Geometry‐Based Approaches

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT This paper presents advanced methodologies for real‐time terrain analysis and mapping in autonomous robotic systems. The focus is on appearance‐based terrain traversability analysis and geometric‐based terrain traceability analysis. In the appearance‐based approach, an enhanced segmentation model using pixel‐based augmentation and 13 unique ...
Semih Beycimen   +2 more
wiley   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong   +13 more
wiley   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos   +6 more
wiley   +1 more source

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