Results 251 to 260 of about 129,870 (304)

Connecting tradition and technology: The digitization of the ethnobotanical collection at the Rio de Janeiro Botanical Garden

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
The digitization of RBetno (JBRJ) represents a step forward for biodiversity conservation in Brazil. Aligned with the Kunming‐Montreal Global Biodiversity Framework (Target 2, 2020–2030), this project documents the use of plants, including traditional knowledge and vernacular names, with a focus on the Atlantic Forest and Amazon.
Viviane S. Fonseca‐Kruel   +6 more
wiley   +1 more source

A new method to identify and explain sources of precipitation modification, illustrated for the western Netherlands

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
This study develops a method to identify the source areas of precipitation events, as illustrated for the western part of the Netherlands. Radar‐based precipitation data are traced back to their source areas and machine‐learning techniques are used to identify hypothesized causes: urban heat, surface roughness, and air pollution. We find that urban and
Jelmer van der Graaff   +1 more
wiley   +1 more source

Federated Learning Architecture for 3D Breast Cancer Image Classification. [PDF]

open access: yesCancers (Basel)
Ali Alhussan A   +4 more
europepmc   +1 more source

Federated Autonomous Deep Learning for Distributed Healthcare System

open access: gold
Rakesh Mohan Pujahari   +2 more
openalex   +1 more source

An Interpretable TCN– Transformer Framework for Lithium‐Ion Battery State of Health Estimation Using SHAP Analysis

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT Accurate state of health (SOH) estimation of Li‐ion batteries is essential for ensuring safety, reliability, and prolonging battery lifespan in energy storage systems and electric vehicles. This study proposes a hybrid temporal convolutional network (TCN)–transformer framework that effectively captures both short‐term temporal dynamics and ...
Fusen Guo   +6 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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