Results 211 to 220 of about 89,828 (281)

The performance of drones and artificial intelligence for monitoring sage‐grouse at leks

open access: yesWildlife Biology, EarlyView.
Accurately monitoring sage‐grouse populations is critical for conservation, yet traditional ground‐based visual surveys face challenges in scalability and consistency, prompting the exploration of innovative drone‐based methodologies enhanced by artificial intelligence.
Lance B. McNew   +2 more
wiley   +1 more source

Delamination of Vermiculite into Ultrahigh‐Aspect‐Ratio Nanosheets

open access: yesZeitschrift für anorganische und allgemeine Chemie, EarlyView.
Efficient ion exchange allows for thermodynamically driven delamination of vermiculite into high‐aspect ratio nanosheets. The applicability of sustainable materials in the packaging industry is currently limited by the poor gas barrier performance of most biodegradable polymers.
Felix Uhlig   +4 more
wiley   +1 more source

Fish Space Use and Behavior in an Aquarium: The Use of Microhabitats as Enrichment

open access: yesZoo Biology, EarlyView.
The inclusion of microhabitats in a stream tank serves as environmental enrichment for fish in human care. ABSTRACT Environmental enrichment is an important tool to maintain the health and well‐being of animals in human care, but studies of environmental enrichment for fish in human care have lagged behind those of land animals.
Avery Millard   +14 more
wiley   +1 more source

Micro‐Mechanism Informed Neural Networks for Process‐Property Prediction in Laser Powder Bed Fusion

open access: yesArtificial Intelligence for Engineering, EarlyView.
Hard physics embedding, where neural networks learn residuals relative to analytical baselines, substantially outperforms soft loss‐function constraints for extrapolation in LPBF process–property prediction. Physics integration architecture determines generalization capability more than constraint quantity.
Yo‐Lun Yang
wiley   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha   +9 more
wiley   +1 more source

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