Results 191 to 200 of about 10,099,680 (281)

Developing a low‐cost drone‐based method for deploying and retrieving autonomous recording units in inaccessible areas

open access: yesWildlife Society Bulletin, EarlyView.
Autonomous recording units (ARUs) are increasingly used for passive acoustic monitoring, but deploying them in remote or inaccessible locations remains challenging. We developed and field‐tested a lightweight, low‐cost floating platform for drone‐assisted deployment and retrieval of ARUs in wetland interiors.
Akshit R. Suthar   +6 more
wiley   +1 more source

Changes of Microbial and Component Composition of Giraffe Milk During Mid‐ to Late Lactation

open access: yesZoo Biology, EarlyView.
Giraffe milk – graphical abstract text, Giraffe: late lactation milk, Involution at approximately 15 months of lactation, Content of saccharides and fat decrease, Protein content increases, Content of minerals increase, Microbiological quality high ABSTRACT The proximate, mineral and microbiological composition of milk from five giraffes from mid ...
G. Osthoff   +4 more
wiley   +1 more source

Cascade Deep Learning With Physics Guidance for Typhoon Intensity Prediction

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Typhoons pose a significant threat to both human safety and economic stability. As a crucial metric for assessing their destructive potential, typhoon intensity (TI) prediction has become an important research focus, with numerous methods developed.
Zhengya Sun   +4 more
wiley   +1 more source

Radio Interference Prediction Method for EHV AC Transmission Lines at High Altitudes Based on Long‐Term Observations

open access: yesHigh Voltage, EarlyView.
ABSTRACT Radio interference (RI) is a critical factor in the design of extra‐high voltage (EHV) transmission lines at high altitudes. To address the insufficient field data of RI on high‐altitude transmission lines, the lack of adequate validation for existing RI prediction methods, and the difficulty in assessing RI levels under various meteorological
Yemao Zhang   +6 more
wiley   +1 more source

PowerGPT‐R1: Vision‐Language Reinforcement Fine‐Tuning With Verifiable Reward for Power Inspection

open access: yesHigh Voltage, EarlyView.
ABSTRACT Vision‐driven intelligent power inspection systems have long faced the challenge of scarce high‐quality datasets in specialised domains, leading to limited performance of traditional deep learning methods (e.g., Faster‐RCNN) in few‐shot learning scenarios. Recent breakthroughs in language models, particularly the open‐source DeepSeek‐R1 model,
Yangyang Zhong   +12 more
wiley   +1 more source

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