Results 201 to 210 of about 1,036,890 (297)

Climate‐Driven Mangrove Dieback and Recovery: A Case Study in Albert and Leichhardt Rivers, Australia

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Cycles of dieback and recovery drove mangrove forest dynamics at the Albert and Leichhardt Rivers (Gulf of Carpentaria, Queensland, Australia) over 36 years (1987–2023). Landward margins were the most affected by reduced tidal inundation when the alignment of low lunar declination suppressed tidal range and extreme El Niño phases lowered mean sea level.
Rogerio Victor S. Gonçalves   +4 more
wiley   +1 more source

Improved Cerrado Wetland Mapping Through Seasonal Moisture Metrics, Terrain Information and Semantic Segmentation

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Brazil's Cerrado valley wetlands—swamp savanna and gallery forest—are highly important for the biome's water cycle and carbon storage and are susceptible to degradation from the impacts of land use expansion and the climate crisis. In support of their detailed monitoring and assessment, we developed and tested a transferable mapping approach that ...
Felix Beer   +6 more
wiley   +1 more source

Three‐Year Propagation Experiment at Ku‐, Ka‐, and Q‐Band in French West Indies

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT From January 2021 to December 2023, the Office National d'Etudes et de Recherches Aérospatiales (ONERA) and the Centre National d'Etudes Spatiales (CNES) conducted a three‐year Earth‐space propagation measurement campaign in Guadeloupe. The experiment used beacon receivers deployed in Pointe‐à‐Pitre airport to record signals at 11.2, 19.7, and
Jean‐Pascal Monvoisin   +3 more
wiley   +1 more source

Mexican sign language 3D static alphabet dataset. [PDF]

open access: yesData Brief
Rios-Figueroa HV, Sosa-Jiménez CO.
europepmc   +1 more source

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

open access: yesSmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo   +2 more
wiley   +1 more source

Outer‐Sphere Tuning of Synthetic Iron–Sulfur Clusters Within Nanoscale Cage Frameworks

open access: yesSmall, EarlyView.
Noncovalent encapsulation of a synthetic iron–sulfur cluster within hydrophobic, naphthalenediimide (NDI)‐paneled cages is shown to lead to dramatic changes in the electronic structure and covalency of the Fe─S core. ABSTRACT As atomic‐scale archetypes for multi‐electron transfer, iron–sulfur clusters are compelling candidates for the design of redox ...
Rupal Baliyan   +3 more
wiley   +1 more source

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