Results 51 to 60 of about 593 (116)

Data‐driven long‐term wind speed forecasting and techno‐economics of offshore wind‐to‐hydrogen production

open access: yesEnergy Conversion and Economics, Volume 6, Issue 6, Page 388-409, December 2025.
Abstract The economic viability of offshore wind‐to‐hydrogen systems depends heavily on the accuracy of wind‐speed forecasting. We evaluated three probabilistic scenario generators (historical bootstrapping, parametric Weibull fitting, and calibrated long short‐term memory (LSTM) sequence model) using a decision‐coupled framework. From 61 years of ERA5,
Prihandono Aditama, Abdul Wasy Zia
wiley   +1 more source

A Modular Microfluidic System to Generate Gradient Hydrogels with Simple‐to‐Complex Stiffness Profiles for Mechanobiology

open access: yesAdvanced Materials Technologies, Volume 10, Issue 22, November 19, 2025.
This work introduces a universal approach for fabricating stiffness gradient hydrogels with diverse stiffness ranges and gradient profiles. Gradient formation is achieved by precisely controlling the thermal landscape within a microfluidic system, which drives thermophoretic redistribution of precursor components in solution.
Shin Wei Chong   +9 more
wiley   +1 more source

Enhancing Soil Moisture Active–Passive Estimates with Soil Moisture Active–Passive Reflectometer Data Using Graph Signal Processing

open access: yesRemote Sensing
The Soil Moisture Active–Passive (SMAP) mission has greatly contributed to the use of remote sensing technologies for monitoring the Earth’s land surface and estimating geophysical parameters that influence the climate system.
Johanna Garcia-Cardona   +4 more
doaj   +1 more source

Liquid Metal Printed Zinc Tin Composite Oxide Nanosheets: A Platform for Multifunctional Sensing at Room Temperature

open access: yesAdvanced Science, Volume 12, Issue 41, November 6, 2025.
This work introduces a vacuum‐free liquid metal printing approach to create ultrathin zinc–tin composite oxide nanosheets. The material shows strong UV light responsiveness and high sensitivity to ammonia gas at room temperature, highlighting the potential of mixed metal oxides for advanced environmental sensors and optoelectronic device technologies ...
Vaishnavi Krishnamurthi   +15 more
wiley   +1 more source

Time-varying graph learning from smooth and stationary graph signals with hidden nodes

open access: yesEURASIP Journal on Advances in Signal Processing
Learning graph structure from observed signals over graph is a crucial task in many graph signal processing (GSP) applications. Existing approaches focus on inferring static graph, typically assuming that all nodes are available.
Rong Ye   +5 more
doaj   +1 more source

Comparing and scaling fMRI features for brain-behavior prediction. [PDF]

open access: yesImaging Neurosci (Camb)
Sieler MS   +3 more
europepmc   +1 more source

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