Results 201 to 210 of about 790,581 (296)

Emergence of Calabi-Yau manifolds in high-precision black-hole scattering. [PDF]

open access: yesNature
Driesse M   +7 more
europepmc   +1 more source

Exploring Salinity Gradient Power in Sweden: Key Factors, Machine Learning Predictive Modeling, and Life Cycle Assessment

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
This study optimizes salinity gradient power generation using reverse electrodialysis (RED) by analyzing key operational parameters through factorial experiments and machine learning. Life cycle assessment reveals RED environmental impact and sustainability compared to other renewables, offering insights into future material choices and system ...
Younes Mohammadi   +5 more
wiley   +1 more source

Performance Rate Analysis in Photovoltaic Solar Plants by Machine Learning

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Thermal imaging and deep learning are combined to detect faults in photovoltaic panels inspected by autonomous vehicles. A robust pipeline classifies panel defects from aerial thermograms using a convolutional neural network, supporting both real‐time and offline analysis.
Alba Muñoz del Rio   +2 more
wiley   +1 more source

Supply chain risk in grain trading: Inventories as real options for shipping grain

open access: yesAgribusiness, EarlyView.
Abstract Integrating trading and logistics is an important challenge in commodity trading. Trading and logistics are strategic decisions and are integral to most commodities including grain shipping by rail, in addition to other modes (barges, ocean shipping). There are substantial risks, such as the ordering and placement of rail cars.
William W. Wilson, Jesse Klebe
wiley   +1 more source

Volatility analysis and forecasting of vegetable prices using an ARMA‐GARCH model: An application of the CF filter and seasonal adjustment method to Korean green onions

open access: yesAgribusiness, EarlyView.
Abstract The vegetable market experiences significant price fluctuations due to the complex interplay of trend, cyclical, seasonal, and irregular factors. This study takes Korean green onions as an example and employs the Christiano–Fitzgerald filter and the CensusX‐13 seasonal adjustment methods to decompose its price into four components: trend ...
Yiyang Qiao, Byeong‐il Ahn
wiley   +1 more source

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