Results 91 to 100 of about 56,902 (196)

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source

Thermo-fluid dynamic design optimization of a concentric tube heat exchanger

Journal of Fluid Science and Technology, 2019
This study proposes a shape optimization approach for the cross-sectional shape of the inner pipe of a counterflow concentric tube heat exchanger. The cross-sectional shape of the inner pipe is expressed by an algebraic expression with a small number of ...
Tomohiro HIRANO, Mitsuo YOSHIMURA, Koji SHIMOYAMA, Atsuki KOMIYA   +3 more
doaj   +1 more source

Thermal Buffering, Heat Advection and Crustal Thinning in the Ryoke Metamorphic Complex, Yanai, Southwest Japan

Journal of Metamorphic Geology, EarlyView.
ABSTRACT The metamorphic zoning and geothermobarometry of the Ryoke metamorphic complex in the Yanai area, southwest Japan, show that its thermobaric structure was buffered by the dehydration melting of biotite. The temperatures over most of the area covered by the three high‐grade zones (8.5‐ to 19.0‐km depth) are consistent with those of the ...
Takeshi Ikeda, Kazuhiro Miyazaki, Yu Sugawara, Risa Hayashi   +3 more
wiley   +1 more source

Sediment transport and depositional hydrodynamics on the eastern Korean continental margin revealed by surface sediment granulometry

Sedimentology, EarlyView.
ABSTRACT Terrigenous sediments are transported from coastal areas and shelves to deeper continental margins by multiple processes. Understanding these processes is critical for evaluating the ecological impacts of fine‐grained sediment deposition and predicting future changes in sediment dispersal under rapid climate change.
Gyu Tae Sim, Jang Jun Bahk, Haedo Baek, Jun Ho Jang, In Kwon Um, Dong Eun Lee   +5 more
wiley   +1 more source

A New Kriging-Based Learning Function for Reliability Analysis and Its Application to Fatigue Crack Reliability

IEEE Access, 2019
In order to solve the problems in fatigue reliability analysis of mechanical components, a new learning function based on the Kriging model is proposed.
Xiaodong Chai, Zhili Sun, Jian Wang, Yibo Zhang, Zhenliang Yu   +4 more
doaj   +1 more source

Application of the NSGA-II Algorithm and Kriging Model to Optimise the Process Parameters for the Improvement of the Quality of Fresnel Lenses. [PDF]

Polymers (Basel), 2023
Chang H, Sun Y, Wang R, Lu S.
europepmc   +1 more source

Of Titans and Terraria: Exploring and Conceptualising Philanthropic Foundations Through the Lens of Metaphors

Journal of Philanthropy, Volume 31, Issue 2, May 2026.
ABSTRACT Addressing ongoing calls for a more robust understanding of philanthropic foundations, this paper uses metaphor analysis to map and analyse analogical metaphors on foundations—metaphors that make a direct comparison between philanthropic foundations and another domain—put forward in academic and non‐academic discourse.
Tobias Jung
wiley   +1 more source

Approach for the structural reliability analysis by the modified sensitivity model based on response surface function - Kriging model. [PDF]

Heliyon, 2022
Zhu L, Qiu J, Chen M, Jia M.
europepmc   +1 more source

A Machine Learning‐Based High‐Resolution Inventory of Soil Inorganic Carbon Across the Contiguous United States

Geophysical Research Letters, Volume 53, Issue 7, 16 April 2026.
Abstract Soil inorganic carbon (SIC) is critical for carbon sequestration, infiltration, and climate modeling, yet quantifying its precise spatial distribution at continental scales remains challengings. We introduce a high‐resolution (30 m) CONUS SIC map using machine learning (ML) models trained on the ISRIC World Soil Information Service (WoSIS ...
Zahra Ghahremani, David Huber, Arash Modaresi Rad, Mike J. Johnson, Jennifer Pierce   +4 more
wiley   +1 more source

Design and optimization of wall-climbing robot impeller by genetic algorithm based on computational fluid dynamics and kriging model. [PDF]

Sci Rep, 2022
Fang Y, Wang S, Cui D, Bi Q, Jiang R, Yan C.   +5 more
europepmc   +1 more source