Results 111 to 120 of about 4,465,122 (351)

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez   +2 more
wiley   +1 more source

Improved SpaceTwist privacy protection method based on anchor optimization algorithm

open access: yesTongxin xuebao, 2017
With location-based services worldwide used,private location data appealed easily in query process which caused serious security problems.So the introduction of SpaceTwist incremental nearest neighbor query algorithm,proposes protection of privacy method
Zhen-peng LIU   +3 more
doaj   +2 more sources

A system for semantic query optimization [PDF]

open access: bronze, 1987
Sreekumar T. Shenoy   +1 more
openalex   +1 more source

Current and Future Cornea Chip Models for Advancing Ophthalmic Research and Therapeutics

open access: yesAdvanced Biology, EarlyView.
This review analyzes cornea chip technology as an innovative solution to corneal blindness and tissue scarcity. The examination encompasses recent developments in biomaterial design and fabrication methods replicating corneal architecture, highlighting applications in drug screening and disease modeling while addressing key challenges in mimicking ...
Minju Kim   +3 more
wiley   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani   +2 more
wiley   +1 more source

Adaptive Cost Model for Query Optimization

open access: yesИзвестия Иркутского государственного университета: Серия "Математика"
The principal component of conventional database query optimizers is a cost model that is used to estimate expected performance of query plans. The accuracy of the cost model has direct impact on the optimality of execution plans selected by the ...
N. K. Vasilenko   +2 more
doaj   +1 more source

Assessment of Urban Water Supply System Based on Query Optimization Strategy

open access: yesComplexity, 2018
As a complicated water treatment system project, an urban water supply plays a significant role in enhancing ecological civilization construction, promoting social-economic sustainable development, and improving the living environment of humans.
Shibao Lu   +3 more
doaj   +1 more source

Optimizing existential datalog queries [PDF]

open access: bronze, 1988
Raghu Ramakrishnan   +2 more
openalex   +1 more source

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