Results 151 to 160 of about 3,622,651 (382)

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

NITELIGHT: A Graphical Tool for Semantic Query Construction

open access: yes, 2008
Query formulation is a key aspect of information retrieval, contributing to both the efficiency and usability of many semantic applications. A number of query languages, such as SPARQL, have been developed for the Semantic Web; however, there are, as yet,
Braines, Dave   +3 more
core  

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

Query languages for the casual user [PDF]

open access: bronze, 1983
William C. Ogden, Susan R. Brooks
openalex   +1 more source

Exploring Dipolar Dynamics and Ionic Transport in Metal‐Organic Frameworks: Experimental and Theoretical Insights

open access: yesAdvanced Functional Materials, EarlyView.
In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund   +6 more
wiley   +1 more source

Topological Insulator Layered Bi2Te3 Based 3D‐Printed Nanocarbon Electrode for Rechargeable Aqueous Ammonium‐Ion Battery

open access: yesAdvanced Functional Materials, EarlyView.
In this work, Bi2Te3 is integrated into a 3D‐printed nanocarbon electrode for NH4+ storage. A rocking‐chair battery with CuHCF as the cathode delivers a high energy density of 134.8 Wh kg−1 and a power density of 1800 W kg−1. The design allows easy recovery of carbon additives, promoting sustainability and recyclability in next‐generation aqueous ...
Sunny Nandi, Martin Pumera
wiley   +1 more source

Proving correctness of the query containment solver SpeCS using SPARQL set semantics

open access: yesWeb Semantics
Solving the sparql query containment problem is of fundamental importance for the verification and optimization of sparql queries. With the increasing popularity of the Semantic Web and its applications, sparql query containment solvers face significant ...
Mirko Spasić   +1 more
doaj   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

open access: yesAdvanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu   +5 more
wiley   +1 more source

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