Results 131 to 140 of about 50,082 (305)
The growing industrial waste production creates serious environmental and management problems, particularly in textile-intensive regions. This study examines textile-based refuse-derived fuel (t-RDF) as a sustainable waste-to-energy route.
Dipa Saha +4 more
doaj +1 more source
Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong +4 more
wiley +1 more source
SPARQL query processing with conventional relational database systems
This paper describes an evolution of the 3store RDF storage system, extended to provide a SPARQL query interface and informed by lessons learned in the area of scalable RDF ...
Harris, Stephen
core +1 more source
Effective Benchmarking for RDF Stores Using Synthetic Data
RDF stores are showing consistent performance improvements, with benchmarks showing that several are capable of effectively storing and querying over 109 triples.
schraefel, mc +2 more
core +1 more source
Deep Potential model switching accelerates molecular dynamics by using a faster 4 Å model for most timesteps and periodically applying a high‐accuracy 6 Å model. Validation on solid TiO2 and liquid PEG shows preserved RDF correlations and stable NPT behavior, while NVE energy‐drift analyses identify cases requiring additional validation.
Ryuya Kanda +6 more
wiley +1 more source
Converting and Completing RDF Based Ontology into Fuzzy Ontology Using Neural Tensor Network
The fuzzy ontology is an ontology in which some of its aspects are fuzzified for a special application. Based on these aspects, there are different definitions of fuzzy ontology, but here, a new definition is proposed based on the aspect of the facts. In
Farhad Abedini +2 more
doaj
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Publishing Persian Linked Data; Challenges and Lessons Learned
Linked Data as an important and novel subject has attracted great attention in the realm of the Semantic Web. Many works deal with publishing existing datasets as Linked Data.
Samad Paydar +3 more
doaj
An automated, AI‐powered system generates a 3D liver fat volumetric map for precise fat fraction quantification from MRI. By overcoming manual analysis constraints, it provides high‐fidelity spatial characterization of steatosis. This graphical abstract highlights a clinically robust framework that enables efficient, anatomically informed assessment ...
Bincan Deng +9 more
wiley +1 more source
RDF and XML: Towards a Unified Query Layer
One of the requirements of current Semantic Web applications is to deal with heterogeneous data. The Resource Description Framework (RDF) is the W3C recommended standard for data representation, yet data represented and stored using the Extensible Markup
Berrueta, Diego +15 more
core +2 more sources

