Results 61 to 70 of about 24,237,799 (300)

Virtual Geographic Simulation of Light Distribution within Three-Dimensional Plant Canopy Models

ISPRS International Journal of Geo-Information, 2017
Virtual geographic environments (VGEs) have been regarded as an important new means of simulating, analyzing, and understanding complex geological processes. Plants and light are major components of the geographic environment.
Liyu Tang, Dan Yin, Shuwei Chen, Chongcheng Chen, Hongyu Huang, Ding Lin   +5 more
doaj   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Mining Frequent Item Sets Data Streams using "ÉclatAlgorithm" [PDF]

, 2014
Frequent pattern mining is the process of mining data in a set of items or some patterns from a largedatabase. The resulted frequent set data supports the minimum support threshold.
Richhariya, Pankaj; Computer Science Department BITS, Bhopal, India, Khambra, Geetanjli; Computer Science Department BITS, Bhopal, India   +1 more
core   +1 more source

TPP-SAM: A Trajectory Point Prompting Segment Anything Model for Zero-Shot Road Extraction From High-Resolution Remote Sensing Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The segment anything model (SAM) enables zero-shot or interactive segmentation of visual content and has shown remarkable performance with natural images.
Tao Wu, Yaling Hu, Jianxin Qin, Xinyi Lin, Yiliang Wan   +4 more
doaj   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Data Mining Based on Association Rule Privacy Preserving [PDF]

, 2015
The security of the large database that contains certain crucial information, it will become a serious issue when sharing data to the network against unauthorized access.
Dubey, Sulakshana; Department of Computer Science, Unique College Bhopal, Sen, Arun; Department of Computer Science, Nutan College Bhopal   +1 more
core   +1 more source

The Future of Data Mining

, 2022
The purpose of this book is to discuss data mining, which is a subset of data science, from a variety of perspectives. With the technological advances of recent years, new software and hardware-based systems are available in most business environments. With these systems, data production continues to increase in personal, corporate, commercial and many
openaire   +2 more sources