Results 101 to 110 of about 4,106 (250)

Synthetic Data Generation from JSON Schemas.

, 2022
This document describes the steps taken in the development of DataGen From Schemas. This new version of DataGen is an application that makes it possible to automatically generate representative synthetic datasets from JSON and XML schemas, in order to facilitate tasks such as the thorough testing of software applications and scientific endeavors in ...
Hugo André Coelho Cardoso, José Carlos Ramalho   +1 more
openaire   +3 more sources

bowtie-json-schema/bowtie: v0.86.0

, 2023
Full Changelog: https://github.com/bowtie-json-schema/bowtie/compare/v0.85.1...v0.86.
Julian Berman, Greg Dennis, Anish Kshirsagar, Noman Dhoni, Agnivesh Chaubey, Akanksha Kushwaha, Santhosh Kumar Tekuri, Jason Desrosiers   +7 more
core   +1 more source

DeepSeek‐Lattice‐KG: A Compact Language Model With Knowledge Graph Augmentation for Lattice Structure Design

Materials Genome Engineering Advances, EarlyView.
DeepSeek‐Lattice‐KG integrates a domain‐adapted 14B LLM with a Neo4j lattice knowledge graph distilled from 50,000 papers. It analyzes queries, retrieves supporting subgraphs, and generates grounded answers; on a 2100‐question, six‐domain benchmark, it achieves 94.8% accuracy.
Zhiyang Shu, Chao Wang, Changsheng Feng, Feiyu Zhou, Xueyan Chen, Yan Chen, Yilun Liu   +6 more
wiley   +1 more source

TopoHub: New dataset of CAIDA AS-level layer 3 topologies

SoftwareX
This article reports the evolution of TopoHub, an open repository of network topologies. The most notable addition in the latest version 1.5 is a new category of AS-level layer 3 topologies derived from the CAIDA Ark Internet Topology Data Kit (ITDK). We
Piotr Jurkiewicz
doaj   +1 more source

bowtie-json-schema/bowtie: v2023.06.2

, 2023
Full Changelog: https://github.com/bowtie-json-schema/bowtie/compare/v2023.06.1...v2023.06.
Julian Berman, Greg Dennis, harrel56, Vishrut Aggarwal, Anish Kshirsagar, Noman Dhoni, Agnivesh Chaubey, Akanksha Kushwaha, Santhosh Kumar Tekuri, Jason Desrosiers   +9 more
core   +1 more source

MatterMind: A User‐Friendly Material Design Platform Assisted by Large Language Model

Materials Genome Engineering Advances, EarlyView.
The lack of user‐friendly tool interfaces has restricted the popularization of data‐driven methods in scientific research. In this study, we present MatterMind, a user‐friendly, agentic interface that closes the loop between first‐principles computation, generative structure design, and large language model (LLM) analysis. ABSTRACT Machine learning and
Kaiyang Xu, Yujun Lu, Lifeng Liu, Lei Zhang   +3 more
wiley   +1 more source

Burhan: A Constraint-Based Engineering Framework for Computational Rhetorical Semantics in Classical Arabic

IEEE Access
Figurative language poses persistent challenges for Natural Language Processing (NLP), as distributional representations struggle to model non-compositional semantic mappings.
Reema G. Al-Anazi, Wadee A. Nashir, Badriyya B. Al-Onazi, Anoud A. Alhamad, Hassan Alshamrani, Wala F. Bin Subait   +5 more
doaj   +1 more source

bowtie-json-schema/bowtie: v2023.05.12

, 2023
Full Changelog: https://github.com/bowtie-json-schema/bowtie/compare/v2023.05.11...v2023.05 ...
Julian Berman, Greg Dennis, Vishrut Aggarwal, Anish Kshirsagar, Noman Dhoni, Agnivesh Chaubey, Akanksha Kushwaha, Santhosh Kumar Tekuri, Jason Desrosiers   +8 more
core   +1 more source

CEEN: A Control Software for Coupled Electrochemistry, EPR, and NMR for Redox Flow Battery and Electrosynthesis Research

Magnetic Resonance in Chemistry, EarlyView.
We present CEEN: a Python‐based control software for coupled electrochemistry, EPR, and NMR for redox flow battery (RFB) and electrosynthesis research. We demonstrate CEEN through practical applications relevant to aqueous organic and inorganic RFB and electrochemical synthesis research. The same setup can be readily used to study any (electrochemical)
Vince Elter, Noël de Kler, Giu A. Silva Testa, Zhiyu Zhu, Federico Paruzzo, Simon Bruderer, Evan Wenbo Zhao   +6 more
wiley   +1 more source

An auditable no-code platform for building and evaluating hybrid conversational agents

Journal of Information and Telecommunication
While Large Language Models (LLMs) have advanced conversational agents, creating reliable, governable chatbots remains a specialized task, often inaccessible to non-programmers.
Binh Vu, Shashank Barai, Swati Chandna, Mehrdad Jalali   +3 more
doaj   +1 more source