[HTML][HTML] Battery state of health estimate strategies: from data analysis to end-cloud collaborative framework

K Yang, L Zhang, Z Zhang, H Yu, W Wang, M Ouyang… - Batteries, 2023 - mdpi.com
Lithium-ion batteries have become the primary electrical energy storage device in
commercial and industrial applications due to their high energy/power density, high …

EVOLVE: Towards converging big-data, high-performance and cloud-computing worlds

A Tzenetopoulos, D Masouros… - … , Automation & Test …, 2022 - ieeexplore.ieee.org
EVOLVE is a pan European Innovation Action that aims to fully-integrate High-Performance-
Computing (HPC) hardware with state-of-the-art software technologies under a unique …

Automatic Knowledge Graph matching via Self-adaptive Designed Genetic Programming

X Xue - Knowledge-Based Systems, 2024 - Elsevier
Abstract Knowledge Graph (KG) provides a structured representation of domain knowledge
by formally defining entities and their relationships. However, distinct communities tend to …

Object detection in driving datasets using a high-performance computing platform: A benchmark study

TE Kalayci, G Ozegovic, B Bricelj, M Lah… - IEEE Access, 2022 - ieeexplore.ieee.org
Nowadays, machine learning methods are increasingly used in different parts of
autonomous driving and driving assistance systems. Yet, data and computational …

Knowledge‐guided digital twin modeling method of generating hierarchical scenes for a high‐speed railway

H Zhang, W Zhao, Z Han, J Zhu, Q Zhu, Z Xu… - Transactions in …, 2023 - Wiley Online Library
China's railway construction is rapidly transitioning toward integrated management of
“stakeholders, management elements, and management processes”. Therefore …

Navigating change: an exploration of socio-epistemic process of extending Wikidata ontology with new properties

M Roszkowski - Journal of Documentation, 2024 - emerald.com
Purpose The paper addresses the issue of change in Wikidata ontology by exposing the role
of the socio-epistemic processes that take place inside the infrastructure. The subject of the …

Effects of a knowledge graph-based learning approach on student performance and experience

K Qu, KC Li, BTM Wong, M Liu… - … Journal of Mobile …, 2024 - inderscienceonline.com
This paper presents a knowledge graph-based learning approach, featuring knowledge
graphs for concept visualisation and information retrieval. It illustrates the development of a …

Knowledge Graph Construction and Digital Twin Modeling Integrating Multi-Modal Data

H Fangzhou, B Wei, W Zhiqi - Journal of Electrical Systems, 2024 - search.proquest.com
Supply chain analytics is focusing more and more attention on industrial logistics. Optimal
allocation of assets is severely restricted by the timing inconsistency and geographical …

Knowledge graphs embeddings for link prediction in the context of sustainability

Y Galluzzo, F Gennusa - European Conference on Advances in Databases …, 2023 - Springer
The use of a large amount of heterogeneous, interconnected and quality data is nowadays
essential to address challenges related to the development of solutions for “complex …

Knowledge Graphs Application to Life Science

A Sabia - International Conference on Complex, Intelligent, and …, 2024 - Springer
Abstract Knowledge Graphs find their application in various domains like Information
Retrieval, Social Network and Medicine. Specifically a Knowledge Graph is defined as a …