Towards a digitally enabled intelligent coal mine integrated energy system: Evolution, conceptualization, and implementation

B Zeng, X Yang, P Hu, Y Wang, H Dong, D Gong… - Sustainable Energy …, 2025 - Elsevier
The consensus on energy-saving and low-carbon goals led to greater requirements for the
sustainable development of coal mines (CMs) worldwide. Against the above backdrop, the …

E-Science workflow: A semantic approach for airborne pollen prediction

S Hurtado, ML Antequera-Gómez… - Knowledge-Based …, 2024 - Elsevier
Allergic rhinitis has become a global health problem in recent decades because airborne
pollen is a primary trigger of this respiratory disorder. Moreover, pollinosis can exacerbate …

Semantic knowledge graphs for distributed data spaces: The public procurement pilot experience

C Guasch, G Lodi, SV Dooren - International Semantic Web Conference, 2022 - Springer
This paper presents the experience gained in the context of a European pilot project funded
by the ISA2 programme. It aims at constructing a semantic knowledge graph that establishes …

An empirical study of challenges in machine learning asset management

Z Zhao, Y Chen, AA Bangash, B Adams… - Empirical Software …, 2024 - Springer
Context: In machine learning (ML) applications, assets include not only the ML models
themselves, but also the datasets, algorithms, and deployment tools that are essential in the …

Improved Marine Predators Algorithm and Extreme Gradient Boosting (XGBoost) for shipment status time prediction

R Özdemir, M Taşyürek, V Aslantaş - Knowledge-Based Systems, 2024 - Elsevier
Abstract Shipment Status Time Prediction (STP) is a complex problem requiring expertise in
many disciplines, including Machine Learning (ML) and logistics management, to develop …

[HTML][HTML] BIGOWL4DQ: Ontology-driven approach for Big Data quality meta-modelling, selection and reasoning

C Barba-González, I Caballero, ÁJ Varela-Vaca… - Information and …, 2024 - Elsevier
Context: Data quality should be at the core of many Artificial Intelligence initiatives from the
very first moment in which data is required for a successful analysis. Measurement and …

Intelligent state assessment of complex autonomous objects based on wavelet analysis

I Kotenko, I Saenko, A Vinogradenko… - Engineering Applications of …, 2023 - Elsevier
The evolutionary development of complex autonomous technical objects (CATOs), which
include bodynets, unmanned vehicles, aircraft, and other robotic systems, is characterized …

Automated Natural Language Processing-Based Supplier Discovery for Financial Services

M Papa, I Chatzigiannakis, A Anagnostopoulos - Big Data, 2024 - liebertpub.com
Public procurement is viewed as a major market force that can be used to promote
innovation and drive small and medium-sized enterprises growth. In such cases …

[HTML][HTML] An ontology-based secure design framework for graph-based databases

M Paneque, M del Mar Roldán-García, C Blanco… - Computer Standards & …, 2024 - Elsevier
Graph-based databases are concerned with performance and flexibility. Most of the existing
approaches used to design secure NoSQL databases are limited to the final implementation …

Sahws: Iot-enabled workflow scheduler for next-generation hadoop cluster

J Koo, IF Siddiqui, BS Chowdhry… - … Global Conference on …, 2022 - ieeexplore.ieee.org
Big data analytics processes large-scale datasets in the next-generation based distributed
computing environment. This task is carried out through an ecosystem named Hadoop that …