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  • Article
  • Open Access

A Physics-Informed Neural Network Aided Venturi–Microwave Co-Sensing Method for Three-Phase Metering

  • Jinhua Tan,
  • Yuxiao Yuan,
  • Ying Xu,
  • Jingya Wang,
  • Zirui Song,
  • Rongji Zuo,
  • Zhengyang Chen and
  • Chao Yuan

Addressing the challenges of online measurement of oil-gas-water three-phase flow under high gas–liquid ratio (GVF > 90%) conditions (fire-driven mining, gas injection mining, natural gas mining), which rely heavily on radioactive sources, t...

  • Article
  • Open Access
27 Views
45 Pages

A Hybrid Gradient-Based Optimiser for Solving Complex Engineering Design Problems

  • Jamal Zraqou,
  • Riyad Alrousan,
  • Zaid Khrisat,
  • Faten Hamad,
  • Niveen Halalsheh and
  • Hussam Fakhouri

This paper proposes JADEGBO, a hybrid gradient-based metaheuristic for solving complex single- and multi-constraint engineering design problems as well as cost-sensitive security optimisation tasks. The method combines Adaptive Differential Evolution...

  • Article
  • Open Access
21 Views
19 Pages

Do LLMs Speak BPMN? An Evaluation of Their Process Modeling Capabilities Based on Quality Measures

  • Panagiotis Drakopoulos,
  • Panagiotis Malousoudis,
  • Nikolaos Nousias,
  • George Tsakalidis and
  • Kostas Vergidis

Large Language Models (LLMs) are emerging as powerful tools for automating business process modeling, promising to streamline the translation of textual process descriptions into Business Process Model and Notation (BPMN) diagrams. However, the exten...

  • Communication
  • Open Access
75 Views
15 Pages

This paper presents the development and implementation of a consumer Digital Twin (DT) for energy demand prediction under the SENDER (Sustainable Consumer Engagement and Demand Response) project, funded by HORIZON 2020. This project aims to engage co...

  • Article
  • Open Access
77 Views
24 Pages

Exploring emotions in organization settings, particularly in feedback on organizational welfare programs, is critical for understanding employee experiences and enhancing organizational policies. Recognizing emotions from a conversation (i.e., leavin...

  • Article
  • Open Access
78 Views
21 Pages

Crossland Tankers is a leading manufacturer of bulk-load road tankers in Northern Ireland. These tankers transport up to forty thousand litres of liquid over long distances across diverse road conditions. Liquid sloshing within the tank has a signifi...

  • Review
  • Open Access
153 Views
19 Pages

The fields of medical diagnostics, nephrology, and the sequencing of cellular genetic material are pivotal for precise quantification of kidney diseases. Single-cell sequencing, enhanced by automation and software tools, enables efficient examination...

  • Article
  • Open Access
192 Views
29 Pages

SARIMA vs. Prophet: Comparative Efficacy in Forecasting Traffic Accidents Across Ecuadorian Provinces

  • Wilson Chango,
  • Ana Salguero,
  • Tatiana Landivar,
  • Roberto Vásconez,
  • Geovanny Silva,
  • Pedro Peñafiel-Arcos,
  • Lucía Núñez and
  • Homero Velasteguí-Izurieta

This study aimed to evaluate the comparative predictive efficacy of the SARIMA statistical model and the Prophet machine learning model for forecasting monthly traffic accidents across the 24 provinces of Ecuador, addressing a critical research gap i...

  • Article
  • Open Access
159 Views
17 Pages

Biofouling on aquaculture netting increases hydrodynamic drag and restricts water exchange across net cages. The solidity ratio is introduced as a quantitative parameter to characterize fouling severity. Towing tank experiments and computational flui...

  • Article
  • Open Access
150 Views
29 Pages

Developing effective CAR-T cell therapy for solid tumours remains challenging because of biological barriers such as antigen escape and an immunosuppressive microenvironment. The aim of this study is to develop a mathematical model of the spatio-temp...

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Computation - ISSN 2079-3197