• A Grid-Based Swarm Intelligence Algorithm for Privacy-Preserving Data Mining 

      Wu, Tsu-Yang; Lin, Chun Wei; Zhang, Yuyu; Chen, Chun-Hao (Journal article; Peer reviewed, 2019)
      Privacy-preserving data mining (PPDM) has become an interesting and emerging topic in recent years because it helps hide confidential information, while allowing useful knowledge to be discovered at the same time. Data ...
    • Bet-GAT: An Efficient Centrality-Based Graph Attention Model for Semi-Supervised Node Classification 

      Verma, Atul Kumar; Saxena, Rahul; Jadeja, Mahipal; Bhateja, Vikrant; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)
      Graph Neural Networks (GNNs) have witnessed great advancement in the field of neural networks for processing graph datasets. Graph Convolutional Networks (GCNs) have outperformed current models/algorithms in accomplishing ...
    • CFD estimation of a resistance coefficient for an egg-shaped geometric dome 

      Domagala, Mariusz; Aga, Halvor Larsson; Bikass, Saeed; Momeni, Hassan; Stenfelt, Gloria Maria (Peer reviewed; Journal article, 2022)
    • Current Challenges Supporting School-Aged Children with Vision Problems: A Rapid Review 

      Ali, Qasim; Heldal, Ilona; Helgesen, Carsten Gunnar; Krumina, Gunta; Costescu, Cristina; Kovari, Attila; Katona, Jozsef; Thill, Serge (Peer reviewed; Journal article, 2021)
      Many children have undetected vision problems or insufficient visual information processing that may be a factor in lower academic outcomes. The aim of this paper is to contribute to a better understanding of the importance ...
    • Improving Monte Carlo Tree Search with Artificial Neural Networks without Heuristics 

      Cotarelo, Alba; García-Díaz, Vicente; Núñez-Valdez, Edward Rolando; García, Cristian González; Gomez, Alberto; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Monte Carlo Tree Search is one of the main search methods studied presently. It has demonstrated its efficiency in the resolution of many games such as Go or Settlers of Catan and other different problems. There are several ...
    • Machine Learning Approach Regarding the Classification and Prediction of Dog Sounds: A Case Study of South Indian Breeds 

      Mohandas, Prabu; Anni, Jerline Sheebha; Hasikin, Khairunnisa; Velauthapillai, Dhayalan; Raj, Veena; Murugathas, Thanihaichelvan; Azizan, Muhammad Mokhzaini; Thanasekaran, Rajkumar (Peer reviewed; Journal article, 2022)
      Barking is a form of vocal communication made by dogs. Each type of bark made by dogs has a distinct context. The classification of dog bark pattern will aid in the understanding of barking action. In this study, a machine ...
    • Machine Learning Approach Regarding the Classification and Prediction of Dog Sounds: A Case Study of South Indian Breeds 

      Mohandas, Prabhu; Jerline Sheebha, Anni; Khairunnisa, Hasikin; Velauthapillai, Dhayalan; Veena, Raj; Thanihaichelvan, Murugathas; Muhammad Mokhzaini, Azizan; Rajkumar, Thanasekaran (Peer reviewed; Journal article, 2022)
      Barking is a form of vocal communication made by dogs. Each type of bark made by dogs has a distinct context. The classification of dog bark pattern will aid in the understanding of barking action. In this study, a machine ...
    • Maintenance of discovered high average-utility itemsets in dynamic databases 

      Zhang, Binbin; Lin, Jerry Chun-Wei; Shao, Yinan; Fournier-Viger, Philippe; Djenouri, Youcef (Journal article; Peer reviewed, 2018)
      High-utility itemset mining (HUIM) is an extension of traditional frequent itemset mining, which considers both quantities and unit profits of items in a database to reveal highly profitable itemsets regardless of their ...
    • Method for measuring cooling efficiency ofwater droplets impinging onto hot metal discs 

      Bjørge, Joachim Søreng; Metallinou, Maria-Monika; Log, Torgrim; Frette, Øyvind (Journal article; Peer reviewed, 2018)
      The present work outlines a method for measuring the cooling efficiency of droplets impinging onto hot metal discs in the temperature range of 85 °C to 400 °C, i.e., covering the boiling regimes experienced when applying ...
    • A multi-layer perceptron network for perfusion parameter estimation in DCE-MRI studies of the healthy kidney 

      Klepaczko, Artur; Strzelecki, Michał; Kociołek, Marcin; Eikefjord, Eli Bjøvad; Lundervold, Arvid (Peer reviewed; Journal article, 2020)
      Background: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is an imaging technique which helps in visualizing and quantifying perfusion—one of the most important indicators of an organ’s state. This paper ...
    • A One-Phase Tree-Structure Method to Mine High Temporal Fuzzy Utility Itemsets 

      Hong, Tzung-Pei; Lin, Cheng-Yu; Huang, Wei-Ming; Li, Shu-Min; Wang, Shyue-Liang; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Compared to fuzzy utility itemset mining (FUIM), temporal fuzzy utility itemset mining (TFUIM) has been proposed and paid attention to in recent years. It considers the characteristics of transaction time, sold quantities ...
    • Remote Virtual Simulation for Incident Commanders — Cognitive Aspects 

      Wijkmark, Cecilia Hammar; Log, Maria-Monika Metallinou; Heldal, Ilona (Peer reviewed; Journal article, 2021)
      Due to the COVID-19 restrictions, on-site Incident Commander (IC) practical training and examinations in Sweden were canceled as of March 2020. The graduation of one IC class was, however, conducted through Remote Virtual ...