History EAIT 2024

History EAIT 2023

EAIT 2024-13-15, 2024 | Staffordshire University London Campus, London, UK

As a workshop of ICAAI 2024, the 5th International Conference on Education and Artificial Intelligence Technologies (EAIT 2024) was held in Staffordshire University London Campus, London, UK during October 17-19, 2024 successfully. The conferences are co-organized by Birmingham City University, UK, Science and Engineering Institute, USA, and Bubo.AI, UK, technically supported by Staffordshire University, UK, QAHE at Northumbria University London Campus, UK, Middlesex University London, UK, etc.

Accepted papers will be published to the special issue "International Journal of Information and Education Technology", with ISSN: 2010-3689, indexed by Scopus (Since 2019) , EI(INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref, etc. Published papers online here: https://www.ijiet.org/list-214-1.html and https://www.ijiet.org/list-216-1.html

About Conference

Our conferences are highlighted by three keynote speakers and one invited speaker, they are Prof. Floriano de Rango from University of Calabria, Italy; Prof. Grigoris Antoniou from Leeds Beckett University, UK; Prof. M S S El Namaki from VU School of Management, Switzerland and Dr. Angelo Genovese from University of Milan, Italy. They delivered their speeches and shared the latest research with the participants.

Parallel Sessions and Best Presentation Winners

After the speeches, 8 parallel sessions were held and presenters shared the latest research around the follow topics. One best presentation were selected from each session, evaluated from: originality; applicability; technical Merit; qualities of PPT; English. They were awarded the certificate after the finish of sessions. They are:

  • Session 1: Machine Learning Theory and Algorithm
    The Probabilistic Tsetlin Machine: A Novel Approach to Uncertainty Quantification
    Darshana Abeyrathna Kuruge, DNV, Norway
  • Session 2: Intelligent Information System Design and Management
    Privacy-preserving Bayesian Inference for Sparse Gaussian Processes
    Takayuki Nakachi, University of the Ryukyus, Japan
  • Session 3: Next Generation Artificial Intelligence Theory and Application
    Explainable Artificial Intelligence for Dependent Features: Additive Effects of Collinearity
    Ahmed M Salih, University of Leicester, UK
  • Session 4: Semantic Model and Natural Language Processing
    Application of Speech to Text Solutions for Manufacturing Environment with Industry Specific Lexicon
    Rakshit Arora, Seagate Technology, UK
  • Session 5: Intelligent Image Detection, Analysis and Application
    Are Transformers a Useful Tool for Tiny devices in Human Activity Recognition?
    Lorenzo Calisti, University of Urbino, Italy
  • Session 6: Computational Model and Control Based on Machine Learning
    Auto-Adaptive Diffusion Model-Based Uniformization of Automotive Camera Sensor Data
    Goutham Bharadwaj Ramesh, BMW Group, Germany
  • Session 7: Data-Driven Information Analysis and System Management
    Explaining Time Series Predictions via Relevant Shapelets
    Tameem Adel, National Physical Laboratory (NPL), UK
  • Session 8: Digital Image Analysis and Processing Technology
    ResNet18 Performance: Impact of Network Depth and Image Resolution on Image Classification
    Haixia Liu, University of the West of England, UK