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Innovations in Deep Learning and Intelligent Systems for Healthcare and Engineering Applications

Author

Listed:
  • Hakim Bendjenna
  • Lawrence Chung
  • Abdallah Meraoumia

Abstract

This editorial summarises the special issue entitled "Future Trends of Machine Intelligence in Science and Industry", which brings together several pieces of research that showcase the transformative impact of deep learning and intelligent systems across various domains, including healthcare, security and communication networks. By exploring advanced methodologies and innovative applications, this collection highlights significant strides in medical imaging, mental health diagnosis, biometric identification, smart grid management and adaptive e-learning. The featured articles delve into topics such as breast cancer detection using UNET architecture, psychodiagnosis prediction with deep learning, and blockchain-secured IoT systems for healthcare. Additionally, the issue covers revolutionary approaches in historical manuscript analysis, and contactless palm-print recognition. Through these comprehensive studies, we aim to inspire further advancements and cross-disciplinary collaborations, pushing the boundaries of what is achievable with modern technology.

Suggested Citation

  • Hakim Bendjenna & Lawrence Chung & Abdallah Meraoumia, 2024. "Innovations in Deep Learning and Intelligent Systems for Healthcare and Engineering Applications," Acta Informatica Pragensia, Prague University of Economics and Business, vol. 2024(2), pages 165-167.
    • Handle: RePEc:prg:jnlaip:v:2024:y:2024:i:2:id:247:p:165-167
    DOI: 10.18267/j.aip.247
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