Application of machine learning in monitoring fouling in heat exchangers in chemical engineering: A systematic review

Documenti analoghi

• Application of artificial neural networks and Langmuir and Freundlich isotherm models to the removal of textile dye using biosorbents: A comparative study among methodologies
  di: Gustavo Petroli, et al.
  Pubblicazione: (2024)
• Preface to the special issue section: Artificial intelligence and machine learning applications in chemical engineering
  di: Simant Upreti
  Pubblicazione: (2024)
• Transforming chemical process engineering: The role of AI and machine learning in revolutionizing process systems
  di: Somnath Chowdhury, et al.
  Pubblicazione: (2025)
• Deep learning in chemical engineering: Strengths, weaknesses, opportunities, and threats
  di: Konatala Satya Nooka Venkata Prasad, et al.
  Pubblicazione: (2026)
• Recent advances of nanofluids application in helical coiled tube heat exchanger: A comprehensive review
  di: Farhan Lafta Rashid, et al.
  Pubblicazione: (2026)