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September 5, 2025E3S Web of ConferencesOpen Access

Soft computing techniques for the assessment of energy content from waste: A mini review

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Authors

OAOluwatobi AdelekeTJTien‐Chien Jen

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Overview

This mini-review explores soft computing methods, showing potential improvements in energy content assessment for waste, highlighting sustainability challenges.

Key Points

  • Soft computing techniques improve energy recovery from waste, enhancing sustainability efforts.
  • Artificial neural networks, fuzzy logic, and evolutionary algorithms are key methodologies identified for waste energy content prediction.
  • This mini-review examines the recent advancements and applications in the waste-to-energy sector.
  • Challenges in implementing soft computing methods in waste-to-energy systems are discussed, indicating a need for further research.

Cite This Study

Adeleke et al. (2025) studied this question.

synapsesocial.com/papers/68c23965b210217d6477b1bchttps://doi.org/10.1051/e3sconf/202564702003
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