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S. Mirjalili

4 papers hereh-index 13928 citations24 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.NE3
  • cs.AI1
same name
  • S. Mirjalili — 8 papers, h 10
  • S. Mirjalili — 1 paper, h 5
  • S. Mirjalili — 1 paper, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.AI2025

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact

Rizwan Qureshi, Ranjan Sapkota, Abbas Shah +16

Can machines truly think, reason and act in domains like humans? This enduring question continues to shape the pursuit of Artificial General Intelligence (AGI). Despite the growing…

cs.NE2025

Smart Buildings Energy Consumption Forecasting using Adaptive Evolutionary Ensemble Learning Models

Mehdi Neshat, Menasha Thilakaratne, Mohammed El-Abd +3

Smart buildings are gaining popularity because they can enhance energy efficiency, lower costs, improve security, and provide a more comfortable and convenient environment for buil…

cs.NE2025

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm

Mehdi Neshat, Nataliia Y. Sergiienko, Leandro S. P. da Silva +4

Floating hybrid wind-wave systems combine offshore wind platforms with wave energy converters (WECs) to create cost-effective and reliable energy solutions. Adequately designed and…

cs.NE2024

Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model

Mehdi Neshat, Michael Phipps, Chris A. Browne +2

Predicting hospital length of stay (LoS) stands as a critical factor in shaping public health strategies. This data serves as a cornerstone for governments to discern trends, patte…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.