Mohammad Shehab

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammad Shehab trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Seyed Mohammad Mirjalili
  2. Laith Mohammad Abualigah
  3. Seyedali Mirjalili
  4. Dervis Karaboga
  5. Dan Simon
  6. Xin-She Yang
  7. Ramin Rajabioun
  8. A. El‐Fergany
  9. Zong Woo Geem
  10. R. Eberhart

Who trusts Mohammad Shehab overall

  1. Laith Mohammad Abualigah
  2. Mohammed Abdulaziz Aide Al-qaness
  3. Absalom El-Shamir Ezugwu

Papers from Mohammad Shehab's perspective

Ordered by how strongly the researchers Mohammad Shehab trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A new optimizer using particle swarm theory
  2. A New Heuristic Optimization Algorithm: Harmony Search
  3. Optimization by Simulated Annealing
  4. Grey Wolf Optimizer (Advances in Engineering Software)
  5. Biogeography-Based Optimization (IEEE Transactions on Evolutionary Computation)
  6. Parameter tuning for configuring and analyzing evolutionary algorithms (Swarm and Evolutionary Computation)
  7. ImageNet classification with deep convolutional neural networks
  8. Adaptation in Natural and Artificial Sys-tems: An Introductory Analysis with Applications to Biology
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION

Their papers