Muhammad Imran

Computer Networks and Communications · Future generations computer systems · 2017–2019

A researcher in the Science corpus: 7 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Muhammad Imran trusts overall

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

  1. Ejaz Ahmed
  2. Geoffrey E. Hinton

Papers from Muhammad Imran's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. A Fast Learning Algorithm for Deep Belief Nets
  4. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
  5. MapReduce: simplified data processing on large clusters
  6. Gradient-based learning applied to document recognition
  7. Internet of Things (IoT): A vision, architectural elements, and future directions
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Internet of Things for Smart Cities (IEEE Internet of Things Journal)
  10. An Information Framework for Creating a Smart City Through Internet of Things (IEEE Internet of Things Journal)

Their papers