Muhammad Ali Imran
Electrical and Electronic Engineering · 2011–2020
A researcher in the Science corpus: 12 papers; trusts 16 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 55 citations into it; #1,338 of 16,539 by trust here, #3,605 by citations
- Computer Networks and Communications — 51 citations into it; #2,980 of 9,886 by trust here, #1,955 by citations
- Information Systems — 14 citations into it
- Aerospace Engineering — 11 citations into it
- Reinforcement Learning — 6 citations into it
Whom Muhammad Ali Imran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- S. Kotsiantis
- J. Kolter
- Ejder Bastug
- Ronald R. Coifman
- Pol Blasco
- Richard S. Sutton
- Lawrence R. Rabiner
- Xiaofei Wang
- Michael Zeifman
- Ali Imran
Who trusts Muhammad Ali Imran overall
- Zhiguo Ding
- Paulo Valente Klaine
- Chaoyun Zhang
- Imtiaz Parvez
- Ijaz Ahmad
- Yuanwei Liu
- Paul Patras
- Mamta Agiwal
- Alessio Zappone
- Ali Rahmati
Papers from Muhammad Ali Imran's perspective
Ordered by how strongly the researchers Muhammad Ali Imran trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Playing Atari with Deep Reinforcement Learning (arXiv.org)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- A Survey on Transfer Learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- A tutorial on hidden Markov models and selected applications in speech recognition
- Learning Multiple Layers of Features from Tiny Images
Their papers
- MmWave massive-MIMO-based wireless backhaul for the 5G ultra-dense network (2015) — 411 citations
- Uplink non-orthogonal multiple access for 5G wireless networks (2014) — 357 citations
- A Survey of Self Organisation in Future Cellular Networks (2013) — 419 citations
- A Survey of Machine Learning Techniques Applied to Self-Organizing Cellular Networks (2017) — 414 citations
- Non-Orthogonal Multiple Access (NOMA) for Future Radio Access (2017) — 335 citations
- How much energy is needed to run a wireless network? (2011) — 1,582 citations
- Challenges in 5G: how to empower SON with big data for enabling 5G (2014) — 434 citations
- 5G Backhaul Challenges and Emerging Research Directions: A Survey (2016) — 514 citations
- Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey (2012) — 963 citations
- A Scalable Multi-Layer PBFT Consensus for Blockchain (2020) — 348 citations
- Distributed Drone Base Station Positioning for Emergency Cellular Networks Using Reinforcement Learning (2018) — 101 citations
- Non-Orthogonal Multiple Access (NOMA) for cellular future radio access (2017) — 523 citations