Mohsen Guizani
Computer Networks and Communications · 2006–2021
A researcher in the Science corpus: 32 papers; trusts 377 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 378 citations into it; #1,843 of 9,886 by trust here, #136 by citations
- Artificial Intelligence — 302 citations into it; #20,611 of 35,345 by trust here, #6,422 by citations
- Electrical and Electronic Engineering — 213 citations into it; #10,844 of 16,539 by trust here, #3,188 by citations
- Computer Vision and Pattern Recognition — 181 citations into it; #20,765 of 21,575 by trust here, #3,426 by citations
- Information Systems — 84 citations into it
- Signal Processing — 84 citations into it
- Aerospace Engineering — 62 citations into it
- Federated & Distributed Learning — 43 citations into it
Whom Mohsen Guizani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
- Ilya Sutskever
- Kaiming He
- L. Eon Bottou
- Alex Graves
- J. Urgen Schmidhuber
Who trusts Mohsen Guizani overall
- M. Mohammadi
- Fatima Hussain
- Ala Al-Fuqaha
- Dinh C. Nguyen
- Sharief M. A. Oteafy
- Wei Yu
- Mingzhe Chen
- Abdullah Alsaedi
- Yasir Saleem
- Ayca Kirimtat
Papers from Mohsen Guizani's perspective
Ordered by how strongly the researchers Mohsen Guizani trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- 5G wireless backhaul networks: challenges and research advances (2014) — 598 citations
- Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges (2018) — 1,931 citations
- 5G Millimeter-Wave Antenna Array: Design and Challenges (2017) — 357 citations
- Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services (2018) — 376 citations
- Internet of Things Architecture: Recent Advances, Taxonomy, Requirements, and Open Challenges (2017) — 578 citations
- Smart Cities: A Survey on Data Management, Security, and Enabling Technologies (2017) — 515 citations
- Edge Computing in the Industrial Internet of Things Environment: Software-Defined-Networks-Based Edge-Cloud Interplay (2018) — 309 citations
- Home M2M networks: Architectures, standards, and QoS improvement (2011) — 452 citations
- Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges (2016) — 372 citations
- A Survey on Mobile Anchor Node Assisted Localization in Wireless Sensor Networks (2016) — 415 citations
- A survey of secure mobile Ad Hoc routing protocols (2008) — 397 citations
- CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques (2021) — 401 citations
- Digital Twin for Intelligent Context-Aware IoT Healthcare Systems (2021) — 332 citations
- A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond (2021) — 650 citations
- A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques (2020) — 315 citations
- Selection of effective machine learning algorithm and Bot-IoT attacks traffic identification for internet of things in smart city (2020) — 327 citations
- A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact (2020) — 829 citations
- Blockchain-Assisted Secure Device Authentication for Cross-Domain Industrial IoT (2020) — 327 citations
- Reliable Federated Learning for Mobile Networks (2019) — 561 citations
- Privacy-Preserving Support Vector Machine Training Over Blockchain-Based Encrypted IoT Data in Smart Cities (2019) — 359 citations