Sherali Zeadally
Computer Networks and Communications · 2010–2021
A researcher in the Science corpus: 19 papers; trusts 81 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 177 citations into it; #2,879 of 9,886 by trust here, #731 by citations
- Electrical and Electronic Engineering — 169 citations into it; #4,499 of 16,539 by trust here, #3,761 by citations
- Artificial Intelligence — 49 citations into it; #24,824 of 35,345 by trust here, #19,018 by citations
- Computer Vision and Pattern Recognition — 41 citations into it
- Biomedical Engineering — 25 citations into it
- Automotive Engineering — 23 citations into it
- Control and Systems Engineering — 19 citations into it
- Aerospace Engineering — 11 citations into it
Whom Sherali Zeadally trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Claus-Peter Schnorr
- Ian F. Akyildiz
- P. Koopman
- H. F. Durrant-Whyte
- Joseph Mitola III
- Jérôme Härri
- Pim Tuyls
- Andreas Geiger
- Nikolaos A. Pantazis
- Maxim Raya
Who trusts Sherali Zeadally overall
- Rasheed Hussain
- Udit Satija
- Jiadai Wang
- Mohammed Abdulkarem
- Juan Contreras-Castillo
- Naser Hossein Motlagh
- Abdelhamid Mellouk
- Tie Qiu
Papers from Sherali Zeadally's perspective
Ordered by how strongly the researchers Sherali Zeadally 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- 5G for Vehicular Communications (2018) — 304 citations
- Autonomous Cars: Research Results, Issues, and Future Challenges (2019) — 541 citations
- Energy harvesting in wireless sensor networks: A comprehensive review (2016) — 1,147 citations
- Vehicular ad hoc networks (VANETS): status, results, and challenges (2010) — 1,268 citations
- Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies (2015) — 433 citations
- Enabling Technologies for Green Internet of Things (2017) — 325 citations
- Internet of Vehicles: Architecture, Protocols, and Security (2018) — 626 citations
- VANET-cloud: a generic cloud computing model for vehicular Ad Hoc networks (2015) — 301 citations
- A Survey of Device-to-Device Communications: Research Issues and Challenges (2018) — 451 citations
- Energy Harvesting Techniques for Internet of Things (IoT) (2021) — 296 citations
- Sensor Technologies for Intelligent Transportation Systems (2018) — 563 citations
- An Efficient Identity-Based Conditional Privacy-Preserving Authentication Scheme for Vehicular Ad Hoc Networks (2015) — 646 citations
- Intelligent Device-to-Device Communication in the Internet of Things (2016) — 465 citations
- Spectrum Assignment in Cognitive Radio Networks: A Comprehensive Survey (2013) — 396 citations
- A survey on privacy protection in blockchain system (2019) — 679 citations
- Deploying Fog Computing in Industrial Internet of Things and Industry 4.0 (2018) — 458 citations
- A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems (2016) — 366 citations
- Critical infrastructure protection: Requirements and challenges for the 21st century (2015) — 311 citations
- An Analysis of RFID Authentication Schemes for Internet of Things in Healthcare Environment Using Elliptic Curve Cryptography (2015) — 348 citations