Salil S. Kanhere
Computer Networks and Communications · 2005–2023
A researcher in the Science corpus: 12 papers; trusts 32 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 68 citations into it; #3,442 of 9,886 by trust here, #806 by citations
- Artificial Intelligence — 53 citations into it; #15,057 of 35,345 by trust here, #9,275 by citations
- Computer Vision and Pattern Recognition — 26 citations into it
- Electrical and Electronic Engineering — 25 citations into it
- Transportation — 23 citations into it
- Information Systems — 17 citations into it; #2,856 of 8,771 by trust here, #811 by citations
- Computer Science Applications — 16 citations into it
- Privacy & Security — 11 citations into it
Whom Salil S. Kanhere trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Prashanth Mohan
- Emiliano Miluzzo
- Rajib Kumar Rana
- Anthony Dewayne Hunt
- V. Padmanabhan
- Nicholas Donald Lane
- Andrew Howard
- Shane B. Eisenman
- Andrew T. Campbell
- Ramachandran Ramjee
Who trusts Salil S. Kanhere overall
- Alfonso Panarello
- Gaoqi Liang
- Ali Dorri
- Hany F. Atlam
- Jorge Bernal Bernabé
- Imran Makhdoom
- Steven S. R. Weller
- Nachiket Tapas
- Tiago M. Fernández-Caramés
- Xiaoqi Li
Papers from Salil S. Kanhere's perspective
Ordered by how strongly the researchers Salil S. Kanhere trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- BlockChain: A Distributed Solution to Automotive Security and Privacy (2017) — 675 citations
- The holes problem in wireless sensor networks: a survey (2005) — 469 citations
- A survey on privacy in mobile participatory sensing applications (2011) — 449 citations
- Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots (2023) — 427 citations
- AI for Next Generation Computing: Emerging Trends and Future Directions (2022) — 519 citations
- A Survey of COVID-19 Contact Tracing Apps (2020) — 525 citations
- STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting (2019) — 308 citations
- Blockchain for IoT security and privacy: The case study of a smart home (2017) — 1,523 citations
- Towards an Optimized BlockChain for IoT (2017) — 688 citations
- Blockchain in internet of things: Challenges and Solutions (2016) — 433 citations
- Participatory Sensing: Crowdsourcing Data from Mobile Smartphones in Urban Spaces (2011) — 372 citations
- Ear-phone: an end-to-end participatory urban noise mapping system (2010) — 775 citations