Shreshth Tuli
Computer Networks and Communications · 2018–2022
A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 65 citations into it
- Artificial Intelligence — 51 citations into it
- Information Systems — 29 citations into it
- Computer Vision and Pattern Recognition — 22 citations into it
- Electrical and Electronic Engineering — 19 citations into it
- Signal Processing — 17 citations into it
Whom Shreshth Tuli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Melanie Swan
- Thomas G. Dietterich
- Kalervo Järvelin
- Chelsea Finn
- Animesh Patcha
- Ailin Deng
- Jimmy Ba
- Daehyung Park
- Geoffrey E. Hinton
Who trusts Shreshth Tuli overall
Papers from Shreshth Tuli's perspective
Ordered by how strongly the researchers Shreshth Tuli trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data (2022) — 1,012 citations
- Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing (2020) — 405 citations
- Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges (2019) — 437 citations
- HealthFog: An Ensemble Deep Learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in Integrated IoT and Fog Computing Environments (2019) — 567 citations
- FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing (2018) — 352 citations