Sutanu Bhowmick
Civil and Structural Engineering · 2020
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Civil and Structural Engineering — 22 citations into it
- Artificial Intelligence — 14 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Sutanu Bhowmick trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Sutanu Bhowmick's perspective
Ordered by how strongly the researchers Sutanu Bhowmick trusts endorse each paper. Same corpus, a different order for every researcher.
- Damage diagnosis using time series analysis of vibration signals
- Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types (Comput. Aided Civ. Infrastructure Eng.)
- A review of unsupervised feature learning and deep learning for time-series modeling
- Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
- Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs
- Algorithms for manifold learning
- A recurrent neural network based health indicator for remaining useful life prediction of bearings (Neurocomputing)
- A few useful things to know about machine learning
- Deep learning based image recognition for crack and leakage defects of metro shield tunnel (Tunnelling and Underground Space Technology)
- Automatic Pixel‐Level Crack Detection and Measurement Using Fully Convolutional Network (Comput. Aided Civ. Infrastructure Eng.)