Mohammed Hussein
Artificial Intelligence · 2006–2020
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it
Whom Mohammed Hussein trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Mohammed Hussein overall
Papers from Mohammed Hussein's perspective
Ordered by how strongly the researchers Mohammed Hussein trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Supporting Online Material for Reducing the Dimensionality of Data with Neural Networks
- Multiple Classifier Systems
- Vibration–based structural damage identification (Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences)
- Probabilistic machine learning and artificial intelligence
- Deep learning and its applications to machine health monitoring (Mechanical systems and signal processing)
- A survey of deep learning-based network anomaly detection (Cluster Computing)
- Non-parametric damage detection and characterization using smart piezoceramic material
- Vibration based health monitoring for a lightweight truss structure: experimental assessment of several statistical time series methods
- 1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data (Neurocomputing)