# Masoud Jalayer

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/masoud-jalayer/

## Facts

| Field | Value |
| --- | --- |
| Citations | 794 |
| Field | Machine Fault Diagnosis Techniques |
| h-index | 11 |
| i10-index | 11 |
| Last Known Institution | Aalto University |
| OpenAlex ID | https://openalex.org/A5010044195 |
| Works | 31 |

## Researcher papers

- [Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms](https://scholariq.org/papers/fault-detection-and-diagnosis-for-rotating-machinery-a-model-based-on/)
- [Intelligent manufacturing execution systems: A systematic review](https://scholariq.org/papers/intelligent-manufacturing-execution-systems-a-systematic-review/)
- [Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery](https://scholariq.org/papers/fault-detection-and-diagnosis-with-imbalanced-and-noisy-data-a-hybrid-framework/)
- [Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions](https://scholariq.org/papers/deep-reinforcement-learning-for-machine-scheduling-methodology-the-state-of-the-3/)
- [A hybrid algorithm based on community detection and multi attribute decision making for influence maximization](https://scholariq.org/papers/a-hybrid-algorithm-based-on-community-detection-and-multi-attribute-decision/)
- [Synthesizing Rolling Bearing Fault Samples in New Conditions: A Framework Based on a Modified CGAN](https://scholariq.org/papers/synthesizing-rolling-bearing-fault-samples-in-new-conditions-a-framework-based-2/)
- [Deep Reinforcement Learning for Machine Scheduling: Methodology, the State-of-The-Art, and Future Directions](https://scholariq.org/papers/deep-reinforcement-learning-for-machine-scheduling-methodology-the-state-of-the/)
- [Automatic Visual Inspection of Rare Defects: A Framework based on GP-WGAN and Enhanced Faster R-CNN](https://scholariq.org/papers/automatic-visual-inspection-of-rare-defects-a-framework-based-on-gp-wgan-and/)
- [CoV-ABM: A stochastic discrete-event agent-based framework to simulate spatiotemporal dynamics of COVID-19](https://scholariq.org/papers/cov-abm-a-stochastic-discrete-event-agent-based-framework-to-simulate/)
- [Enhanced geometrical control in cold spray additive manufacturing through deep neural network predictive models](https://scholariq.org/papers/enhanced-geometrical-control-in-cold-spray-additive-manufacturing-through-deep/)

## Researcher topics

- [Machine Fault Diagnosis Techniques](https://scholariq.org/topics/machine-fault-diagnosis-techniques/)
- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)
- [Scheduling and Optimization Algorithms](https://scholariq.org/topics/scheduling-and-optimization-algorithms/)
- [Speech and Audio Processing](https://scholariq.org/topics/speech-and-audio-processing/)
- [Risk and Safety Analysis](https://scholariq.org/topics/risk-and-safety-analysis/)

## Researcher university

- [Aalto University](https://scholariq.org/institutions/aalto-university/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.