- A Methodology for Damage Detection Using Unsupervised Learning in the Field of Structural Health Monitoring: Based on Gaussian Mixture Modeling
- Solving ML with ML: Effectiveness of the Metropolis-Hastings algorithm for synthesizing Machine Learning Pipelines
- The road to intelligent asphalt concrete mixture design: A Data driven analysis of common asphalt concrete property prediction methods and a solution to the inverse problem
- Spiking Neural Networks Based Data Driven Control: An Illustration Using Cart-Pole Balancing Example
- Investigating different models that can be used to define the characteristics that influence customer behaviour in the online grocery sector
- An AI algorithm to predict intubations in ICU patients: Predicting intubation to aid medical personnel in the decision to switch from High Flow Nasal Oxygen therapy to intubation
- Non-invasive measurement of intracardiac pressures in heart failure patients using machine learning techniques
- Detection of patient-ventilator asynchrony based on esophageal pressure using a convolutional neural network
- Mitigating IoT data management security concerns through blockchain and machine learning based solutions: Study and Conceptual Design