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Announcing TU Delft Repository replacement
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2 July 2024
TU Delft Repository will be replaced with a fresh user friendly design with monthly new feature releases.
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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
Feature extraction and classification on heart rate time series for cardiovascular diseases
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
Creation and validation of a simulation environment for machine learning with drones
Spiking Neural Networks Based Data Driven Control: An Illustration Using Cart-Pole Balancing Example
Towards a Linear-Data Monotone Wrapper Algorithm For Machine Learning Algorithms
Investigating different models that can be used to define the characteristics that influence customer behaviour in the online grocery sector
Neural network partitioning for resource-limited environments
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
Classification of primary liver tumors with radiomics and deep learning based on multiphasic MRI
On leveraging physical knowledge to augment neural network-based surrogate models for simulations
The ICU-Recover Box: Using Smart Technology For Monitoring Health Status After ICU Admission
Detection of patient-ventilator asynchrony based on esophageal pressure using a convolutional neural network
Data-driven optimal control for safe quadrotor navigation in windy environments
Mitigating IoT data management security concerns through blockchain and machine learning based solutions: Study and Conceptual Design
Privacy Protection and Performance Enhancement in IoT Applications using Blockchain and Machine Learning Techniques
Algal Bloom Forecasting: Classical Machine Learning versus Deep-Learning
Machine Learning-based Techniques for Secure and Efficient IoT Data Management
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