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

Detecting Concept Drift in Deployed Machine Learning Models: How well do Margin Density-based concept drift detectors identify concept drift in case of synthetic/real-world data?

Image watermarking for Machine Learning datasets: Using SVD based image watermarking techniques to watermark numerical ML datasets