The ICU-Recover Box: Using Smart Technology For Monitoring Health Status After ICU Admission

Anomaly Detection and Synthetic Data Generation for Power Systems Using Autoencoder Neural Networks

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

Vulnerability prealerting by monitoring the online repositories of open source projects

Using Machine Learning for Agent Specifications in Agent-Based Models and Simulations: A Critical Review and Guidelines

Brain Activity Recognition using Deep Electroencephalography Representation

Design of Artificial Neural Network for predicting the reduction in permeability of porous media as a result of polymer gel injection

MNEMOSENE++: Scalable Multi-Tile Design with Enhanced Buffering and VGSOT-MRAM based Compute-in-Memory Crossbar Array

Regularised Learning with Selected Physics for Power System Dynamics

Mapping Urban Heritage Images with Social Media Data and Artificial Intelligence, A Case Study in Testaccio, Rome

Advancing Design Approaches through Data-Driven Techniques: Patient Community Journey Mapping Using Online Stories and Machine Learning

Driver Profile and Driving Pattern Recognition for Road Safety Assessment: Main Challenges and Future Directions

Assessment of the spatiotemporal prediction capabilities of machine learning algorithms on Sea Surface Temperature data: A comprehensive study