Machine learning and randomness in mechanical metamaterials

Developing Data-enabled Design in the Field of Digital Health

On Safety in Machine Learning

Improving satellite remote sensing methodologies for analyzing landscape dynamics in arid environments with focus on Egypt

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

Computational models for clinical drug response prediction: aligning transcriptomic data of patients and pre-clinical models

Individual and joint body movement assessed by wearable sensing as a predictor of attraction in speed dates

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

Enhancing spatial resolution of GRACE-derived groundwater storage anomalies in Urmia catchment using machine learning downscaling methods

Automated Classification of Well Test Responses in Naturally Fractured Reservoirs Using Unsupervised Machine Learning

Hydrogen Storage on Porous Carbon Adsorbents: Rediscovery by Nature-Derived Algorithms in Random Forest Machine Learning Model

Searching for Quality: Genetic Algorithms and Metamorphic Testing for Software Engineering ML

Employing Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks

A Fast Multi-objective Evolutionary Approach for Designing Large-Scale Optical Mode Sorter

Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality

Optimal energy system scheduling using a constraint-aware reinforcement learning algorithm

Inverse-designed growth-based cellular metamaterials

Promises of Deep Kernel Learning for Control Synthesis

Exploring the Use of Granger Causality for the Identification of Chemical Exposure Based on Physiological Data

Drone-racing champions outpaced by AI