EdgeBOL: A Bayesian Learning Approach for the Joint Orchestration of vRANs and Mobile Edge AI

Learning About the Adversary

Continuous Human Activity Classification with Radar Point Clouds and Point Transformer Networks

Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute

Obukhov Length Estimation From Spaceborne Radars

A Classification-Based Machine Learning Approach to the Prediction of Cyanobacterial Blooms in Chilgok Weir, South Korea

Neural-Network Decoders for Quantum Error Correction Using Surface Codes: A Space Exploration of the Hardware Cost-Performance Tradeoffs

Lead Detection in the Arctic Ocean from Sentinel-3 Satellite Data: A Comprehensive Assessment of Thresholding and Machine Learning Classification Methods

Health monitoring: a machine learning approach for anomaly detection in multi-sensor networks

Disadvantaged communities have lower access to urban infrastructure

Learning to Feel Textures: Predicting Perceptual Similarities From Unconstrained Finger-Surface Interactions

Inferring the number of floors for residential buildings

Advancing Artificial Neural Network Parameterization for Atmospheric Turbulence Using a Variational Multiscale Model

A Generalized Transformer-Based Pulse Detection Algorithm

Enabling Co-Innovation for a Successful Digital Transformation in Wind Energy Using a New Digital Ecosystem and a Fault Detection Case Study

Assessment of data consistency through cascades of independently recurrent inference machines for fast and robust accelerated MRI reconstruction

Graph machine learning for design of high-octane fuels

A Predictive–Proactive Approach for Slot Management of a Loading Facility With Truck ETA Information

Massive Uncoordinated Multiple Access for Beyond 5G

An Approach for Sleep Apnea Detection based on Radar Spectrogram Envelopes