A human-centric machine learning based personalized route choice prediction in navigation systems

Massive Uncoordinated Multiple Access for Beyond 5G

Multiparametric ultrasound and machine learning for prostate cancer localization

Understanding and predicting the occurrence of void street interfaces

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

PLIS: A metabolomic response monitor to a lifestyle intervention study in older adults

A Learning-Based Optimization Approach for Autonomous Ridesharing Platforms with Service-Level Contracts and On-Demand Hiring of Idle Vehicles

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

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

Detection and Identification of Generator Disconnection Using Multi-layer Perceptron Neural Network Considering Low Inertia Scenario

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

An Approach for Sleep Apnea Detection based on Radar Spectrogram Envelopes

A Data-Driven Method for Identifying Drought-Induced Crack-Prone Levees Based on Decision Trees

Graph machine learning for design of high-octane fuels

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

Smart Redundancy Schemes for ANNs against Fault Attacks

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