Facial Micro-Expressions: An Overview
Micro-expression (ME) is an involuntary, fleeting, and subtle facial expression. It may occur in high-stake situations when people attempt to conceal or […]
Facial Micro-Expressions
Micro-expression (ME) is an involuntary, fleeting, and subtle facial expression. It may occur in high-stake situations when people attempt to conceal or […]
Performance Analysis of ML-Based MTC Traffic Pattern Predictors
Prolonging the lifetime of massive machine-type communication (MTC) networks is key to realizing a sustainable digitized society. Great energy savings can be […]
Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM)
To meet the growing mobility needs in intra-city transportation, the concept of urban air mobility (UAM) has been proposed in which vertical […]
Depression Recognition using Remote Photoplethysmography from Facial Videos
Depression is a mental illness that may be harmful to an individual’s health. The detection of mental health disorders in the early […]
Federated Learning on the Road Autonomous Controller Design for Connected and Autonomous Vehicles
The deployment of future intelligent transportation systems is contingent upon seamless and reliable operation of connected and autonomous vehicles (CAVs). One key […]
Evolution Toward 6G Multi-band Wireless Networks
In this article we first present the vision key performance indicators key enabling techniques (KETs) and services of 6G wireless networks. Then […]
Communication-Oriented Model Fine-Tuning for Packet-Loss Resilient Distributed Inference Under Highly Lossy IoT Networks
The distributed inference (DI) framework has gained traction as a technique for real-time applications empowered by cutting-edge deep machine learning (ML) on […]
Pain fingerprinting using multimodal sensing
Pain is a complex phenomenon, the experience of which varies widely across individuals. At worst, chronic pain can lead to anxiety and […]
Towards Real-time Learning for Edge-Cloud Continuum with Vehicular Computing
Sensor-driven IoT systems are well-known for their capacity to accelerate massive amounts of data in a comparatively short period of time. To […]