Audio-Visual Kinship Verification: A New Dataset and a Unified Adaptive Adversarial Multimodal Learning Approach
Facial kinship verification refers to automatically determining whether two people have a kin relation from their faces. It has become a popular […]
Predicting movies’ eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features
In the task of modeling user preferences for movie recommender systems, recent research has demonstrated the benefits of describing movies with their […]
Multi-Antenna Coded Caching for Location-Dependent Content Delivery
Human-computer interaction continuously evolves towards a genuinely immersive experience, submerging users in a three-dimensional (3D) virtual world. A realistic, immersive experience necessitates […]
Joint Design of Long-Term Base Station Activation and Short-Term Beamforming for Green Wireless Networks
Base station (BS) activation is a widely-used approach to alleviate the system power cost for device maintenance. However, frequently switching on/off BSs […]
Innovation Management in 6G research: the case of Hexa-X project
Very often in the past, innovations from research communities have been disconnected from industry adoption, leading to a lack of exploitation of […]
Nonorthogonal Replication Scheme for ALOHA Uplink in LPWAN
In this work, we address a novel replication scheme for Internet-of-Things (IoT) low power wide area networks (LPWAN), considering the ability of […]
Digital Twins for Smart Spaces – Beyond IoT Analytics
Smart spaces, physical spaces that are integrated with sensor-enabled Internet of Things devices, are a powerful paradigm for optimizing the operations of […]
Achieving Covertness and Secrecy: The Interplay between Detection and Eavesdropping Attacks
This article explores a new secure wireless communication scenario for the data collection in the Internet of Things (IoT) where the physical […]
FastAL: Fast Evaluation Module for Efficient Dynamic Deep Active Learning Using Broad Learning System
State-of-the-art Active Learning (AL) methods often encounter challenges associated with a hysteretic learning process and an expensive data sampling mechanism. The former […]
Double Deep Q-Learning-based Path Selection and Service Placement for Latency-Sensitive Beyond 5G Applications
Nowadays, as the need for capacity continues to grow, entirely novel services are emerging. A solid cloud-network integrated infrastructure is necessary to […]