Mobile Traffic Prediction in Consumer Applications: A Multimodal Deep Learning Approach
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2024.3361037
Abstract: Mobile traffic prediction is an important yet challenging problem in consumer applications because of the dynamic nature of user behavior, varying application quality of service (QoS) requirements, network congestion, and proliferation of diverse mobile devices.… read more here.
Keywords: mobile traffic; consumer applications; prediction; traffic prediction ... See more keywords
A Lightweight Multiscale-Multiobject Deep Segmentation Architecture for UAV-Based Consumer Applications
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2024.3367531
Abstract: Smart UAVs have been developed under the consumer Internet of Drone Things (CIoDTs) framework to improve the quality of service (QoS) for several commercial and consumer applications. Artificial intelligence (AI)-inspired algorithms are employed here to… read more here.
Keywords: multiobject deep; architecture; consumer; consumer applications ... See more keywords
Tensor-Based Multi-Scale Correlation Anomaly Detection for AIoT-Enabled Consumer Applications
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2024.3519437
Abstract: Artificial Intelligence of Things (AIoT) is an innovative paradigm expected to enable various consumer applications that is transforming our lives. While enjoying benefits and services from these applications, we also face serious security issues due… read more here.
Keywords: detection; correlation; consumer; consumer applications ... See more keywords