FreqMAE: Frequency-Aware Masked Autoencoder for Multi-Modal IoT Sensing
This paper presents FreqMAE, a novel self-supervised learning framework that synergizes
masked autoencoding (MAE) with physics-informed insights to capture feature patterns in …
masked autoencoding (MAE) with physics-informed insights to capture feature patterns in …
IOTeeth: Intra-Oral Teeth Sensing System for Dental Occlusal Diseases Recognition
While occlusal diseases-the main cause of tooth loss--significantly impact patients' teeth and
well-being, they are the most underdiagnosed dental diseases nowadays. Experiencing …
well-being, they are the most underdiagnosed dental diseases nowadays. Experiencing …
Artificial Intelligence of Things: A Survey
The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …
PhyMask: An Adaptive Masking Paradigm for Efficient Self-Supervised Learning in IoT
This paper introduces PhyMask, an adaptive masking paradigm designed to enhance the
efficiency and interpretability of Masked Autoencoders (MAEs) in analyzing IoT sensing …
efficiency and interpretability of Masked Autoencoders (MAEs) in analyzing IoT sensing …
Poster: PrivaSee: Augmented Reality-Enabled Privacy Perception Visualization for Internet of Things
Internet of Things (IoT) provides a wide range of services to improve convenience and
comfort in our daily lives. However, various sensors equipped on IoT devices often raise …
comfort in our daily lives. However, various sensors equipped on IoT devices often raise …