Delves into the energy-efficient distributed machine learning approach in the IoT era, emphasizing the importance of summarizing data for improved communication energy efficiency.
Delves into the development of soft and permeable electronics for various applications, emphasizing the importance of permeability for chronic biocompatibility.
Explores how music communicates emotions through various features and syntactic structures, impacting listeners' responses and performers' expressions.
Explores nanobiosensors for distributed diagnostics, highlighting advancements in biomedical circuits and systems and the challenges in developing wearable sensors.
Explores the development of low power wearable sensors for monitoring air quality and biomarkers, highlighting their impact on health and environmental exposure.
Explores trajectory forecasting in autonomous vehicles, focusing on deep learning models for predicting human trajectories in socially-aware transportation scenarios.
Explores perception in deep learning for autonomous vehicles, covering image classification, optimization methods, and the role of representation in machine learning.
