output
20022024
most citedDeep Learning for Audio Signal Processing

859 citations

Showing 2022Show all

32 papers · 1 filter

eess.SY202211 cited

Optimizing a Digital Twin for Fault Diagnosis in Grid Connected Inverters -- A Bayesian Approach

Pavol Mulinka, Subham Sahoo, Charalampos Kalalas +1

In this paper, a hyperparameter tuning based Bayesian optimization of digital twins is carried out to diagnose various faults in grid connected inverters. As fault detection and di…

cs.IT20229 cited

Query Timing Analysis for Content-based Wake-up Realizing Informative IoT Data Collection

Junya Shiraishi, Anders E. Kalør, Federico Chiariotti +3

Information freshness and high energy-efficiency are key requirements for sensor nodes serving Industrial Internet of Things (IIoT) applications, where a sink node must collect inf…

physics.space-ph202220 cited

Design of an Intake and a Thruster for an Atmosphere-Breathing Electric Propulsion System

F. Romano, G. Herdrich, Y. -A. Chan +25

Challenging space missions include those at very low altitudes, where the atmosphere is source of aerodynamic drag on the spacecraft that finally defines the missions lifetime unle…

physics.space-ph202227 cited

Development and analysis of novel mission scenarios based on Atmosphere-Breathing Electric Propulsion (ABEP)

S. Vaidya, C. Traub, F. Romano +28

Operating satellites in Very Low Earth Orbit (VLEO) benefits the already expanding New Space industry in applications including Earth Observation and beyond. However, long-term ope…

eess.SP202293 cited

RIS-Enabled SISO Localization under User Mobility and Spatial-Wideband Effects

Kamran Keykhosravi, Musa Furkan Keskin, Gonzalo Seco-Granados +2

Reconfigurable intelligent surface (RIS) is a promising technological enabler for the 6th generation (6G) of wireless systems with applications in localization and communication. I…

cs.HC202248 cited

Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries

Lakmal Meegahapola, William Droz, Peter Kun +24

Mood inference with mobile sensing data has been studied in ubicomp literature over the last decade. This inference enables context-aware and personalized user experiences in gener…