Yonas Y. Tefera

Orcid: 0000-0002-9938-4379

Affiliations:
  • Addis Ababa University, School of Electrical and Computer Engineering, Ethiopia


According to our database1, Yonas Y. Tefera authored at least 12 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

Online presence:

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Bibliography

2025
Constraint-Guided Learning of Data-driven Health Indicator Models: An Application on the Pronostia Bearing Dataset.
CoRR, March, 2025

Estimating Remaining Usable Time of Batteries With Uncertainty Quantification: A Case Study on Base Transceiver Station Application Using Real-Life Data.
IEEE Access, 2025

2024
Immersive remote telerobotics: foveated unicasting and remote visualization for intuitive interaction.
Robotica, 2024

2023
Real-time Immersive Remote Telerobotics: Highlighting the Benefit of Humans in the Loop and Applying Machine Learning.
Proceedings of the 1st International Workshop on Human-in-the-Loop Applied Machine Learning (HITLAML 2023), 2023

Towards Gaze-contingent Visualization of Real-time 3D Reconstructed Remote Scenes in Mixed Reality.
Proceedings of the 2023 6th International Conference on Advances in Robotics, 2023

2022
A Perception-Driven Approach To Immersive Remote Telerobotics.
CoRR, 2022

FoReCast: Real-time Foveated Rendering and Unicasting for Immersive Remote Telepresence.
Proceedings of the ICAT-EGVE 2022, International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments, Hiyoshi, Yokohama, Japan, November 30, 2022

2021
The Vicarios Virtual Reality Interface for Remote Robotic Teleoperation.
J. Intell. Robotic Syst., 2021

2020
Unsupervised Machine Learning Methods to Estimate a Health Indicator for Condition Monitoring Using Acoustic and Vibration Signals: A Comparison Based on a Toy Data Set from a Coffee Vending Machine.
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Recurrent Neural Network-based Base Transceiver Station Power Supply System Failure Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Hybrid Prediction Model for Mobile Data Traffic: A Cluster-level Approach.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2017
Real-time moving object detection and segmentation in H.264 video streams.
Proceedings of the 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2017


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