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Yonas Y. Tefera
Person information
- affiliation: Addis Ababa University, School of Electrical and Computer Engineering, Ethiopia
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2020 – today
- 2025
- [j3]Yonas Y. Tefera
, Stijn Luca
Estimating Remaining Usable Time of Batteries With Uncertainty Quantification: A Case Study on Base Transceiver Station Application Using Real-Life Data. IEEE Access 13: 39380-39393 (2025) - [i2]Yonas Y. Tefera, Quinten Van Baelen, Maarten Meire, Stijn Luca, Peter Karsmakers:
Constraint-Guided Learning of Data-driven Health Indicator Models: An Application on the Pronostia Bearing Dataset. CoRR abs/2503.09113 (2025) - 2024
- [j2]Yonas T. Tefera, Yaesol Kim, Sara Anastasi, Paolo Fiorini, Darwin G. Caldwell, Nikhil Deshpande:
Immersive remote telerobotics: foveated unicasting and remote visualization for intuitive interaction. Robotica 42(12): 4223-4248 (2024) - 2023
- [c7]Yonas T. Tefera
Towards Gaze-contingent Visualization of Real-time 3D Reconstructed Remote Scenes in Mixed Reality. AIR 2023: 21:1-21:6 - [c6]Yonas T. Tefera, Yaesol Kim, Joaquin Vila Garcia, Darwin G. Caldwell, Sara Anastasi, Nikhil Deshpande:
Real-time Immersive Remote Telerobotics: Highlighting the Benefit of Humans in the Loop and Applying Machine Learning. HITLAML 2023 - 2022
- [c5]Yonas T. Tefera, Dario Mazzanti, Sara Anastasi, Darwin G. Caldwell, Paolo Fiorini, Nikhil Deshpande:
FoReCast: Real-time Foveated Rendering and Unicasting for Immersive Remote Telepresence. ICAT-EGVE 2022: 75-84 - [i1]Yonas T. Tefera
A Perception-Driven Approach To Immersive Remote Telerobotics. CoRR abs/2210.05417 (2022) - 2021
- [j1]Abdeldjallil Naceri
The Vicarios Virtual Reality Interface for Remote Robotic Teleoperation. J. Intell. Robotic Syst. 101(4): 80 (2021) - 2020
- [c4]Bethelhem Seifu Shawel
Hybrid Prediction Model for Mobile Data Traffic: A Cluster-level Approach. IJCNN 2020: 1-8 - [c3]Yonas Yehualaeshet Tefera, Tewodros Kibatu, Bethelhem Seifu Shawel
Recurrent Neural Network-based Base Transceiver Station Power Supply System Failure Prediction. IJCNN 2020: 1-7 - [c2]Yonas Y. Tefera, Maarten Meire, Stijn Luca, Peter Karsmakers
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. IoT Streams/ITEM@PKDD/ECML 2020: 145-159
2010 – 2019
- 2017
- [c1]Krishna Reddy Konda, Yonas Teodros Tefera, Nicola Conci
Real-time moving object detection and segmentation in H.264 video streams. BMSB 2017: 1-6
Coauthor Index
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