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ORCIDBrook W. Abegaz
2020 – today
- 2024
[c10]Brook W. Abegaz, Noah Muller:
Design of a Convolutional Neural Network and a Modified Genetic Algorithm for Power Grid Disturbance Classification. EIT 2024: 686-691- 2023
- [c9]Cameron Arkesteyn, Brook W. Abegaz:
Design of an Artificial Neural Network to Improve the Stability of Smart Power Grids. eIT 2023: 581-585 - [c8]Lila Areephanthu, Brook W. Abegaz:
Verification of a Predictive Method for Obstacle Detection and Safe Operation of Autonomous Vehicles. eIT 2023: 586-591 - 2022
- [c7]Brook W. Abegaz:
ADMSV - A Differential Machine Learning based Steering Controller for Smart Vehicles. AIIoT 2022: 629-634 - 2020
- [c6]Brook W. Abegaz, Eric Chan-Tin, Neil Klingensmith, George K. Thiruvathukal:
Addressing Rogue Vehicles by Integrating Computer Vision, Activity Monitoring, and Contextual Information. AutomotiveUI (adjunct) 2020: 62-64 - [c5]Brook W. Abegaz, Naxi Shah:
Sensors based Lane Keeping and Cruise Control of Self Driving Vehicles. UEMCON 2020: 486-491
2010 – 2019
- 2019
- [c4]Brook W. Abegaz, J. Kueber:
Voltage Regulator Thermal Matrix based Thread Allocation Optimization for a Multi-Core Processor. EIT 2019: 1-5 - [c3]Brook W. Abegaz, J. Kueber:
Smart Control of Automatic Voltage Regulators using K-means Clustering. SoSE 2019: 328-333 - [c2]Brook W. Abegaz:
Stability Improvement of Power Networks using Cluster based Dynamic Excitation of AVR. UEMCON 2019: 791-795 - [c1]Brook W. Abegaz:
ASCPN - A Security Evaluation System for Cyber Power Networks. UEMCON 2019: 809-816
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last updated on 2025-01-20 23:03 CET by the dblp team
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