E-LIB Suche - Ergebnisse für: Abbas, Ammar N.

1

Exploring the Influence of Human System Interfaces: Introdu..:

Amazu, Chidera W. ; Mietkiewicz, Joseph ; Abbas, Ammar N....
International Journal of Human–Computer Interaction. , 2024

Link: https://doi.org/10.1080/..

2

Enhancing Control Room Operator Decision Making:

Mietkiewicz, Joseph ; Abbas, Ammar N. ; Amazu, Chidera W....
Processes. 12 (2024) 2 - p. 328 , 2024

Link: https://doi.org/10.3390/..

3

Hierarchical framework for interpretable and specialized de..:

Abbas, Ammar N. ; Chasparis, Georgios C. ; Kelleher, John D.
Data & Knowledge Engineering. 149 (2024) - p. 102240 , 2024

Link: https://doi.org/10.1016/..

4

Experiment data: Human-in-the-loop decision support in proc..:

Amazu, Chidera Winifred ; Mietkiewicz, Joseph ; Abbas, Ammar N....
Data in Brief. 53 (2024) - p. 110170 , 2024

Link: https://doi.org/10.1016/..

5

Autonomous vehicle navigation using high-definition maps th..:

Fatima, H. Sundus ; Abbas, Ammar N. ; Bawany, Faraz...
Journal of Physics: Conference Series. 2330 (2022) 1 - p. 012016 , 2022

Link: https://doi.org/10.1088/..

6

Interpretable Input-Output Hidden Markov Model-Based Deep R..:

, In: Big Data Analytics and Knowledge Discovery; Lecture Notes in Computer Science,

Abbas, Ammar N. ; Chasparis, Georgios C. ; Kelleher, John D. - p. 133-148 , 2022

Link: https://doi.org/10.1007/..

7

Parallel P-PD controller to achieve vibration and position ..:

Abbas, Ammar N. ; Irshad, Muhammad Asad
IAES International Journal of Robotics and Automation (IJRA). 10 (2021) 2 - p. 149 , 2021

Link: https://doi.org/10.11591..

8

Experimental Lane Keeping Assist for an Autonomous Vehicle ..:

, In: 2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES),

Diab, Mohamed Khaled ; Abbas, Ammar N. ; Ammar, Hossam Hassan. - p. 486-491 , 2020

Link: https://doi.org/10.1109/..

9

Dynamic Influence Diagram-Based Deep Reinforcement Learning..:

Mietkiewicz, Joseph ; Abbas, Ammar N ; Amazu, Chidera Winifred..
https://arrow.tudublin.ie/schfsehart/533. , 2023

Link: https://arrow.tudublin.i..

10

Specialized Deep Residual Policy Safe Reinforcement Learnin..:

Abbas, Ammar N ; Chasparis, Georgios C ; Kelleher, John D
http://arxiv.org/abs/2310.14788. , 2023

Link: http://arxiv.org/abs/231..

11

Dynamic Influence Diagram-Based Deep Reinforcement Learning..:

Mietkiewicz, Joseph ; Abbas, Ammar N ; Amazu, Chidera Winifred..
https://arrow.tudublin.ie/scschcomcon/410. , 2023

Link: https://arrow.tudublin.i..

12

Interpretable Input-Output Hidden Markov Model-Based Deep R..:

Abbas, Ammar N ; Chasparis, Georgios C ; Kelleher, John
https://arrow.tudublin.ie/scschcomcon/411. , 2023

Link: https://arrow.tudublin.i..

13

Dynamic Influence Diagram-Based Deep Reinforcement Learning..:

Mietkiewicz, Joseph ; Abbas, Ammar N ; Amazu, Chidera Winifred..
https://vbn.aau.dk/da/publications/af669497-a727-4453-b48b-d5d51f7e5bd8. , 2023

Link: https://vbn.aau.dk/da/pu..

14

Decision Making for Process Control Management in Control R..:

Amazu, Chidera Winifred ; Abbas, Ammar N ; Demichela, Micaela.
https://arrow.tudublin.ie/scschcomart/210. , 2023

Link: https://arrow.tudublin.i..

15

Hierarchical Framework for Interpretable and Probabilistic ..:

Abbas, Ammar N ; Chasparis, Georgios C ; Kelleher, John D
http://arxiv.org/abs/2310.18811. , 2023

Link: http://arxiv.org/abs/231..