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Aldabbas Ashraf Khaled Abd Elkareem

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Publications in DEA:

OA:

Date range:

2018-2025

2025

Mohammed, S., Arshad, S., Ocwa, A., Al-Dalahmeh, M., Aldabbas, A. K. A. E., Alzoubi, M. M., Vad, A., Harsányi, E.: Advanced attention-driven deep learning architectures for multi-depth soil temperature prediction.
Results in Engineering. 27, 1-17, (article identifier: 106508), 2025.

doi DEA WoS Scopus

Journal metrics:

D1 Engineering (miscellaneous)

Aldabbas, A. K. A. E., Mustafa, Z., Gál, Z.: Advanced Trajectory Analysis of NASA's Juno Mission Using Unsupervised Machine Learning: Insights into Jupiter's Orbital Dynamics.
Future Internet. 17 (3), 1-30, (article identifier: 125), 2025.

doi DEA WoS Scopus

Journal metrics:

Q1 Computer Networks and Communications

2022

Fraij, J. K. I., Aldabbas, A. K. A. E., Várallyai, L.: Awareness of The Impact and Usage of Artificial Intelligence in Human Resources Practices: A Developing Country Case Study.
International journal of economics and management systems. 7, 579-593, 2022.

DEA

Aldabbas, A. K. A. E., Gál, Z.: Recurrent neural network variants based model for Cassini-Huygens spacecraft trajectory modifications recognition.
Neural Comput. Appl. 2022, 13575-13598, 2022.

doi DEA WoS Scopus

Journal metrics:

Q1 Artificial Intelligence

Q1 Software

2021

Aldabbas, A. K. A. E., Gál, Z.: Cassini-Huygens mission images classification framework by deep learning advanced approach.
Int. J. Electr. Comp. Eng. 11 (3), 2457-2466, 2021.

doi DEA Scopus

Journal metrics:

Q2 Computer Science (miscellaneous)

Q3 Electrical and Electronic Engineering

Aldabbas, A. K. A. E., Gál, Z., Ghori, K. M., Imran, M., Shoaib, M.: Deep Learning-Based Approach for Detecting Trajectory Modifications of Cassini-Huygens Spacecraft.
IEEE Access. 9, 39111-39125, 2021.

doi DEA WoS Scopus

Journal metrics:

Q1 Computer Science (miscellaneous)

Q1 Engineering (miscellaneous)

Q1 Materials Science (miscellaneous)

Aldabbas, A. K. A. E., Gál, Z.: Deep Learning-Based Method for Detecting Cassini-Huygens Spacecraft Trajectory Modifications.
In: Proceedings of the 1st Conference on Information Technology and Data Science. Eds.: István Fazekas, András Hajdu, Tibor Tómács, CEUR, Debrecen, 19-31, 2021, (CEUR Workshop Proceedings, ISSN 1613-0073 ; 2874)

DEA Scopus

Aldabbas, A. K. A. E., Gál, Z.: Prediction and Analysis Based on Sensor Network Data Using Machine Learning Techniques.
Eliva Press, Chisinau, 163 p., 2021. ISBN: 9781636483252

DEA

2020

Fraij, J. K. I., Aldabbas, A. K. A. E., Aburumman, N. M. A.: Blockchain as an e-voting tool.
Int. J. Adv. Res. 8 (12), 858-866, 2020.

doi DEA

10.

Aldabbas, A. K. A. E., Gál, Z.: Change Detection of the Cassini Orbit Based on Data Dissimilarity.
In: Az elmélet és a gyakorlat találkozása a térinformatikában XI. : theory meets practice in GIS. Szerk.: Molnár Vanda Éva, Debreceni Egyetemi Kiadó, Debrecen, 23-29, 2020. ISBN: 9789633188866

DEA

11.

Aldabbas, A. K. A. E., Gál, Z.: Complex Event Processing Based Analysis of Cassini-Huygens Interplanetary Dataset.
In: Intelligent Computing Paradigm and Cutting-edge Technologies. Ed.: Lakhmi C. Jain, Sheng-Lung Peng, Basim Alhadidi, Souvik Pal, Springer, Cham, 51-66, 2020, (Learning and Analytics in Intelligent Systems, ISSN 2662-3447 ; 9) ISBN: 9783030385002

doi DEA

12.

Aldabbas, A. K. A. E., Gál, Z.: Learning and Reasoning with structured Prediction Based on Revealing Event Complexity.
Int. J. Adv. Sci. Technol. 29 (3), 13816-13828, 2020.

DEA

13.

Aldabbas, A. K. A. E., Gál, Z.: On the constructive knowledge-based event intelligent identification mechanism.
J. Theor. Appl. Inf. Technol. 98 (24), 4169-4180, 2020.

DEA Scopus

Journal metrics:

Q4 Computer Science (miscellaneous)

Q4 Theoretical Computer Science

2019

14.

Aldabbas, A. K. A. E., Gál, Z.: Getting facts about interplanetary mission of Cassini-Huygens spacecraft.
In: Az elmélet és a gyakorlat találkozása a térinformatikában X. = theory meets practice in GIS. Szerk.: Molnár Vanda Éva, Debrecen Egyetemi Kiadó, Debrecen, 27-34, 2019.

DEA

15.

Aldabbas, A. K. A. E., Gál, Z.: On the Complex Event Identification Based on Cognitive Classification Process.
In: 10th IEEE International Conference on Cognitive Infocommunications CogInfoCom 2019 : Proceedings. Ed.: Péter Baranyi, Anna Esposito, Nelson Mauro Maldonato, Carl Vogel, IEEE, Piscataway, 29-34, 2019. ISBN: 9781728147932

doi DEA WoS Scopus

2018

16.

Aldabbas, A. K. A. E., Gál, Z., Korteby, M. A.: 3D GIS - A Major Step Analysis to Evaluate Convenient Healthy Residential District Based on Environmental Sensory Data Sets.
In: Az elmélet és a gyakorlat találkozása a térinformatikában IX. = Theory meets practice in GIS. Szerk.: Molnár Vanda Éva, Debreceni Egyetemi Kiadó, Debrecen, 77-84, 2018. ISBN: 9789633187234

DEA

17.

Gál, Z., Korteby, M. A., Aldabbas, A. K. A. E.: Estimation of the Wireless Sensor Network Performance using Fractal Behavior of the Generated Cognitive Harmonic Waves.
In: 9th IEEE International Conference on Cognitive Infocommunications: CogInfoCom 2018: Proceedings. Ed.: by Péter Baranyi, IEEE, Piscataway, 57-62, 2018. ISBN: 9781538670941

doi DEA WoS Scopus

18.

Gál, Z., Korteby, M. A., Aldabbas, A. K. A. E.: Impact of the delay tolerance in wireless sensor networks: Buffer occupancy and energy consumption aspects.
In: Proceedings of 2018 IEEE International Conference on Future IoT Technologies (Future IoT 2018), IEEE, Washington, [1-8], 2018. ISBN: 9781538612088

doi DEA

19.

Korteby, M. A., Gál, Z., Aldabbas, A. K. A. E.: Impact of the Geographic Map Based Movement on the Communication Quality of Sensor Networks.
In: Az elmélet és a gyakorlat találkozása a térinformatikában IX. = Theory meets practice in GIS. Szerk.: Molnár Vanda Éva, Debreceni Egyetemi Kiadó, Debrecen, 179-186, 2018. ISBN: 9789633187234

DEA

20.

Aldabbas, A. K. A. E., Gál, Z., Buchman, A.: Neural Network Estimation of Tourism Climatic Index (TCI) Based on Temperature-Humidity Index (THI)- Jordan Region Using Sensed Datasets.
Carpathian J. Electr. Comp. Eng. 11 (2), 50-55, 2018.

doi DEA