Alshuwaili Dhafer Gheni Honi
Alshuwaili Dhafer Gheni Honi
Név: Alshuwaili Dhafer Gheni Honi
Szakterület: computer science
Teljes publikációs lista
Publikációs időszak:
2021-2024
2024
Rana, J.,
Mudhafar, J.,
Zaid, A.,
Vincent, O.,
Iman, Q.,
Ali, A.,
Alshuwaili, D.,
Neamah, H.:
A Robust Hybrid Machine and Deep Learning-based Model for Classification And Identification in Chest X-ray Images.
Eng Techl Appl Sci Res. 14 (5), 16212-16220, 2024.
Folyóirat-mutatók:
Q2 Engineering (miscellaneous) (2023)
Q3 Materials Science (miscellaneous) (2023)
Q3 Signal Processing (2023)
Ali, A.,
Jasim, H.,
Abduljabbar, Z.,
Nyangaresi, V.,
Umran, S.,
Ma, J.,
Alshuwaili, D.:
Provably Efficient and Fast Technique for Determining the Size of a Brain Tumor in T1 MRI Images.
In: International Conference on Artificial Intelligence in Information and Communication (ICAIIC). Eds.: IEEE, IEEE, [S. l.], 608-613, 2024.
Nyangaresi, V.,
Abduljabbar, Z.,
Mutlaq, K.,
Bulbul, S.,
Ma, J.,
Aldarwish, A.,
Alshuwaili, D.,
Al, S.,
Neamah, H.:
Smart city energy efficient data privacy preservation protocol based on biometrics and fuzzy commitment scheme.
Sci. Rep. 14 (1), 1-17, 2024.
Folyóirat-mutatók:
D1 Multidisciplinary (2023)
Mudhafar, J.,
Siamand, H.,
Luqman, Q.,
Murthad, H.,
Zaid, A.,
Alshuwaili, D.,
Vincent, O.,
Iman, Q.,
Neamah, H.:
Utilising Machine Learning for the Early Detection of Coronary Heart Disease.
Eng Techl Appl Sci Res. "Accepted by Publisher" (-), 1-19, 2024.
Folyóirat-mutatók:
Q2 Engineering (miscellaneous) (2023)
Q3 Materials Science (miscellaneous) (2023)
Q3 Signal Processing (2023)
2023
Nyangaresi, V.,
Jasim, H.,
Mutlaq, K.,
Abduljabbar, Z.,
Ma, J.,
Abduljaleel, I.,
Alshuwaili, D.:
A Symmetric Key and Elliptic Curve Cryptography-Based Protocol for Message Encryption in Unmanned Aerial Vehicles.
Electronics (Switzerland). 12 (17), 1-20, 2023.
Folyóirat-mutatók:
Q2 Computer Networks and Communications
Q2 Control and Systems Engineering
Q2 Electrical and Electronic Engineering
Q2 Hardware and Architecture
Q2 Signal Processing
Al, -.,
Al, -.,
Shareef, A.,
Alshuwaili, D.,
Fallucchi, F.:
Bi-Directional Adaptive Probabilistic Method With a Triangular Segmented Interpolation for Robot Path Planning in Complex Dynamic-Environments.
IEEE Access. 11 ((2023),), 87747 - 87759, 2023.
Folyóirat-mutatók:
Q1 Computer Science (miscellaneous)
Q1 Engineering (miscellaneous)
Q1 Materials Science (miscellaneous)
Alshuwaili, D.,
Ali, A.,
Abduljabbar, Z.,
Ma, J.,
Nyangaresi, V.,
Mutlaq, K.,
Umran, S.:
Towards Fast Edge Detection Approach for Industrial Products.
In: 2022 IEEE 21st International Conference on Ubiquitous Computing and Communications
2022
Nyangaresi, V.,
Abduljabbar, Z.,
Mutlaq, K.,
Ma, J.,
Alshuwaili, D.,
Aldarwish, A.,
Abduljaleel, I.:
Energy Efficient Dynamic Symmetric Key Based Protocol for Secure Traffic Exchanges in Smart Homes.
Appl. Sci.-Basel. 12 (24), 1-24, 2022.
Folyóirat-mutatók:
Q3 Computer Science Applications
Q2 Engineering (miscellaneous)
Q2 Fluid Flow and Transfer Processes
Q2 Instrumentation
Q2 Materials Science (miscellaneous)
Q3 Process Chemistry and Technology
Abduljabbar, Z.,
Nyangaresi, V.,
Ma, J.,
Sibahee, M.,
Khalefa, M.,
Alshuwaili, D.:
MAC-Based Symmetric Key Protocol for Secure Traffic Forwarding in Drones.
In: 6th EAI International Conference, FABULOUS 2022, Virtual Event, May 4, 2022, Proceedings. Eds.: University of Zagreb, University of Zagreb, Zagreb, 16-36, 2022. ISBN: 9783031151002
Alshuwaili, D.,
Abdulmalik, H.,
Abdulsada, A.,
Al, -.:
Privacy Preserving Image Matching Scheme with Aggregated Local Descriptors.
In: IEEE Conference Publication, IEEE, Bangalore, 1-7, 2022.
Abduljabbar, Z.,
Abduljaleel, I.,
Ma, J.,
Sibahee, M.,
Nyangaresi, V.,
Alshuwaili, D.,
Abdulsada, A.,
Jiao, X.:
Provably Secure and Fast Color Image Encryption Algorithm Based on S-Boxes and Hyperchaotic Map.
IEEE Access. 10 26257-26270, 2022.
Folyóirat-mutatók:
Q1 Computer Science (miscellaneous)
Q1 Engineering (miscellaneous)
Q1 Materials Science (miscellaneous)
2021
Al, -.,
Alshuwaili, D.,
Fallucchi, F.,
Abdulsada, A.,
Giuliano, R.,
Abdulmalik, H.:
Employee Attrition Prediction Using Deep Neural Networks.
Computers. 10 (11), 1-11, 2021.
Folyóirat-mutatók:
Q2 Computer Networks and Communications
Q3 Human-Computer Interaction
frissítve: 2024-12-15, 01:34