Abeer Alhyari

Orcid: 0000-0002-0295-9691

According to our database1, Abeer Alhyari authored at least 15 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Generating Powerful Encryption Keys for Image Cryptography With Chaotic Maps by Incorporating Collatz Conjecture.
IEEE Access, 2024

2023
Protecting Digital Images Using Keys Enhanced by 2D Chaotic Logistic Maps.
Cryptogr., June, 2023

Machine Learning Approaches to Predict Patient's Length of Stay in Emergency Department.
Appl. Comput. Intell. Soft Comput., 2023

2022
A Complex Matrix Private Key to Enhance the Security Level of Image Cryptography.
Symmetry, 2022

CASDC: A Cryptographically Secure Data System Based on Two Private Key Images.
IEEE Access, 2022

Rotation Left Digits to Enhance the Security Level of Message Blocks Cryptography.
IEEE Access, 2022

2021
A Deep Learning Framework to Predict Routability for FPGA Circuit Placement.
ACM Trans. Reconfigurable Technol. Syst., 2021

2020
Machine Learning for Congestion Management and Routability Prediction within FPGA Placement.
ACM Trans. Design Autom. Electr. Syst., 2020

An Adaptive Analytic FPGA Placement Framework based on Deep-Learning.
Proceedings of the MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, 2020

2019
Novel Congestion-estimation and Routability-prediction Methods based on Machine Learning for Modern FPGAs.
ACM Trans. Reconfigurable Technol. Syst., 2019

A Deep Learning Framework to Predict Routability for FPGA Circuit Placement.
Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019

A Flat Timing-Driven Placement Flow for Modern FPGAs.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018
An Effective FPGA Placement Flow Selection Framework using Machine Learning.
Proceedings of the 30th International Conference on Microelectronics, 2018

Machine-Learning Based Congestion Estimation for Modern FPGAs.
Proceedings of the 28th International Conference on Field Programmable Logic and Applications, 2018

2014
Diagnosis and Classification of Chronic Renal Failure Utilising Intelligent Data Mining Classifiers.
Int. J. Inf. Technol. Web Eng., 2014


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