Diagnosis and Classification of Chronic Renal Failure Utilising Intelligent Data Mining Classifiers. - Abeer Y. Al-Hyari; Ahmad M. Al-Taee; Majid A. Al-Taee (Int. J. Inf. Technol. Web Eng., 2014)

Machine-Learning Based Congestion Estimation for Modern FPGAs. - Dani Maarouf; Abeer Alhyari; Ziad Abuowaimer; Timothy Martin; Andrew David Gunter; Gary Gréwal; Shawki Areibi; Anthony Vannelli (FPL, 2018)

An Effective FPGA Placement Flow Selection Framework using Machine Learning. - Abeer Y. Al-Hyari; Ziad Abuowaimer; Dani Maarouf; Shawki Areibi; Gary Gréwal (ICM, 2018)

A Flat Timing-Driven Placement Flow for Modern FPGAs. - Timothy Martin; Dani Maarouf; Ziad Abuowaimer; Abeer Alhyari; Gary Gréwal; Shawki Areibi (DAC, 2019)

A Deep Learning Framework to Predict Routability for FPGA Circuit Placement. - Abeer Alhyari; Ahmed Shamli; Ziad Abuwaimer; Shawki Areibi; Gary Gréwal (FPL, 2019)

Novel Congestion-estimation and Routability-prediction Methods based on Machine Learning for Modern FPGAs. - Abeer Y. Al-Hyari; Ziad Abuowaimer; Timothy Martin; Gary Gréwal; Shawki Areibi; Anthony Vannelli (ACM Trans. Reconfigurable Technol. Syst., 2019)

An Adaptive Analytic FPGA Placement Framework based on Deep-Learning. - Abeer Y. Al-Hyari; Ahmed Shamli; Timothy Martin; Shawki Areibi; Gary Gréwal (MLCAD, 2020)

Machine Learning for Congestion Management and Routability Prediction within FPGA Placement. - Hannah Szentimrey; Abeer Y. Al-Hyari; Jérémy Foxcroft; Timothy Martin; David Noel; Gary William Grewal; Shawki Areibi (ACM Trans. Design Autom. Electr. Syst., 2020)

A Deep Learning Framework to Predict Routability for FPGA Circuit Placement. - Abeer Y. Al-Hyari; Hannah Szentimrey; Ahmed Shamli; Timothy Martin; Gary Gréwal; Shawki Areibi (ACM Trans. Reconfigurable Technol. Syst., 2021)

Rotation Left Digits to Enhance the Security Level of Message Blocks Cryptography. - Mua'ad Abu-Faraj; Abeer Y. Al-Hyari; Khaled Aldebei; Ziad A. Alqadi; Bilal Al-Ahmad (IEEE Access, 2022)

CASDC: A Cryptographically Secure Data System Based on Two Private Key Images. - Mua'ad Abu-Faraj; Abeer Y. Al-Hyari; Ismail Al-Taharwa; Bilal Al-Ahmad; Ziad A. Alqadi (IEEE Access, 2022)

A Complex Matrix Private Key to Enhance the Security Level of Image Cryptography. - Mua'ad Abu-Faraj; Abeer Y. Al-Hyari; Ziad A. Alqadi (Symmetry, 2022)

Machine Learning Approaches to Predict Patient's Length of Stay in Emergency Department. - Mohammad A. Shbool; Omar Suleiman Arabeyyat; Ammar Al-Bazi; Abeer Y. Al-Hyari; Arwa Salem; Thana' Abu-Hmaid; Malak Ali (Appl. Comput. Intell. Soft Comput., 2023)

Protecting Digital Images Using Keys Enhanced by 2D Chaotic Logistic Maps. - Mua'ad Abu-Faraj; Abeer Y. Al-Hyari; Charlie Obimbo; Khaled Aldebei; Ismail Al-Taharwa; Ziad A. Alqadi; Orabe Almanaseer (Cryptogr., 2023)

Generating Powerful Encryption Keys for Image Cryptography With Chaotic Maps by Incorporating Collatz Conjecture. - Abeer Y. Al-Hyari; Charlie Obimbo; Mua'ad Abu-Faraj; Ismail Al-Taharwa (IEEE Access, 2024)

Chaotic Hénon-Logistic Map Integration: A Powerful Approach for Safeguarding Digital Images. - Abeer Y. Al-Hyari; Mua'ad Abu-Faraj; Charlie Obimbo; Moutaz Alazab (J. Cybersecur. Priv., 2025)