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ORCIDRaed Alazaidah
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Journal Articles
- 2024
[j5]Mohammad Aljaidi
, Omprakash Kaiwartya, Ghassan Samara, Ayoub Alsarhan, Mufti Mahmud, Sami M. Alenezi, Raed Alazaidah, Jaime Lloret:
Green Communication in IoT for Enabling Next-Generation Wireless Systems. Comput. 13(10): 251 (2024)- [j4]Ghassan Samara, Wafaa Alzyoud, Mohammad Aljaidi, Raed Alazaidah, Mais Haj Qasem, Essam Al Daoud:
Optimizing Performance in Wireless Sensor Networks through a Multi-Objective Rendezvous Points Selection Algorithm. Int. J. Interact. Mob. Technol. 18(18): 167-183 (2024) - [j3]Mazen Alzyoud, Najah Al-Shanableh, Eman Nashnush, Rabah Shboul, Raed Alazaidah, Ghassan Samara, Safaa Alhusban:
Enhanced Machine Learning Based Network Traffic Detection Model for IoT Network. Int. J. Interact. Mob. Technol. 18(19): 182-198 (2024) - 2020
- [j2]Raed Alazaidah, Farzana Kabir Ahmad, Mohamad Mohsin:
Multi Label Ranking Based on Positive Pairwise Correlations Among Labels. Int. Arab J. Inf. Technol. 17(4): 440-449 (2020) - [j1]Mo'ath Alluwaici, Ahmad Kadri Junoh, Raed Alazaidah:
New Problem Transformation Method Based on the Local Positive Pairwise Dependencies Among Labels. J. Inf. Knowl. Manag. 19(1): 2040017:1-2040017:13 (2020)
Conference and Workshop Papers
- 2024
- [c28]Abeer Al-Mohtaseb, Ali Qasim Hanoon, Ghassan Samara, Essam Al Daoud, Omar Alidmat, Radwan Batyha, Mohammad Aljaidi, Raed Alazaidah, Ali Elrashidi:
A Comprehensive Review of VANET Attacks: Predictive Models, Vulnerability Management, and Defense Selection. ACIT 2024: 1-9 - [c27]Mohammad Rasmi Al-Mousa, Mohammad Abdulqawi, Hazem Jihad Badarneh, Ala'a Al-Shaikh, Mahmoud Asassfeh, Ala'a Saeb Al-Sherideh, Ghassan Samara, Ali Elrashidi, Raed Alazaidah:
A secure IoT limited Devices by applying Multi-Round Lightweight Cryptography. ACIT 2024: 1-8 - [c26]Ala'a Saeb Al-Sherideh, Samah Suleiman Al-Zou'bi, Fuad Alshraiedeh, Esraa Abu Elsoud, Suha Afaneh, Mohammad Rasmi Al-Mousa, Raed Alazaidah, Mohammed Khouj, Ghassan Samara:
Digital Evidence and Forensic Tools in Cyber Law: A Comprehensive Analysis. ACIT 2024: 1-6 - [c25]Raed Alazaidah, Radwan Batyha, Ghassan Samara, Esraa Al Henawi, Maram Y. Al-Safarini, Ahmad A. Samhan, Ali Elrashidi, Mo'ath Alluwaici, Deana Al-Omari:
Diabetes Prediction Using Machine Learning Techniques: A Case Study from Jordan. ACIT 2024: 1-6 - [c24]Raed Alazaidah, Ola Nasir, Wael Hadi, Ghassan Samara, Essam Al Daoud, Mohammad Aljaidi, Mohammed Talat Khouj, Esraa Abu Elsoud, Haneen Alzoubi:
Multi Label Classification Algorithm Based on Conditional Local Correlations among Labels and Ensemble Learning. ACIT 2024: 1-8 - [c23]Raed Alazaidah, Mohammed Abu Safaqah, Haneen Alzoubi, Hani Omar, Maram Y. Al-Safarini, Esraa Abu Elsoud, Ali Elrashidi, Mo'ath Alluwaici, Suhaila Abu Owaida:
Heart Diseases Prediction Using Machine Learning Techniques: A Case Study from Jordan. ACIT 2024: 1-6 - [c22]Raed Alazaidah, Ghassan Samara, Anwar Katrawi, Wael Hadi, Maram Y. Al-Safarini, Farah Al-Mamoori, Ali Elrashidi, Muhyeeddin Alqaraleh, Haneen Alzoubi:
Prediction of Hypertension Disease Using Machine Learning Techniques: Case Study from Jordan. ACIT 2024: 1-6 - [c21]Omar Khair Alla Alidmat, Raed Alazaidah, Mohammad Arabiat, Hayel Khafajeh, Mohammad Aljaidi, Umi Kalsom Yusof, Ali Elrashidi:
Dynamic Exit Selection and Counting Area Adjustment for Efficient Crowd Evacuation in Asymmetrical Layouts. ACIT 2024: 1-10 - [c20]Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Mohammad Al-Batah, Hatim Solayman Migdadi, Oqeili Saleh, Raed Alazaidah, Ali Elrashidi:
Innovative Machine Learning Solutions for Automated Kidney Tumor Detection in CT Imaging Through Comparative Analysis. ACIT 2024: 1-9 - [c19]Muhyeeddin Alqaraleh, Mowafaq Salem Alzboon, Mohammad Al-Batah, Oqeili Saleh, Hatim Solayman Migdadi, Ali Elrashidi, Raed Alazaidah:
Advanced Machine Learning Models for Real-Time Drone and Bird Differentiation in Aerial Surveillance Systems. ACIT 2024: 1-8 - [c18]Hmmam M. Alrjoob, Raed Alazaidah, Radwan Batyha, Hayel Khafajeh, Esraa Abu Elsoud, Ala'a Saeb Al-Sherideh, Ali Elrashidi, Muhyeeddin Alqaraleh, Waleed Amer:
Classifying Psychiatric Patients Using Machine Learning. ACIT 2024: 1-9 - [c17]Rahaf Alsawi, Raed Alazaidah, Ghassan Samara, Haneen Alzoubi, Omar Alidmat, Esraa Abu Elsoud, Mohammed Talat Khouj, Anwar Katrawi, Mo'ath Alluwaici:
Application of Machine Learning in Mental Diseases Diagnosis. ACIT 2024: 1-6 - [c16]Ahmed BaniMustafa, Sattam Almatarneh, Olla Bulkrock, Raed Alazaidah, Hossam Almahasneh, Ghassan Samara:
Investigating Principle Component Analysis Impact on the Performance of Machine Learning Classifiers: A Health Informatics Application. ACIT 2024: 1-6 - [c15]Ahmed BaniMustafa, Hazem Qattouz, Sattam Almatarneh, Khalid Mansour, Raed Alazaidah, Olla Bulkrock:
Automating the Diagnosis of Cucumber Plant Diseases Using Machine Learning. ACIT 2024: 1-6 - [c14]Mu'taz Momani, Nidal Yousef, Qotadeh Aljawazneh, A. T. Issa, Suhaila Abuowaida, Raed Alazaidah, Mohammed Talat Khouj, Radwan Batyha, Esraa Abu Elsoud:
Utilization of Machine Learning in Breast Cancer Detection. ACIT 2024: 1-10 - [c13]Ola Nasir, Raed Alazaidah, Maram Y. Al-Safarini, Amneh Alamleh, Ali Abu Zaid, Hasan Mansur, Ali Elrashidi, Haneen Alzoubi, Alaa Bani-Bakr:
Classification of Sleep-Related Disorders Using Machine Learning Techniques. ACIT 2024: 1-11 - [c12]Ola Nasir, Raed Alazaidah, Wael Hadi, Ghassan Samara, Essam Al Daoud, Suhaila Abu Owaida, Ali Elrashidi, Esraa Abu Elsoud, Haneen Alzoubi:
Multi Label Classification Based on Ensemble Learning: Investigative Study. ACIT 2024: 1-8 - [c11]Ghassan Samara, Ala'Mazen Elhilo, Mohammad Aljaidi, Amneh Alamleh, Mohammad Rasmi Al-Mousa, Radwan Batyha, Raed Alazaidah, Alaa Bani-Bakr, Ali Elrashidi:
Enhancing Convergence Efficiency in Federated Learning Models. ACIT 2024: 1-4 - [c10]Ghassan Samara, Mohammad Abu Fadda, Abeer Al-Mohtaseb, Raed Alazaidah, Alrefai Mohamed N., Mahmoud Odeh, Mohammad Aljaidi, Mohammed Mahmod Shuaib, Mohammad Kanan:
Deep Learning Approaches for Malware Detection in the Industrial Internet of Things: A Comprehensive Analysis. ACIT 2024: 1-7 - [c9]Ghassan Samara, Hussain Mohammed Turki, Mahmoud Odeh, Anas M. Al-Oraiqat, Mohammad Aljaidi, Raed Alazaidah, Mohammad Rasmi Al-Mousa, Ahmed BaniMustafa, Mohammad Kanan:
Efficient Road Status Monitoring in Vehicular Ad-Hoc Networks: An Optimization Framework. ACIT 2024: 1-5 - 2023
- [c8]Raed Alazaidah:
A Comparative Analysis of Discretization Techniques in Machine Learning. ACIT 2023: 1-6 - [c7]Raed Alazaidah, Ahmad Al-Qerem, Mais Haj Qasem, Ala'a Al-Shaikh, Nabeel Al-Milli, MohammadNoor Injadat:
Feature Selection in Associative Classification-A Review and Comparative Analysis. ACIT 2023: 1-5 - [c6]Raed Alazaidah, Mohammad A. Hassan, Lara Al-Rbabah, Ghassan Samara, Marina Yusoff, Ala'a Saeb Al-Sherideh:
Utilizing Machine Learning in Medical Diagnosis: Systematic Review and Empirical Analysis. ACIT 2023: 1-9 - [c5]Omar Khair Alla Alidmat, Umi Kalsom Yusof, Esraa Alhenawi, Hazem Jihad Badarneh, Raed Alazaidah, Lara Al-Rbabah:
Simulation of Exit Selection Behavior Evacuation Based on an Improved Cellular Automata Model during Fire Disaster. ACIT 2023: 1-8 - [c4]Mazen Alzyoud, Raed Alazaidah, Haneen Alzoubi, Najah Al-Shanableh, Mohammad Aljaidi, Sattam Almatarneh:
Toward Identifying The Best Base Classifier in Multi Label Classification-an Investigative Study. ACIT 2023: 1-9 - [c3]Danial Izzat Anwar Bin Abdul Aziz, Marina Yusoff, Nurain Ibrahim, Raed Alazaidah:
Paddy Diseases Multi-Class Classification using CNN Variants. ACIT 2023: 1-8 - [c2]Abdallah Moubayed, MohammadNoor Injadat, Nouh Alhindawi, Ghassan Samara, Sara Abuasal, Raed Alazaidah:
A Deep Learning Approach Towards Student Performance Prediction in Online Courses: Challenges Based on a Global Perspective. ACIT 2023: 1-6 - [c1]Ghassan Samara, Alaa Elhilo, Mahmoud Rajallah Asassfeh, MohammadNoor Injadat, Mais Haj Qasem, Raed Alazaidah, Mohammad Aljaidi, Nabeel Al-Milli, Adnan A. Hnaif:
Optimizing Road Safety through Intelligent Congestion Management. ACIT 2023: 1-7
Informal and Other Publications
- 2024
- [i1]Abdallah Moubayed, MohammadNoor Injadat, Nouh Alhindawi, Ghassan Samara, Sara Abuasal, Raed Alazaidah:
A Deep Learning Approach Towards Student Performance Prediction in Online Courses: Challenges Based on a Global Perspective. CoRR abs/2402.01655 (2024)
Coauthor Index
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