| Identifying OSPF LSA falsification attacks through non-linear analysis B Al-Musawi, P Branch, MF Hassan, SR Pokhrel Computer Networks 167, 107031, 2020 | 12 | 2020 |
| Performance analysis of majority vote combiner for multiple classifier systems MF Hassan, I Abdel-Qader 2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015 | 8 | 2015 |
| A new method for ensemble combination based on adaptive decision making MF Hassan, I Abdel-Qader, B Bazuin Knowledge-Based Systems, 107544, 2021 | 7 | 2021 |
| Energy-balanced and distributed clustering protocol for IoT wireless sensors MF Hassan, SR Pokhrel, B Al-Musawi 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW …, 2020 | 6 | 2020 |
| Design and implementation of fast floating point units for FPGAs MF Hassan, KF Hussein, B Al-Musawi Indonesian Journal of Electrical Engineering and Computer Science 19 (3 …, 2020 | 4 | 2020 |
| RDTD: A tool for detecting internet routing disruptions at AS-level B Al-Musawi, MF Hassan, SM Alturfi Journal of Telecommunications and the Digital Economy 8 (2), 18-30, 2020 | 4 | 2020 |
| Analysis of multiple classifier system using product and modified product rules MF Hassan, I Abdel-Qader 2015 IEEE International Conference on Electro/Information Technology (EIT …, 2015 | 4 | 2015 |
| Innovative fitness functions for robust energy management in WSNs MF Hassan, B Al-Musawi, AK Al-Janabi Journal of Network and Systems Management 31 (4), 76, 2023 | 3 | 2023 |
| Improving pattern classification by nonlinearly combined classifiers MF Hassan, I Abdel-Qader 2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive …, 2016 | 2 | 2016 |
| Optimization Of Hyperbolic Tangent Apodized Chirped Fiber Bragg Gratings (Cfbg) For Dispersion Compensation In Optical Fiber Communication MF Hassan Al-Qadisiyah Journal for Engineering Sciences 1 (2), 2008 | 2 | 2008 |
| An effective ensemble learning approach for classification of glioma grades based on novel MRI features MF Hassan, AN Al-Zurfi, MH Abed, K Ahmed Scientific Reports 14 (1), 11977, 2024 | 1 | 2024 |
| A Comparative Study of IDS-Based Deep Learning Models for IoT Network BN Shaker, BQ Al-Musawi, MF Hassan Proceedings of the 2023 International Conference on Advances in Artificial …, 2023 | 1 | 2023 |
| Improving the discovery of rare variants associated with alcohol problems by leveraging machine learning phenotype prediction and functional information M Ahangari, AE Gentry, MF Hassan, TH Nguyen, KS Kendler, SA Bacanu, ... bioRxiv, 2023.09. 11.557163, 2023 | 1 | 2023 |
| Simulation of High Speed and Long-Haul Optical Communication Systems MF Hassan Journal of Babylon University/Pure and Applied Sciences 19 (3), 2011 | 1* | 2011 |
| W45. MAGIC-XGBOOST ENHANCES UNMEASURED PHENOTYPE PREDICTION AND GENOMIC DISCOVERIES OF MAJOR DEPRESSIVE DISORDER IN THE UK BIOBANK A Gentry, H Mohammed, M Singh, R Peterson, BT Webb European Neuropsychopharmacology 87, 124-125, 2024 | | 2024 |
| Machine Learning Approaches to Predict Alcohol Consumption from Biomarkers in the UK Biobank MF Hassan, AE Gentry, EC Prom-Wormley, RE Peterson, BT Webb medRxiv, 2024.12. 22.24319486, 2024 | | 2024 |
| T27. BLOOD-BASED BIOMARKERS TO PREDICT MAJOR DEPRESSIVE DISORDER PHENOTYPES: A MACHINE LEARNING APPROACH A Gentry, MB Singh, H Mohammed, RE Peterson, WB Todd European Neuropsychopharmacology 75, S176, 2023 | | 2023 |
| Scalable image compression algorithms with small and fixed-size memory AK Al-Janabi, YJ Harbi, MF Hassan Signal, Image and Video Processing 17 (7), 3331-3338, 2023 | | 2023 |
| Predictive modeling of alcohol consumption using blood-based biomarkers: A machine learning approach MF Hassan, AE Gentry, RE Peterson, BT Webb. American Society of Human Genetics, 2023 | | 2023 |
| Machine Learning to Predict Alcohol Consumption From Blood-Based Biomarkers AE Gentry, MF Hassan, RE Peterson, BT Webb NIDA International Forum, 2023 | | 2023 |
Bahaa Al-MusawiUniversity of KufaCorreu electrònic verificat a uokufa.edu.iq
