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ORCIDMhd Saeed Sharif
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2020 – today
- 2024
[j15]Yusuf Mothanna, Wael Elmedany
, Mustafa Hammad, Riadh Ksantini, Mhd Saeed Sharif:
Adopting security practices in software development process: Security testing framework for sustainable smart cities. Comput. Secur. 144: 103985 (2024)- [j14]Osamah Ibrahim Khalaf, Ashokkumar S. R, Sameer Algburi, Anupallavi S, Dhanasekaran Selvaraj, Mhd Saeed Sharif, Wael Elmedany:
Federated learning with hybrid differential privacy for secure and reliable cross-IoT platform knowledge sharing. Secur. Priv. 7(3) (2024) - [c24]Mhd Saeed Sharif, Madhav Raj Theeng Tamang, Mohammed Swalih Koya, Wael Elmedany:
Advancements in Sentiment Analysis: Insights, Innovations and Future Directions. FiCloud 2024: 195-200 - 2023
- [j13]Ahmed S. Alfakeeh, Mhd Saeed Sharif, Abin Daniel Zorto, Thiago Pillonetto:
Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis. Appl. Comput. Intell. Soft Comput. 2023: 8819052:1-8819052:12 (2023) - [j12]Mhd Saeed Sharif, Madhav Raj Theeng Tamang, Cynthia H. Y. Fu, Aaron Baker, Ahmed Ibrahim Alzahrani, Nasser Alalwan:
An Innovative Random-Forest-Based Model to Assess the Health Impacts of Regular Commuting Using Non-Invasive Wearable Sensors. Sensors 23(6): 3274 (2023) - [c23]Mhd Saeed Sharif, Madhav Raj Theeng Tamang, Cynthia H. Y. Fu, Wael Elmedany:
Employing Machine Learning Algorithms to Detect Stress with a Specific Emphasis on Commuting Methods. FiCloud 2023: 416-421 - [c22]Mohamed Sami Ragheb, Wael Elmedany, Mhd Saeed Sharif:
The Effectiveness of DKIM and SPF in Strengthening Email Security. FiCloud 2023: 422-426 - 2022
- [c21]Mhd Saeed Sharif, Wael Elmedany:
A Proposed Machine Learning Based Approach to Support Students with Learning Difficulties in The Post-Pandemic Norm. EDUCON 2022: 1988-1993 - [c20]Mhd Saeed Sharif, Wael Elmedany, Godwin Onyewumbu:
Mobile Phone Data Usage Analysis Among Youth Studying at Universities. FiCloud 2022: 289-294 - [c19]Afia Murad Ashraf, Wael M. Elmedany, Mhd Saeed Sharif:
Secure IoT Data Transmission at Physical Layer using RC6 Encryption Technique. FiCloud 2022: 307-315 - 2020
- [j11]Mhd Saeed Sharif, Maysam Abbod, Ali H. Al-Bayatti, Abbes Amira, Ahmed S. Alfakeeh, Bal Sanghera:
An Accurate Ensemble Classifier for Medical Volume Analysis: Phantom and Clinical PET Study. IEEE Access 8: 37482-37494 (2020) - [j10]Madhav Raj Theeng Tamang, Mhd Saeed Sharif, Ali H. Al-Bayatti, Ahmed S. Alfakeeh, Alhuseen Omar Alsayed:
A Machine-Learning-Based Approach to Predict the Health Impacts of Commuting in Large Cities: Case Study of London. Symmetry 12(5): 866 (2020) - [j9]Rasha Hafidh, Mhd Saeed Sharif, Ali H. Al-Bayatti, Ahmed S. Alfakeeh, Madini O. Alassafi, Mohammed A. Alqarni:
An Effective Knowledge-Based Modeling Approach towards a "Smart-School Care Coordination System" for Children and Young People with Special Educational Needs and Disabilities. Symmetry 12(9): 1495 (2020)
2010 – 2019
- 2019
- [j8]Solomon H. Ebenuwa, Mhd Saeed Sharif, Mamoun Alazab, Ameer Al-Nemrat:
Variance Ranking Attributes Selection Techniques for Binary Classification Problem in Imbalance Data. IEEE Access 7: 24649-24666 (2019) - [j7]Solomon H. Ebenuwa, Mhd Saeed Sharif, Ameer Al-Nemrat, Ali H. Al-Bayatti, Nasser Alalwan, Ahmed Ibrahim Alzahrani, Osama Alfarraj:
Variance Ranking for Multi-Classed Imbalanced Datasets: A Case Study of One-Versus-All. Symmetry 11(12): 1504 (2019) - [j6]Hani Alquhayz, Nasser Alalwan, Ahmed Ibrahim Alzahrani, Ali H. Al-Bayatti, Mhd Saeed Sharif:
Policy-Based Security Management System for 5G Heterogeneous Networks. Wirel. Commun. Mob. Comput. 2019: 4582391:1-4582391:14 (2019) - 2018
- [c18]Mhd Saeed Sharif, Usman Naeem, Syed Islam, Amin Karami:
Functional Connectivity Evaluation for Infant EEG Signals Based on Artificial Neural Network. IntelliSys (2) 2018: 426-438 - [c17]Kingsley Okoye, Syed Islam, Usman Naeem, Mhd Saeed Sharif, Muhammad Awais Azam, Amin Karami:
The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain. IntelliSys (1) 2018: 1381-1403 - 2017
- [c16]Sara Pizzamiglio, Usman Naeem, Shafiq ur Réhman, Mhd Saeed Sharif, Hassan Abdalla, Duncan L. Turner:
A Mutlimodal Approach to Measure the Distraction Levels of Pedestrians using Mobile Sensing. EUSPN/ICTH 2017: 89-96 - [c15]Syed Islam, Mhd Saeed Sharif, Usman Naeem, James Geehan:
SignalSense: towards quality service. UbiComp/ISWC Adjunct 2017: 627-630 - [c14]Usman Naeem, Syed Islam, Mhd Saeed Sharif, Sergey Sudakov, Muhammad Awais Azam:
Taskification: gamification of tasks. UbiComp/ISWC Adjunct 2017: 631-634 - [c13]Syed Islam, Usman Naeem, Mhd Saeed Sharif, Arnold Dovnarovic:
CrimeSafe: helping you stay safe. UbiComp/ISWC Adjunct 2017: 642-645 - [c12]Mhd Saeed Sharif, Mohammed Hayyan Alsibai, Elena Kushnerenko:
Evaluating bad and good EEG segments based on extracted features: Towards an automated understanding of infant behavior and attention. ICCSCE 2017: 85-90 - [c11]Mhd Saeed Sharif, Mohammed Hayyan Alsibai:
Medical data analysis based on Nao robot: An automated approach towards robotic real-time interaction with human body. ICCSCE 2017: 91-96 - [c10]Mohammed Hayyan Alsibai, Mhd Saeed Sharif, Salma Yaakub, Nurul Nadia Nor Hamran:
An innovative EPW design using add-on features to meet Malaysian requirements. ICCSCE 2017: 180-185 - 2015
- [j5]Mhd Saeed Sharif, Rami Qahwaji, Stanley S. Ipson, Arun Brahma:
Medical image classification based on artificial intelligence approaches: A practical study on normal and abnormal confocal corneal images. Appl. Soft Comput. 36: 269-282 (2015) - [j4]Mhd Saeed Sharif, Rami Qahwaji, Ehsan Shahamatnia, Rania Alzubaidi, Stanley S. Ipson, Arun Brahma:
An efficient intelligent analysis system for confocal corneal endothelium images. Comput. Methods Programs Biomed. 122(3): 421-436 (2015) - 2014
- [j3]Abdulhakim Elbita, Rami Qahwaji, Stanley S. Ipson, Mhd Saeed Sharif, Faruque Ghanchi:
Preparation of 2D sequences of corneal images for 3D model building. Comput. Methods Programs Biomed. 114(2): 194-205 (2014) - [c9]Mhd Saeed Sharif, Rami Qahwaji, Sofyan Hayajneh, Stanley S. Ipson, Rania Alzubaidi, Arun Brahma:
An efficient system for preprocessing confocal corneal images for subsequent analysis. UKCI 2014: 1-8 - 2012
- [j2]Mhd Saeed Sharif, Maysam F. Abbod, Abbes Amira, Habib Zaidi:
Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification. Adv. Fuzzy Syst. 2012: 327861:1-327861:10 (2012) - 2011
- [c8]Mhd Saeed Sharif, Maysam F. Abbod, Abbes Amira:
PET Volume Analysis Based on Committee Machine for Tumour Detection and Quantification. DeSE 2011: 135-140 - [c7]Mhd Saeed Sharif, Maysam F. Abbod, Abbes Amira:
Neuro-Fuzzy Based Approach for Analysing 3D PET Volume. DeSE 2011: 158-163 - 2010
- [j1]Mhd Saeed Sharif, Maysam F. Abbod, Abbes Amira, Habib Zaidi:
Artificial Neural Network-Based System for PET Volume Segmentation. Int. J. Biomed. Imaging 2010: 105610:1-105610:11 (2010) - [c6]Mhd Saeed Sharif, Maysam F. Abbod, Abbes Amira, Habib Zaidi:
Novel hybrid approach combining ANN and MRA for PET volume segmentation. APCCAS 2010: 596-599 - [c5]Hasan Tana, Abdul N. Sazish, Afandi Ahmad, Mhd Saeed Sharif, Abbes Amira:
Efficient FPGA implementation of a wireless communication system using Bluetooth connectivity. ISCAS 2010: 1767-1770 - [c4]Mhd Saeed Sharif, Abbes Amira, Habib Zaidi:
3D Oncological PET volume analysis using CNN and LVQNN. ISCAS 2010: 1783-1786 - [c3]Mhd Saeed Sharif, Abbes Amira, Habib Zaidi:
Intelligent approach for PET volume analysis. ISCAS 2010: 2291-2294
2000 – 2009
- 2009
- [c2]Abdul N. Sazish, Mhd Saeed Sharif, Abbes Amira:
Hardware implementation and power analysis of HWT for medical imaging. ICECS 2009: 775-778 - [c1]Mhd Saeed Sharif, Abbes Amira:
An intelligent system for pet tumour detection and quantification. ICIP 2009: 2625-2628
Coauthor Index
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