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ORCIDIrfan Ullah Khan 0002
Person information
- affiliation: Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
- affiliation (PhD 2011): Middlesex University, School of Engineering & Information Science, London, UK
- affiliation (former): Kohat University of Science & Technology, Department of Information Technology, Pakistan
Other persons with the same name
- Irfan Ullah Khan 0001 — University of Sheffield, UK (and 1 more)
- Irfan Ullah Khan 0003 — University of Padua, Italy
- Irfan Ullah (aka: Irfanullah) — disambiguation page
- Irfan Ullah 0001
![[0000-0003-0693-5467]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0693-5467")
— Shaheed Benazir Bhutto University, Department of Computer Science, Sheringal, Pakistan (and 1 more) - Irfan Ullah 0003 — Chongqing University, State Key Laboratory of Power Transmission Equipment and System Security and New Technology, China
- Irfan Ullah 0004 — Hyung Hee University, Department of Computer Science and Engineering,, Yongin, Korea
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2020 – today
- 2023
[j26]Abrar Alamoudi, Irfan Ullah Khan, Nida Aslam, Nourah Hasan Al Qahtani, Hind S. Alsaif, Omran Al Dandan, Mohammed Al Gadeeb, Ridha Al Bahrani:
A Deep Learning Fusion Approach to Diagnosis the Polycystic Ovary Syndrome (PCOS). Appl. Comput. Intell. Soft Comput. 2023: 9686697:1-9686697:15 (2023)- [j25]Sumayh S. Aljameel, Manar Alzahrani, Reem Almusharraf, Majd Altukhais, Sadeem Alshaia, Hanan S. Altamimi, Nida Aslam, Irfan Ullah Khan, Dina A. Alabbad, Albandari Alsumayt:
Prediction of Preeclampsia Using Machine Learning and Deep Learning Models: A Review. Big Data Cogn. Comput. 7(1): 32 (2023) - 2022
- [j24]Sarah Alwarthan, Nida Aslam, Irfan Ullah Khan:
An Explainable Model for Identifying At-Risk Student at Higher Education. IEEE Access 10: 107649-107668 (2022) - [j23]Nida Aslam, Irfan Ullah Khan, Aisha Alansari, Marah Alrammah, Atheer Alghwairy, Rahaf Alqahtani, Razan Alqahtani, Maryam Almushikes, Mohammed AL Hashim:
Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells. Appl. Comput. Intell. Soft Comput. 2022: 1558381:1-1558381:14 (2022) - [j22]Sarah Alwarthan, Nida Aslam, Irfan Ullah Khan:
Predicting Student Academic Performance at Higher Education Using Data Mining: A Systematic Review. Appl. Comput. Intell. Soft Comput. 2022: 8924028:1-8924028:26 (2022) - [j21]Irfan Ullah Khan, Nida Aslam, Fatima M. Anis, Samiha Mirza, Alanoud Alowayed, Reef M. Aljuaid, Razan M. Bakr, Nourah Hasan Al Qahtani:
Deep Learning-Based Computer-Aided Classification of Amniotic Fluid Using Ultrasound Images from Saudi Arabia. Big Data Cogn. Comput. 6(4): 107 (2022) - [j20]Mohib Ullah, Rafiullah Khan, Irfan Ullah Khan, Nida Aslam, Sumayh S. Aljameel, Muhammad Inam Ul Haq, Muhammad Arshad Islam:
Profile Aware ObScure Logging (PaOSLo): A Web Search Privacy-Preserving Protocol to Mitigate Digital Traces. Secur. Commun. Networks 2022: 2109024:1-2109024:13 (2022) - [j19]Irfan Ullah Khan, Nida Aslam, Talha Anwar, Hind S. Alsaif, Sara Mhd. Bachar Chrouf, Norah A. Alzahrani, Fatimah Ahmed Alamoudi, Mariam Moataz Aly Kamaleldin, Khaled Bassam Awary:
Using a Deep Learning Model to Explore the Impact of Clinical Data on COVID-19 Diagnosis Using Chest X-ray. Sensors 22(2): 669 (2022) - [j18]Irfan Ullah Khan, Nida Aslam, Fatima M. Anis, Samiha Mirza, Alanoud Alowayed, Reef M. Aljuaid, Razan M. Bakr:
Amniotic Fluid Classification and Artificial Intelligence: Challenges and Opportunities. Sensors 22(12): 4570 (2022) - [j17]Mumtaz Ali Shah, Farrukh Zeeshan Khan, Ghulam Abbas, Ziaul Haq Abbas, Jehad Ali, Sumayh S. Aljameel, Irfan Ullah Khan, Nida Aslam:
Optimal Path Routing Protocol for Warning Messages Dissemination for Highway VANET. Sensors 22(18): 6839 (2022) - [j16]Nida Aslam, Irfan Ullah Khan, Asma Bashamakh, Fatima A. Alghool, Menna Aboulnour, Noorah M. Alsuwayan, Rawa'a K. Alturaif, Samiha Brahimi, Sumayh S. Aljameel, Kholoud Al Ghamdi:
Multiple Sclerosis Diagnosis Using Machine Learning and Deep Learning: Challenges and Opportunities. Sensors 22(20): 7856 (2022) - [j15]Irfan Ullah Khan, Nida Aslam, Rana AlShedayed, Dina AlFrayan, Rand AlEssa, Noura A. AlShuail, Alhawra Al Safwan:
A Proactive Attack Detection for Heating, Ventilation, and Air Conditioning (HVAC) System Using Explainable Extreme Gradient Boosting Model (XGBoost). Sensors 22(23): 9235 (2022) - 2021
- [j14]Kawther S. Alqudaihi, Nida Aslam, Irfan Ullah Khan, Abdullah Mohammed Almuhaideb, Shikah J. Alsunaidi, Nehad M. Ibrahim, Fahd A. Alhaidari, Fatema Shaikh, Yasmine Alsenbel, Dima Alalharith, Hajar Alharthi, Wejdan M. Alghamdi, Mohammed S. Alshahrani:
Cough Sound Detection and Diagnosis Using Artificial Intelligence Techniques: Challenges and Opportunities. IEEE Access 9: 102327-102344 (2021) - [j13]Nida Aslam, Irfan Ullah Khan, Farah Salem Alotaibi, Lama Abdulaziz Aldaej, Asma Khaled Aldubaikil:
Fake Detect: A Deep Learning Ensemble Model for Fake News Detection. Complex. 2021: 5557784:1-5557784:8 (2021) - [j12]Irfan Ullah Khan, Nida Aslam, Talha Anwar, Sumayh S. Aljameel, Mohib Ullah, Rafiullah Khan, Abdul Rehman, Nadeem Akhtar:
Remote Diagnosis and Triaging Model for Skin Cancer Using EfficientNet and Extreme Gradient Boosting. Complex. 2021: 5591614:1-5591614:13 (2021) - [j11]Nida Aslam, Irfan Ullah Khan, Leena H. Alamri, Ranim S. Almuslim:
An Improved Early Student's Academic Performance Prediction Using Deep Learning. Int. J. Emerg. Technol. Learn. 16(12) (2021) - [j10]Shikah J. Alsunaidi, Abdullah Mohammed Almuhaideb, Nehad M. Ibrahim, Fatema Shaikh, Kawther S. Alqudaihi, Fahd A. Alhaidari, Irfan Ullah Khan, Nida Aslam, Mohammed S. Alshahrani:
Applications of Big Data Analytics to Control COVID-19 Pandemic. Sensors 21(7): 2282 (2021) - [j9]Fahd A. Alhaidari, Abdullah Mohammed Almuhaideb, Shikah J. Alsunaidi, Nehad M. Ibrahim, Nida Aslam, Irfan Ullah Khan, Fatema Shaikh, Mohammed Alshahrani, Hajar Alharthi, Yasmine Alsenbel, Dima Alalharith:
E-Triage Systems for COVID-19 Outbreak: Review and Recommendations. Sensors 21(8): 2845 (2021) - [j8]Rafi Ullah, Arbab Waseem Abbas, Mohib Ullah, Rafiullah Khan, Irfan Ullah Khan, Nida Aslam, Sumayh S. Aljameel:
EEWMP: An IoT-Based Energy-Efficient Water Management Platform for Smart Irrigation. Sci. Program. 2021: 5536884:1-5536884:9 (2021) - [j7]Irfan Ullah Khan, Nida Aslam, Rawan Alshehri, Seham Alzahrani, Manal Alghamdi, Atheer Almalki, Maryam Balabeed:
Cervical Cancer Diagnosis Model Using Extreme Gradient Boosting and Bioinspired Firefly Optimization. Sci. Program. 2021: 5540024:1-5540024:10 (2021) - [j6]Sumayh S. Aljameel, Irfan Ullah Khan, Nida Aslam, Malak Saleh Aljabri, Eman S. Alsulmi:
Machine Learning-Based Model to Predict the Disease Severity and Outcome in COVID-19 Patients. Sci. Program. 2021: 5587188:1-5587188:10 (2021) - 2020
- [j5]Irfan Ullah Khan, Nida Aslam:
A Deep-Learning-Based Framework for Automated Diagnosis of COVID-19 Using X-ray Images. Inf. 11(9): 419 (2020) - [c8]Bshayer S. Aldossari, Futun M. Alqahtani, Noura S. Alshahrani, Manar M. Alhammam, Razan M. Alzamanan, Nida Aslam, Irfan Ullah:
A Comparative Study of Decision Tree and Naive Bayes Machine Learning Model for Crime Category Prediction in Chicago. ICCDE 2020: 34-38 - [c7]Leena H. Alamri, Ranim S. Almuslim, Mona S. Alotibi, Dana K. Alkadi, Irfan Ullah Khan, Nida Aslam:
Predicting Student Academic Performance using Support Vector Machine and Random Forest. ICETM 2020: 100-107 - [c6]Lama A. Alqahtani, Hanadi M. Alotaibi, Irfan Ullah Khan, Nida Aslam:
Automated prediction of Heart disease using optimized machine learning techniques. UEMCON 2020: 298-302
2010 – 2019
- 2015
- [c5]Rooh Ullah, J. Jaafar, Abas B. Md Said, Irfanullah:
Semantic Intensity: Objects Contributions Towards Image Annotation. IVIC 2015: 237-248 - 2011
- [b1]Irfan Ullah:
Semantic multimedia modelling & interpretation for annotation. Middlesex University, London, UK, 2011 - [c4]Irfanullah, Nida Aslam, Jonathan Loo, Roohullah, Martin J. Loomes:
Adding semantics to the reliable object annotated image databases. WCIT 2011: 414-419 - [c3]Nida Aslam, Irfan Ullah, Jonathan Loo, Roohullah, Martin J. Loomes:
SemRank: ranking refinement strategy by using the semantic intensity. WCIT 2011: 420-425 - 2010
- [c2]Nida Aslam, Irfanullah, Jonathan Loo, Martin J. Loomes, Roohullah:
A Semantic Query Interpreter framework by using knowledge bases for image search and retrieval. ISSPIT 2010: 414-419 - [c1]Irfanullah, Nida Aslam, Jonathan Loo, Martin J. Loomes, Roohullah:
A framework for high level semantic annotation using trusted object annotated dataset. ISSPIT 2010: 491-495
2000 – 2009
- 2009
- [j4]Irfanullah, Nida Aslam, Kok-Keong Loo, Roohullah:
Semantic Annotation Gap: Where to put Responsibility?. J. Digit. Content Technol. its Appl. 3(1): 94-97 (2009) - [j3]Nida Aslam, Irfanullah, Kok-Keong Loo, Roohullah:
Limitation and Challenges- Image/Video Search & Retrieval. J. Digit. Content Technol. its Appl. 3(1): 98-102 (2009) - [j2]Nida Aslam, Irfanullah, Kok-Keong Loo, Roohullah:
Growing Trend from Uni-to-Multimodal Video Indexing. J. Digit. Content Technol. its Appl. 3(2): 147-151 (2009) - [j1]Irfanullah, Nida Aslam, Kok-Keong Loo, Roohullah:
Semantic Multimedia Annotation - Text Analysis. J. Digit. Content Technol. its Appl. 3(2): 152-156 (2009)
Coauthor Index
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