Limitation and Challenges- Image/Video Search & Retrieval. - Nida Aslam; Irfanullah 002; Kok-Keong Loo; Roohullah (J. Digit. Content Technol. its Appl., 2009)

Growing Trend from Uni-to-Multimodal Video Indexing. - Nida Aslam; Irfanullah 002; Kok-Keong Loo; Roohullah (J. Digit. Content Technol. its Appl., 2009)

Semantic Annotation Gap: Where to put Responsibility?. - Irfanullah 002; Nida Aslam; Kok-Keong Loo; Roohullah (J. Digit. Content Technol. its Appl., 2009)

Semantic Multimedia Annotation - Text Analysis. - Irfanullah 002; Nida Aslam; Kok-Keong Loo; Roohullah (J. Digit. Content Technol. its Appl., 2009)

A Semantic Query Interpreter framework by using knowledge bases for image search and retrieval. - Nida Aslam; Irfanullah 002; Jonathan Loo; Martin J. Loomes; Roohullah (ISSPIT, 2010)

A framework for high level semantic annotation using trusted object annotated dataset. - Irfanullah 002; Nida Aslam; Jonathan Loo; Martin J. Loomes; Roohullah (ISSPIT, 2010)

SemRank: ranking refinement strategy by using the semantic intensity. - Nida Aslam; Irfan Ullah 002; Jonathan Loo; Roohullah; Martin J. Loomes (WCIT, 2011)

Adding semantics to the reliable object annotated image databases. - Irfanullah 002; Nida Aslam; Jonathan Loo; Roohullah; Martin J. Loomes (WCIT, 2011)

Semantic multimedia modelling & interpretation for annotation. - Irfan Ullah 002 (2011)

Semantic Intensity: Objects Contributions Towards Image Annotation. - Rooh Ullah; J. Jaafar; Abas B. Md Said; Irfanullah 002 (IVIC, 2015)

A Comparative Study of Decision Tree and Naive Bayes Machine Learning Model for Crime Category Prediction in Chicago. - Bshayer S. Aldossari; Futun M. Alqahtani; Noura S. Alshahrani; Manar M. Alhammam; Razan M. Alzamanan; Nida Aslam; Irfan Ullah 002 (ICCDE, 2020)

Predicting Student Academic Performance using Support Vector Machine and Random Forest. - Leena H. Alamri; Ranim S. Almuslim; Mona S. Alotibi; Dana K. Alkadi; Irfan Ullah Khan 002; Nida Aslam (ICETM, 2020)

Automated prediction of Heart disease using optimized machine learning techniques. - Lama A. Alqahtani; Hanadi M. Alotaibi; Irfan Ullah Khan 002; Nida Aslam (UEMCON, 2020)

A Deep-Learning-Based Framework for Automated Diagnosis of COVID-19 Using X-ray Images. - Irfan Ullah Khan 002; Nida Aslam (Inf., 2020)

Cough Sound Detection and Diagnosis Using Artificial Intelligence Techniques: Challenges and Opportunities. - Kawther S. Alqudaihi; Nida Aslam; Irfan Ullah Khan 002; Abdullah Mohammed Almuhaideb; Shikah J. Alsunaidi; Nehad M. Ibrahim; Fahd A. Alhaidari; Fatema Shaikh; Yasmine Alsenbel; Dima Alalharith; Hajar Alharthi; Wejdan M. Alghamdi; et al. (IEEE Access, 2021)

Fake Detect: A Deep Learning Ensemble Model for Fake News Detection. - Nida Aslam; Irfan Ullah Khan 002; Farah Salem Alotaibi; Lama Abdulaziz Aldaej; Asma Khaled Aldubaikil (Complex., 2021)

Remote Diagnosis and Triaging Model for Skin Cancer Using EfficientNet and Extreme Gradient Boosting. - Irfan Ullah Khan 002; Nida Aslam; Talha Anwar; Sumayh S. Aljameel; Mohib Ullah; Rafiullah Khan; Abdul Rehman 004; Nadeem Akhtar (Complex., 2021)

An Improved Early Student's Academic Performance Prediction Using Deep Learning. - Nida Aslam; Irfan Ullah Khan 002; Leena H. Alamri; Ranim S. Almuslim (Int. J. Emerg. Technol. Learn., 2021)

E-Triage Systems for COVID-19 Outbreak: Review and Recommendations. - Fahd A. Alhaidari; Abdullah Mohammed Almuhaideb; Shikah J. Alsunaidi; Nehad M. Ibrahim; Nida Aslam; Irfan Ullah Khan 002; Fatema Shaikh; Mohammed Alshahrani; Hajar Alharthi; Yasmine Alsenbel; Dima Alalharith (Sensors, 2021)

Applications of Big Data Analytics to Control COVID-19 Pandemic. - Shikah J. Alsunaidi; Abdullah Mohammed Almuhaideb; Nehad M. Ibrahim; Fatema Shaikh; Kawther S. Alqudaihi; Fahd A. Alhaidari; Irfan Ullah Khan 002; Nida Aslam; Mohammed S. Alshahrani (Sensors, 2021)

Machine Learning-Based Model to Predict the Disease Severity and Outcome in COVID-19 Patients. - Sumayh S. Aljameel; Irfan Ullah Khan 002; Nida Aslam; Malak Saleh Aljabri; Eman S. Alsulmi (Sci. Program., 2021)

Cervical Cancer Diagnosis Model Using Extreme Gradient Boosting and Bioinspired Firefly Optimization. - Irfan Ullah Khan 002; Nida Aslam; Rawan Alshehri; Seham Alzahrani; Manal Alghamdi; Atheer Almalki; Maryam Balabeed (Sci. Program., 2021)

EEWMP: An IoT-Based Energy-Efficient Water Management Platform for Smart Irrigation. - Rafi Ullah; Arbab Waseem Abbas; Mohib Ullah; Rafiullah Khan; Irfan Ullah Khan 002; Nida Aslam; Sumayh S. Aljameel (Sci. Program., 2021)

An Explainable Model for Identifying At-Risk Student at Higher Education. - Sarah Alwarthan; Nida Aslam; Irfan Ullah Khan 002 (IEEE Access, 2022)

Predicting Student Academic Performance at Higher Education Using Data Mining: A Systematic Review. - Sarah Alwarthan; Nida Aslam; Irfan Ullah Khan 002 (Appl. Comput. Intell. Soft Comput., 2022)

Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells. - Nida Aslam; Irfan Ullah Khan 002; Aisha Alansari; Marah Alrammah; Atheer Alghwairy; Rahaf Alqahtani; Razan Alqahtani; Maryam Almushikes; Mohammed AL Hashim (Appl. Comput. Intell. Soft Comput., 2022)

Deep Learning-Based Computer-Aided Classification of Amniotic Fluid Using Ultrasound Images from Saudi Arabia. - Irfan Ullah Khan 002; Nida Aslam; Fatima M. Anis; Samiha Mirza; Alanoud Alowayed; Reef M. Aljuaid; Razan M. Bakr; Nourah Hasan Al Qahtani (Big Data Cogn. Comput., 2022)

Profile Aware ObScure Logging (PaOSLo): A Web Search Privacy-Preserving Protocol to Mitigate Digital Traces. - Mohib Ullah; Rafiullah Khan; Irfan Ullah Khan 002; Nida Aslam; Sumayh S. Aljameel; Muhammad Inam Ul Haq; Muhammad Arshad Islam (Secur. Commun. Networks, 2022)

Multiple Sclerosis Diagnosis Using Machine Learning and Deep Learning: Challenges and Opportunities. - Nida Aslam; Irfan Ullah Khan 002; Asma Bashamakh; Fatima A. Alghool; Menna Aboulnour; Noorah M. Alsuwayan; Rawa'a K. Alturaif; Samiha Brahimi; Sumayh S. Aljameel; Kholoud Al Ghamdi (Sensors, 2022)

A Proactive Attack Detection for Heating, Ventilation, and Air Conditioning (HVAC) System Using Explainable Extreme Gradient Boosting Model (XGBoost). - Irfan Ullah Khan 002; Nida Aslam; Rana AlShedayed; Dina AlFrayan; Rand AlEssa; Noura A. AlShuail; Alhawra Al Safwan (Sensors, 2022)

Using a Deep Learning Model to Explore the Impact of Clinical Data on COVID-19 Diagnosis Using Chest X-ray. - Irfan Ullah Khan 002; Nida Aslam; Talha Anwar; Hind S. Alsaif; Sara Mhd. Bachar Chrouf; Norah A. Alzahrani; Fatimah Ahmed Alamoudi; Mariam Moataz Aly Kamaleldin; Khaled Bassam Awary (Sensors, 2022)

Amniotic Fluid Classification and Artificial Intelligence: Challenges and Opportunities. - Irfan Ullah Khan 002; Nida Aslam; Fatima M. Anis; Samiha Mirza; Alanoud Alowayed; Reef M. Aljuaid; Razan M. Bakr (Sensors, 2022)

Optimal Path Routing Protocol for Warning Messages Dissemination for Highway VANET. - Mumtaz Ali Shah; Farrukh Zeeshan Khan; Ghulam Abbas 002; Ziaul Haq Abbas; Jehad Ali; Sumayh S. Aljameel; Irfan Ullah Khan 002; Nida Aslam (Sensors, 2022)

A Deep Learning Fusion Approach to Diagnosis the Polycystic Ovary Syndrome (PCOS). - Abrar Alamoudi; Irfan Ullah Khan 002; Nida Aslam; Nourah Hasan Al Qahtani; Hind S. Alsaif; Omran Al Dandan; Mohammed Al Gadeeb; Ridha Al Bahrani (Appl. Comput. Intell. Soft Comput., 2023)

Prediction of Preeclampsia Using Machine Learning and Deep Learning Models: A Review. - Sumayh S. Aljameel; Manar Alzahrani; Reem Almusharraf; Majd Altukhais; Sadeem Alshaia; Hanan S. Altamimi; Nida Aslam; Irfan Ullah Khan 002; Dina A. Alabbad; Albandari Alsumayt (Big Data Cogn. Comput., 2023)