Nida Aslam

ORCID

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 27

Top Venues

Sensors

Sci. Program.

Appl. Comput. Intell. Soft Comput.

Complex.

Middlesex University, London, UK (PHD)

Education History

Middlesex University, London, UK

PHD

Publications

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 (2023)
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) (2023)
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) (2022)
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) (2022)
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) (2022)
Abdullah Mohammed Almuhaideb, Nida Aslam, Almaha Alabdullatif, Sarah Altamimi, Shooq Alothman, Amnah Alhussain, Waad Aldosari, Shikah J. Alsunaidi, Khalid A. Alissa
Homoglyph Attack Detection Model Using Machine Learning and Hash Function. J. Sens. Actuator Networks 11 (3) (2022)
Sarah Alwarthan, Nida Aslam, Irfan Ullah Khan
An Explainable Model for Identifying At-Risk Student at Higher Education. IEEE Access 10 (2022)
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) (2022)
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) (2022)
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 (2022)
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) (2022)
Nida Aslam
Explainable Artificial Intelligence Approach for the Early Prediction of Ventilator Support and Mortality in COVID-19 Patients. Comput. 10 (3) (2022)
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 (2022)
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 (2022)
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 (2021)
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)
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) (2021)
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 (2021)
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) (2021)
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 (2021)
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 (2021)
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 (2021)
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 (2021)
Irfan Ullah Khan, Nida Aslam
A Deep-Learning-Based Framework for Automated Diagnosis of COVID-19 Using X-ray Images. Inf. 11 (9) (2020)
Lama A. Alqahtani, Hanadi M. Alotaibi, Irfan Ullah Khan, Nida Aslam
Automated prediction of Heart disease using optimized machine learning techniques. UEMCON (2020)
Bshayer S. Aldossari, Futun M. Alqahtani, Noura S. Alshahrani, Manar M. Alhammam, Razan M. Alzamanan, Nida Aslam, Irfanullah
A Comparative Study of Decision Tree and Naive Bayes Machine Learning Model for Crime Category Prediction in Chicago. ICCDE (2020)
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)
Irfanullah, Nida Aslam, Jonathan Loo, Roohullah, Martin J. Loomes
Adding semantics to the reliable object annotated image databases. WCIT (2011)
Nida Aslam, Irfan Ullah, Jonathan Loo, Roohullah, Martin J. Loomes
SemRank: ranking refinement strategy by using the semantic intensity. WCIT (2011)
Irfanullah, Nida Aslam, Jonathan Loo, Martin J. Loomes, Roohullah
A framework for high level semantic annotation using trusted object annotated dataset. ISSPIT (2010)
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)
Irfanullah, Nida Aslam, Kok-Keong Loo, Roohullah
Semantic Annotation Gap: Where to put Responsibility?. J. Digit. Content Technol. its Appl. 3 (1) (2009)
Nida Aslam, Irfanullah, Kok-Keong Loo, Roohullah
Growing Trend from Uni-to-Multimodal Video Indexing. J. Digit. Content Technol. its Appl. 3 (2) (2009)
Irfanullah, Nida Aslam, Kok-Keong Loo, Roohullah
Semantic Multimedia Annotation - Text Analysis. J. Digit. Content Technol. its Appl. 3 (2) (2009)
Nida Aslam, Irfanullah, Kok-Keong Loo, Roohullah
Limitation and Challenges- Image/Video Search & Retrieval. J. Digit. Content Technol. its Appl. 3 (1) (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nida Aslam