Nida Aslam - researchr alias

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Viewing Publication 1 - 37 from 37

2024

Protecting IoT devices from security attacks using effective decision-making strategy of appropriate featuresInam Ullah, Asra Noor, Shah Nazir, Farhad Ali, Yazeed Yasin Ghadi, Nida Aslam. tjs, 80(5):5870-5899, March 2024. [doi]

2023

2022

A Proactive Attack Detection for Heating, Ventilation, and Air Conditioning (HVAC) System Using Explainable Extreme Gradient Boosting Model (XGBoost)Irfan Ullah Khan 0002, Nida Aslam, Rana AlShedayed, Dina AlFrayan, Rand AlEssa, Noura A. AlShuail, Alhawra Al Safwan. sensors, 22(23):9235, 2022. [doi]

Deep Learning-Based Computer-Aided Classification of Amniotic Fluid Using Ultrasound Images from Saudi ArabiaIrfan Ullah Khan 0002, Nida Aslam, Fatima M. Anis, Samiha Mirza, Alanoud Alowayed, Reef M. Aljuaid, Razan M. Bakr, Nourah Hasan Al Qahtani. bdcc, 6(4):107, 2022. [doi]

Homoglyph Attack Detection Model Using Machine Learning and Hash FunctionAbdullah Mohammed Almuhaideb, Nida Aslam, Almaha Alabdullatif, Sarah Altamimi, Shooq Alothman, Amnah Alhussain, Waad Aldosari, Shikah J. Alsunaidi, Khalid A. Alissa. jsan, 11(3):54, 2022. [doi]

Predicting Student Academic Performance at Higher Education Using Data Mining: A Systematic ReviewSarah Alwarthan, Nida Aslam, Irfan Ullah Khan. acisc, 2022, 2022. [doi]

An Explainable Model for Identifying At-Risk Student at Higher EducationSarah Alwarthan, Nida Aslam, Irfan Ullah Khan. access, 10:107649-107668, 2022. [doi]

Explainable Artificial Intelligence Approach for the Early Prediction of Ventilator Support and Mortality in COVID-19 PatientsNida Aslam. computation, 10(3):36, 2022. [doi]

Multiple Sclerosis Diagnosis Using Machine Learning and Deep Learning: Challenges and OpportunitiesNida 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. sensors, 22(20):7856, 2022. [doi]

Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil WellsNida Aslam, Irfan Ullah Khan, Aisha Alansari, Marah Alrammah, Atheer Alghwairy, Rahaf Alqahtani, Razan Alqahtani, Maryam Almushikes, Mohammed AL Hashim. acisc, 2022, 2022. [doi]

Amniotic Fluid Classification and Artificial Intelligence: Challenges and OpportunitiesIrfan Ullah Khan, Nida Aslam, Fatima M. Anis, Samiha Mirza, Alanoud Alowayed, Reef M. Aljuaid, Razan M. Bakr. sensors, 22(12):4570, 2022. [doi]

Using a Deep Learning Model to Explore the Impact of Clinical Data on COVID-19 Diagnosis Using Chest X-rayIrfan 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. sensors, 22(2):669, 2022. [doi]

Optimal Path Routing Protocol for Warning Messages Dissemination for Highway VANETMumtaz Ali Shah, Farrukh Zeeshan Khan, Ghulam Abbas 0002, Ziaul Haq Abbas, Jehad Ali, Sumayh S. Aljameel, Irfan Ullah Khan, Nida Aslam. sensors, 22(18):6839, 2022. [doi]

Profile Aware ObScure Logging (PaOSLo): A Web Search Privacy-Preserving Protocol to Mitigate Digital TracesMohib Ullah, Rafiullah Khan, Irfan Ullah Khan, Nida Aslam, Sumayh S. Aljameel, Muhammad Inam Ul Haq, Muhammad Arshad Islam. scn, 2022, 2022. [doi]

2021

E-Triage Systems for COVID-19 Outbreak: Review and RecommendationsFahd Alhaidari, Abdullah M. Almuhaideb, Shikah J. Alsunaidi, Nehad Ibrahim, Nida Aslam, Irfan Ullah Khan, Fatema Shaikh, Mohammed Alshahrani, Hajar Alharthi, Yasmine Alsenbel, Dima Alalharith. sensors, 21(8):2845, 2021. [doi]

Machine Learning-Based Model to Predict the Disease Severity and Outcome in COVID-19 PatientsSumayh S. Aljameel, Irfan Ullah Khan, Nida Aslam, Malak Aljabri, Eman S. Alsulmi. sp, 2021, 2021. [doi]

Cough Sound Detection and Diagnosis Using Artificial Intelligence Techniques: Challenges and OpportunitiesKawther S. Alqudaihi, Nida Aslam, Irfan Ullah Khan, Abdullah M. Almuhaideb, Shikah J. Alsunaidi, Nehad M. Ibrahim, Fahd A. Alhaidari, Fatema Shaikh, Yasmine Alsenbel, Dima Alalharith, Hajar Alharthi, Wejdan M. Alghamdi, Mohammed S. Alshahrani. access, 9:102327-102344, 2021. [doi]

Applications of Big Data Analytics to Control COVID-19 PandemicShikah J. Alsunaidi, Abdullah M. Almuhaideb, Nehad M. Ibrahim, Fatema Shaikh, Kawther S. Alqudaihi, Fahd A. Alhaidari, Irfan Ullah Khan, Nida Aslam, Mohammed S. Alshahrani. sensors, 21(7):2282, 2021. [doi]

An Improved Early Student's Academic Performance Prediction Using Deep LearningNida Aslam, Irfan Ullah Khan, Leena H. Alamri, Ranim S. Almuslim. ijet, 16(12), 2021. [doi]

Fake Detect: A Deep Learning Ensemble Model for Fake News DetectionNida Aslam, Irfan Ullah Khan, Farah Salem Alotaibi, Lama Abdulaziz Aldaej, Asma Khaled Aldubaikil. complexity, 2021, 2021. [doi]

Cervical Cancer Diagnosis Model Using Extreme Gradient Boosting and Bioinspired Firefly OptimizationIrfan Ullah Khan, Nida Aslam, Rawan Alshehri, Seham Alzahrani, Manal Alghamdi, Atheer Almalki, Maryam Balabeed. sp, 2021, 2021. [doi]

Remote Diagnosis and Triaging Model for Skin Cancer Using EfficientNet and Extreme Gradient BoostingIrfan Ullah Khan, Nida Aslam, Talha Anwar, Sumayh S. Aljameel, Mohib Ullah, Rafiullah Khan, Abdul Rehman 0004, Nadeem Akhtar. complexity, 2021, 2021. [doi]

EEWMP: An IoT-Based Energy-Efficient Water Management Platform for Smart IrrigationRafi Ullah, Arbab Waseem Abbas, Mohib Ullah, Rafiullah Khan, Irfan Ullah Khan, Nida Aslam, Sumayh S. Aljameel. sp, 2021, 2021. [doi]

2020

2011

Semantic multimedia modelling & interpretation for search & retrievalNida Aslam. PhD thesis, Middlesex University, London, UK, 2011. [doi]

SemRank: ranking refinement strategy by using the semantic intensityNida Aslam, Irfan-Ullah Awan, Jonathan Loo, Roohullah, Martin Loomes. procedia, 3:420-425, 2011. [doi]

Adding semantics to the reliable object annotated image databasesIrfanullah, Nida Aslam, Jonathan Loo, Roohullah, Martin Loomes. procedia, 3:414-419, 2011. [doi]

2010

A Semantic Query Interpreter framework by using knowledge bases for image search and retrievalNida Aslam, Irfanullah, Jonathan Loo, Martin Loomes, Roohullah. isspit 2011: 414-419 [doi]

A framework for high level semantic annotation using trusted object annotated datasetIrfanullah, Nida Aslam, Jonathan Loo, Martin Loomes, Roohullah. isspit 2011: 491-495 [doi]

2009

Growing Trend from Uni-to-Multimodal Video IndexingNida Aslam, Irfanullah, Kok-Keong Loo, Roohullah. jdcta, 3(2):147-151, 2009. [doi]

Limitation and Challenges- Image/Video Search & RetrievalNida Aslam, Irfanullah, Kok-Keong Loo, Roohullah. jdcta, 3(1):98-102, 2009. [doi]

Semantic Multimedia Annotation - Text AnalysisIrfanullah, Nida Aslam, Kok-Keong Loo, Roohullah. jdcta, 3(2):152-156, 2009. [doi]

Semantic Annotation Gap: Where to put Responsibility?Irfanullah, Nida Aslam, Kok-Keong Loo, Roohullah. jdcta, 3(1):94-97, 2009. [doi]

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