N. Aslam

发表

Diagnosis and M onitoring of Alzheimer’s Patients Using Classical and Deep Learning Techniques

H. Le-Minh, M. Awais, M. Raza, 2019 .

Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells

Irfan Ullah Khan, Rahaf Alqahtani, Aisha Alansari, 2022, Appl. Comput. Intell. Soft Comput..

Predicting Student Academic Performance at Higher Education Using Data Mining: A Systematic Review

Irfan Ullah Khan, N. Aslam, Sarah A. Alwarthan, 2022, Appl. Comput. Intell. Soft Comput..

An Improved Early Student’s Performance Prediction Using Deep Learning

Irfan Ullah Khan, N. Aslam, Leena H. Alamri, 2021 .

An Explainable Model for Identifying At-Risk Student at Higher Education

Irfan Ullah Khan, N. Aslam, Sarah Alwarthan, 2022, IEEE Access.

Multiple Sclerosis Diagnosis Using Machine Learning and Deep Learning: Challenges and Opportunities

Irfan Ullah Khan, Sumayh S. Aljameel, Menna Aboulnour, 2022, Sensors.

Automated prediction of Heart disease using optimized machine learning techniques

Irfan Ullah Khan, N. Aslam, Lama A. Alqahtani, 2020, 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON).

A Proactive Attack Detection for Heating, Ventilation, and Air Conditioning (HVAC) System Using Explainable Extreme Gradient Boosting Model (XGBoost)

Irfan Ullah Khan, N. Aslam, Rana AlShedayed, 2022, Sensors.

A proposed noninvasive point-of-care technique for measuring hemoglobin concentration

Futun M. Alqahtani, Noura S. Alshahrani, Razan M. Alzamanan, 2019, 2019 International Conference on Computer and Information Sciences (ICCIS).

Sentiment Classification of User Reviews Using Supervised Learning Techniques with Comparative Opinion Mining Perspective

Muhammad Zubair Asghar, Irfan Ullah, Umair Younis, 2019, Advances in Intelligent Systems and Computing.

COVID-19 prediction using machine learning based on the patient's vital signs: A case for Saudi Arabia

Irfan Ullah Khan, Kawther S. Alqudaihi, A. Almuhaideb, 2022, 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN).

Amniotic Fluid Classification and Artificial Intelligence: Challenges and Opportunities

Irfan Ullah Khan, Samiha Mirza, N. Aslam, 2022, Sensors.

Cough Sound Detection and Diagnosis Using Artificial Intelligence Techniques: Challenges and Opportunities

Irfan Ullah Khan, Shikah J. Alsunaidi, Dima M Alalharith, 2021, IEEE Access.

Machine Learning-Based Model to Predict the Disease Severity and Outcome in COVID-19 Patients

Irfan Ullah Khan, Sumayh S. Aljameel, M. Aljabri, 2021, Sci. Program..

A Deep-Learning-Based Framework for Automated Diagnosis of COVID-19 Using X-ray Images

Irfan Ullah Khan, Nida Aslam, N. Aslam, 2020, Inf..

Interpretable Machine Learning Models for Malicious Domains Detection Using Explainable Artificial Intelligence (XAI)

Irfan Ullah Khan, Samiha Mirza, N. Aslam, 2022, Sustainability.

Prediction of Preeclampsia Using Machine Learning and Deep Learning Models: A Review

Irfan Ullah Khan, Sumayh S. Aljameel, Dina A. Alabbad, 2023, Big Data Cogn. Comput..

Deep Learning-Based Computer-Aided Classification of Amniotic Fluid Using Ultrasound Images from Saudi Arabia

Irfan Ullah Khan, Samiha Mirza, N. Qahtani, 2022, Big Data Cogn. Comput..

Implementation of a Clustering-Based LDDoS Detection Method

Irfan Ullah Khan, Sumayh S. Aljameel, N. Aslam, 2022, Electronics.

A Deep Learning Fusion Approach to Diagnosis the Polycystic Ovary Syndrome (PCOS)

Irfan Ullah Khan, N. Qahtani, H. Alsaif, 2023, Appl. Comput. Intell. Soft Comput..

Explainable Computational Intelligence Model for Antepartum Fetal Monitoring to Predict the Risk of IUGR

Irfan Ullah Khan, Fatimah A Alramadan, N. Aslam, 2022, Electronics.

Cough Sound Detection and Diagnosis Using Artificial Intelligence Techniques: Challenges and Opportunities

Irfan Ullah Khan, Nida Aslam, Shikah J. Alsunaidi, 2021, IEEE Access.

Fake Detect: A Deep Learning Ensemble Model for Fake News Detection

Irfan Ullah Khan, Nida Aslam, Farah Salem Alotaibi, 2021, Complex..

E-Triage Systems for COVID-19 Outbreak: Review and Recommendations

Irfan Ullah Khan, Shikah J. Alsunaidi, Dima M Alalharith, 2021, Sensors.

Applications of Big Data Analytics to Control COVID-19 Pandemic

Irfan Ullah Khan, Shikah J. Alsunaidi, Kawther S. Alqudaihi, 2021, Sensors.

An Improved Early Student's Academic Performance Prediction Using Deep Learning

Irfan Ullah Khan, N. Aslam, Leena H. Alamri, 2021, Int. J. Emerg. Technol. Learn..

Cervical Cancer Diagnosis Model Using Extreme Gradient Boosting and Bioinspired Firefly Optimization

Irfan Ullah Khan, Nida Aslam, Seham Alzahrani, 2021, Sci. Program..

Computational Intelligence-Based Model for Mortality Rate Prediction in COVID-19 Patients

Irfan Ullah Khan, Sumayh S. Aljameel, M. Aljabri, 2021, International journal of environmental research and public health.

A Deep Learning-Based Approach for the Detection of Early Signs of Gingivitis in Orthodontic Patients Using Faster Region-Based Convolutional Neural Networks

Irfan Ullah Khan, Nida Aslam, Dima M Alalharith, 2020, International journal of environmental research and public health.

Using a Deep Learning Model to Explore the Impact of Clinical Data on COVID-19 Diagnosis Using Chest X-ray

Irfan Ullah Khan, T. Anwar, Norah A. Alzahrani, 2022, Sensors.

Predicting diabetic ketoacidosis in pediatric patients using machine learning

H. Alharthi, N. Aslam, Al-Din Madani, 2023, F1000Research.

Remote Diagnosis and Triaging Model for Skin Cancer Using EfficientNet and Extreme Gradient Boosting

Irfan Ullah Khan, Sumayh S. Aljameel, T. Anwar, 2021, Complex..

EEWMP: An IoT-Based Energy-Efficient Water Management Platform for Smart Irrigation

Mohib Ullah, Irfan Ullah Khan, Nida Aslam, 2021, Sci. Program..

Predicting Diabetic Patient Hospital Readmission Using Optimized Random Forest and Firefly Evolutionary Algorithm

Irfan Ullah Khan, N. Aslam, S. Alkhalifah, 2021, International Journal on Advanced Science, Engineering and Information Technology.

Optimal Path Routing Protocol for Warning Messages Dissemination for Highway VANET

Irfan Ullah Khan, Sumayh S. Aljameel, G. Abbas, 2022, Sensors.

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, 2020, ICCDE.

Explainable Artificial Intelligence Approach for the Early Prediction of Ventilator Support and Mortality in COVID-19 Patients

N. Aslam, 2022, Comput..

Machine Learning Model for Sentiment Analysis of COVID-19 Tweets

Irfan Ullah Khan, Sumayh S. Aljameel, M. Aljabri, 2022, International Journal on Advanced Science, Engineering and Information Technology.

SemRank: ranking refinement strategy by using the semantic intensity

Jonathan Loo, Martin Loomes, Irfan Ullah, 2011, WCIT.

Sentiment analysis on Education transformation during Covid-19 using Arabic tweets in KSA.

Irfan Ullah Khan, N. Aslam, Rana S. M. Saad, 2022, International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence.

Computational Intelligence-Based Model for Exploring Individual Perception on SARS-CoV-2 Vaccine in Saudi Arabia

Irfan Ullah Khan, Latifah Almulhim, N. Aslam, 2022, Computational intelligence and neuroscience.

Predicting Postoperative Length of Stay for Isolated Coronary Artery Bypass Graft Patients Using Machine Learning

Irfan Ullah Khan, H. Alharthi, Fatimah Alshakhs, 2020, International journal of general medicine.