Automated Breast Cancer Detection Using Machine Learning Techniques by Extracting Different Feature Extracting Strategies. - Lal Hussain; Wajid Aziz; Sharjil Saeed; Saima Rathore; Muhammad Rafique (TrustCom/BigDataSE, 2018)

Spatial Wavelet-Based Coherence and Coupling in EEG Signals With Eye Open and Closed During Resting State. - Lal Hussain; Wajid Aziz; Sharjil Saeed; Adnan Idris; Imtiaz Ahmad Awan; Saeed Arif Shah; Malik Sajjad Ahmed Nadeem; Saima Rathore (IEEE Access, 2018)

A multi-modal, multi-atlas-based approach for Alzheimer detection via machine learning. - Yousra Asim; Basit Raza; Ahmad Kamran Malik; Saima Rathore; Lal Hussain; Muhammad Aksam Iftikhar (Int. J. Imaging Syst. Technol., 2018)

Analyzing the Dynamics of Lung Cancer Imaging Data Using Refined Fuzzy Entropy Methods by Extracting Different Features. - Lal Hussain; Wajid Aziz; Abdulrahman A. Alshdadi; Malik Sajjad Ahmed Nadeem; Ishtiaq Rasool Khan; Qurat-ul-Ain Aini (IEEE Access, 2019)

Applying Bayesian Network Approach to Determine the Association Between Morphological Features Extracted from Prostate Cancer Images. - Lal Hussain; Amjad Ali 002; Saima Rathore; Sharjil Saeed; Adnan Idris; Muhammad Usama Usman; Muhammad Aksam Iftikhar; Doug Young Suh (IEEE Access, 2019)

Automated Multi-class Brain Tumor Types Detection by Extracting RICA Based Features and Employing Machine Learning Techniques. - Sadia Anjum; Lal Hussain; Mushtaq Ali; Adeel Ahmed Abbasi (MLCN/RNO-AI@MICCAI, 2020)

Machine Learning Based Cost Effective Electricity Load Forecasting Model Using Correlated Meteorological Parameters. - Muhammad Jawad; Malik Sajjad Ahmed Nadeem; Seong-O Shim; Ishtiaq Rasool Khan; Aliya Shaheen; Nazneen Habib; Lal Hussain; Wajid Aziz (IEEE Access, 2020)

Prostate Cancer Detection Using Deep Learning and Traditional Techniques. - Saqib Iqbal; Ghazanfar Farooq Siddiqui; Amjad Rehman; Lal Hussain; Tanzila Saba; Usman Tariq; Adeel Ahmed Abbasi (IEEE Access, 2021)

Initial Stage COVID-19 Detection System Based on Patients' Symptoms and Chest X-Ray Images. - Muhammad Attaullah; Mushtaq Ali; Maram Fahhad Almufareh; Muneer Ahmad; Lal Hussain; NZ Jhanjhi; Mamoona Humayun (Appl. Artif. Intell., 2022)

Intelligence based Accurate Medium and Long Term Load Forecasting System. - Faisal Mehmood Butt; Lal Hussain; Syed Hassan Mujtaba Jafri; Haya Mesfer Alshahrani; Fahd N. Al-Wesabi; Kashif Javed Lone; Elsayed M. Tag El Din; Mesfer Al Duhayyim (Appl. Artif. Intell., 2022)

Smart Cities-Based Improving Atmospheric Particulate Matters Prediction Using Chi-Square Feature Selection Methods by Employing Machine Learning Techniques. - Hanan Abdullah Mengash; Lal Hussain; Hany Mahgoub; A. Al-Qarafi; Mohamed K. Nour; Radwa Marzouk; Shahzad Ahmad Qureshi; Anwer Mustafa Hilal (Appl. Artif. Intell., 2022)

An Improved Imputation Method for Accurate Prediction of Imputed Dataset Based Radon Time Series. - Adil Aslam Mir; Fatih Vehbi Çelebi; Muhammad Rafique; Lal Hussain; Ahmed S. Almasoud; Masoud Alajmi; Fahd N. Al-Wesabi; Anwer Mustafa Hilal (IEEE Access, 2022)

Gunshots Localization and Classification Model Based on Wind Noise Sensitivity Analysis Using Extreme Learning Machine. - Shahzad Ahmad Qureshi; Lal Hussain; Haya Mesfer Alshahrani; Syed Rahat Abbas; Mohamed K. Nour; Nayabb Fatima; Muhammad Imran Khalid; Huniya Sohail; Abdullah Mohamed; Anwer Mustafa Hilal (IEEE Access, 2022)

Feature Ranking Importance from Multimodal Radiomic Texture Features using Machine Learning Paradigm: A Biomarker to Predict the Lung Cancer. - Seong-O Shim; Monagi H. Alkinani; Lal Hussain; Wajid Aziz (Big Data Res., 2022)

Automated breast cancer detection by reconstruction independent component analysis (RICA) based hybrid features using machine learning paradigms. - Lal Hussain; Shahzad Ahmad Qureshi; Amjad Aldweesh; Jawad ur Rehman Pirzada; Faisal Mehmood Butt; Elsayed Tag-Eldin; Mushtaq Ali; Abdulmohsen Algarni; Muhammad Amin Nadim (Connect. Sci., 2022)

Detecting brain tumors using deep learning convolutional neural network with transfer learning approach. - Sadia Anjum; Lal Hussain; Mushtaq Ali; Monagi H. Alkinani; Wajid Aziz; Sabrina Gheller; Adeel Ahmed Abbasi; Ali Raza Marchal; Harshini Suresh; Tim Q. Duong (Int. J. Imaging Syst. Technol., 2022)

Future Challenges of Particulate Matters (PMs) Monitoring by Computing Associations Among Extracted Multimodal Features Applying Bayesian Network Approach. - Amani Abdulrahman Albraikan; Jaber S. Alzahrani; Noha Negm; Lal Hussain; Mesfer Al Duhayyim; Manar Ahmed Hamza; Abdelwahed Motwakel; Ishfaq Yaseen (Appl. Artif. Intell., 2022)

Analysis of Proposed and Traditional Boosting Algorithm with Standalone Classification Methods for Classifying Gene Expresssion Microarray Data Using a Reject Option. - Adil Aslam Mir; Lal Hussain; Muhammad Hammad Waseem; Amjad Aldweesh; Saim Rasheed; El Sayed Yousef; Malik Sajjad Ahmed Nadeem; Elsayed Tag-Eldin (Appl. Artif. Intell., 2022)

Anomaly Detection for Cyber Internet of Things Attacks: A Systematic Review. - Laraib Sana; Muhammad Mohsin Nazir; Muddesar Iqbal; Lal Hussain; Amjad Ali 002 (Appl. Artif. Intell., 2022)

The Deep Learning ResNet101 and Ensemble XGBoost Algorithm with Hyperparameters Optimization Accurately Predict the Lung Cancer. - Saghir Ahmed; Basit Raza; Lal Hussain; Amjad Aldweesh; Abdulfattah Omar; Mohammad Shahbaz Khan; Elsayed Tag-Eldin; Muhammad Amin Nadim (Appl. Artif. Intell., 2023)

Securing the IoT Cyber Environment: Enhancing Intrusion Anomaly Detection With Vision Transformers. - Laraib Sana; Muhammad Mohsin Nazir; Jing Yang 054; Lal Hussain; Yen-Lin Chen; Chin Soon Ku; Mohammed Hamad Alatiyyah; Sulaiman Abdullah Alateyah; Lip Yee Por (IEEE Access, 2024)

EML-PSP: A novel ensemble machine learning-based physical security paradigm using cross-domain ultra-fused feature extraction with hybrid data augmentation scheme. - Shahzad Ahmad Qureshi; Lal Hussain; Muhammad Rafique; Huniya Sohail; Haroon Aman; Syed Rahat Abbas; Muhammad Abdul Basit; Muhammad Imran Khalid (Expert Syst. Appl., 2024)

Deep learning convolutional neural network ResNet101 and radiomic features accurately analyzes mpMRI imaging to predict MGMT promoter methylation status with transfer learning approach. - Seong-O Shim; Lal Hussain; Wajid Aziz; Abdulrahman A. Alshdadi; Abdulrahman Alzahrani; Abdulfattah Omar (Int. J. Imaging Syst. Technol., 2024)

Intelligent Bayesian Inference for Multiclass Lung Infection Diagnosis: Network Analysis of Ranked Gray Level Co-occurrence (GLCM) Features. - Raja Nadir Mahmood Khan; Abdul Majid; Seong-O Shim; Safa Habibullah; Abdulwahab Ali Almazroi; Lal Hussain (New Gener. Comput., 2024)

Urdu Lip Reading Systems for Digits in Controlled and Uncontrolled Environment. - Amanullah Baloch; Mushtaq Ali; Lal Hussain; Touseef Sadiq; Badr S. Alkahtani (IEEE Access, 2025)

Breast Cancer Detection Using Mammography: Image Processing to Deep Learning. - Shahzad Ahmad Qureshi; Aziz ul Rehman; Lal Hussain; Touseef Sadiq; Syed Taimoor Hussain Shah; Adil Aslam Mir; Muhammad Amin Nadim; Darnell K. Adrian Williams; Tim Q. Duong; Qurat-Ul-Ain Chaudhary; Natasha Habib; Asrar Ahmad; et al. (IEEE Access, 2025)

An Intelligent Smart Dynamic Feature Analysis Based Approach by Utilizing Deep Learning to Improve the Breast Cancer Detection. - Seong-O Shim; Lal Hussain; Eesa Alsolami; Monagi H. Alkinani (IEEE Access, 2025)