Lal Hussain

According to our database, Lal Hussain authored at least 20 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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., December, 2023

2022

Anomaly Detection for Cyber Internet of Things Attacks: A Systematic Review.

Laraib Sana, Muhammad Mohsin Nazir, Muddesar Iqbal, Lal Hussain, Amjad Ali

Appl. Artif. Intell., December, 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., December, 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., December, 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

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

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

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

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

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

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

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

2021

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

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

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

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2019

Applying Bayesian Network Approach to Determine the Association Between Morphological Features Extracted from Prostate Cancer Images.

Lal Hussain, Amjad Ali, Saima Rathore, Sharjil Saeed, Adnan Idris, Muhammad Usama Usman, Muhammad Aksam Iftikhar, Doug Young Suh

IEEE Access, 2019

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

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

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

Automated Breast Cancer Detection Using Machine Learning Techniques by Extracting Different Feature Extracting Strategies.

Lal Hussain, Wajid Aziz, Sharjil Saeed, Saima Rathore, Muhammad Rafique

Proceedings of the 17th IEEE International Conference On Trust, 2018