Sadiq Hussain

According to our database, Sadiq Hussain authored at least 46 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Detecting Urdu COVID-19 misinformation using transfer learning.

Anbar Hussain, Awais Khan Nawabi, Mahmood Alam, Muhammad Shahid Iqbal, Sadiq Hussain

Soc. Netw. Anal. Min., December, 2024

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020).

Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya

Ann. Oper. Res., August, 2024

A Hybrid Deep Spatiotemporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals.

Niloufar Delfan, Mohammadreza Shahsavari, Sadiq Hussain, Robertas Damasevicius, U. Rajendra Acharya

Int. J. Imaging Syst. Technol., July, 2024

An adaptive ensemble deep learning framework for reliable detection of pandemic patients.

Muhammad Shahid Iqbal, Rizwan Ali Naqvi, Roohallah Alizadehsani, Sadiq Hussain, Syed Atif Moqurrab, Seung-Won Lee

Comput. Biol. Medicine, January, 2024

Automated detection and forecasting of COVID-19 using deep learning techniques: A review.

Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Delaram Sadeghi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Fahime Khozeimeh, Saeid Nahavandi, U. Rajendra Acharya, Juan Manuel Górriz

Neurocomputing, 2024

Design of TAM-based framework for credibility and trend analysis in sharing economy: Behavioral intention and user experience on Airbnb as an instance.

Yenjou Wang, Jason C. Hung, Chun-Hong Huang, Sadiq Hussain, Neil Y. Yen, Qun Jin

Comput. Sci. Inf. Syst., 2024

Progress and trends in neurological disorders research based on deep learning.

Muhammad Shahid Iqbal, Md Belal Bin Heyat, Saba Parveen, Mohd Ammar Bin Hayat, Mohamad Roshanzamir, Roohallah Alizadehsani, Faijan Akhtar, Eram Sayeed, Sadiq Hussain, Hany S. Hussein, Mohamad Sawan

Comput. Medical Imaging Graph., 2024

A review of Explainable Artificial Intelligence in healthcare.

Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos

Comput. Electr. Eng., 2024

Parameter Optimization Based Mud Ring Algorithm for Improving the Maternal Health Risk Prediction.

Abeer S. Desuky, Sadiq Hussain, Mehmet Akif Cifci, Lamiaa M. El Bakrawy, Olfa Mzoughi, Naoufel Kraiem

IEEE Access, 2024

Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey.

Roohallah Alizadehsani, Solomon Sunday Oyelere, Sadiq Hussain, Senthil Kumar Jagatheesaperumal, Rene Ripardo Calixto, Mohamed Rahouti, Mohamad Roshanzamir, Victor Hugo C. de Albuquerque

IEEE Access, 2024

2023

BERT-deep CNN: state of the art for sentiment analysis of COVID-19 tweets.

Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi, Rouhollah Bagheri, Fatemeh Fazl, Roohallah Alizadehsani, Reza Lashgari, Ashis Talukder

Soc. Netw. Anal. Min., December, 2023

Identification of Clinical Features Associated with Mortality in COVID-19 Patients.

Rahimeh Eskandarian, Roohallah Alizadehsani, Mohaddeseh Behjati, Mehrdad Zahmatkesh, Zahra Alizadeh Sani, Azadeh Haddadi, Kourosh Kakhi, Mohamad Roshanzamir, Afshin Shoeibi, Sadiq Hussain, Fahime Khozeimeh, Mohammad Tayarani Darbandy, Javad Hassannataj Joloudari, Reza Lashgari, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam

Oper. Res. Forum, March, 2023

UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection.

Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi

Inf. Fusion, 2023

Explainable Artificial Intelligence for Drug Discovery and Development - A Comprehensive Survey.

Roohallah Alizadehsani, Sadiq Hussain, Rene Ripardo Calixto, Victor Hugo C. de Albuquerque, Mohamad Roshanzamir, Mohamed Rahouti, Senthil Kumar Jagatheesaperumal

CoRR, 2023

A Hybrid Deep Spatio-Temporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals.

Niloufar Delfan, Mohammadreza Shahsavari, Sadiq Hussain, Robertas Damasevicius, U. Rajendra Acharya

CoRR, 2023

A Brief Review of Explainable Artificial Intelligence in Healthcare.

Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos

CoRR, 2023

Adaptive Blind Color Image Watermarking Approach using BRISK Features Based on Contour Transform and Convolutional Neural Network.

S. Prasanth Vaidya, Chandra Mouli P. V. S. S. R., Kandala N. V. P. S. Rajesh, Silvia Gaftandzhieva, Rositsa Doneva, Sadiq Hussain

Proceedings of the 24th International Conference on Computer Systems and Technologies, 2023

2022

BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets.

Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi, Rouhollah Bagheri, Fatemeh Fazl, Roohallah Alizadehsani, Reza Lashgari

CoRR, 2022

A Modified Ant Lion Optimization Method and Its Application for Instance Reduction Problem in Balanced and Imbalanced Data.

Lamiaa M. El Bakrawy, Mehmet Akif Cifci, Samina Kausar, Sadiq Hussain, Md. Akhtarul Islam, Bilal Alatas, Abeer S. Desuky

Axioms, 2022

Single-Point Crossover and Jellyfish Optimization for Handling Imbalanced Data Classification Problem.

Abeer S. Desuky, Yomna M. Elbarawy, Samina Kausar, Asmaa Hekal Omar, Sadiq Hussain

IEEE Access, 2022

Mud Ring Algorithm: A New Meta-Heuristic Optimization Algorithm for Solving Mathematical and Engineering Challenges.

Abeer S. Desuky, Mehmet Akif Cifci, Samina Kausar, Sadiq Hussain, Lamiaa M. El Bakrawy

IEEE Access, 2022

2021

Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data.

Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya

ACM Trans. Multim. Comput. Commun. Appl., 2021

A review of uncertainty quantification in deep learning: Techniques, applications and challenges.

Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi

Inf. Fusion, 2021

Regression analysis of student academic performance using deep learning.

Sadiq Hussain, Silvia Gaftandzhieva, Md. Maniruzzaman, Rositsa Doneva, Zahraa Fadhil Muhsin

Educ. Inf. Technol., 2021

UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection.

Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi

CoRR, 2021

CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients.

Fahime Khozeimeh, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Roohallah Alizadehsani, Juan Manuel Górriz, Sadiq Hussain, Zahra Alizadeh Sani, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam

CoRR, 2021

Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data.

Roohallah Alizadehsani, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya

CoRR, 2021

Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review.

Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, Navid Ghaasemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Assef Zare, Yinan Kong, Abbas Khosravi, Saeid Nahavandi, Sadiq Hussain, U. Rajendra Acharya, Michael Berk

Comput. Biol. Medicine, 2021

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images.

Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya

Biomed. Signal Process. Control., 2021

EAOA: An Enhanced Archimedes Optimization Algorithm for Feature Selection in Classification.

Abeer S. Desuky, Sadiq Hussain, Samina Kausar, Md. Akhtarul Islam, Lamiaa M. El Bakrawy

IEEE Access, 2021

2020

Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach.

Elham Nasarian, Moloud Abdar, Mohammad Amin Fahami, Roohallah Alizadehsani, Sadiq Hussain, Mohammad Ehsan Basiri, Mariam Zomorodi Moghadam, Xujuan Zhou, Pawel Plawiak, U. Rajendra Acharya, Ru San Tan, Nizal Sarrafzadegan

Pattern Recognit. Lett., 2020

Analyzing Student Performance in Programming Education Using Classification Techniques.

Kissinger Sunday, Patrick Ocheja, Sadiq Hussain, Solomon Sunday Oyelere, Balogun Oluwafemi Samson, Joseph Friday Agbo

Int. J. Emerg. Technol. Learn., 2020

Exploring Student Academic Performance Using Data Mining Tools.

Ranjit Paul, Silvia Gaftandzhieva, Samina Kausar, Sadiq Hussain, Rositsa Doneva, A. K. Baruah

Int. J. Emerg. Technol. Learn., 2020

Mining Smart Learning Analytics Data Using Ensemble Classifiers.

Samina Kausar, Solomon Sunday Oyelere, Yass Khudheir Salal, Sadiq Hussain, Mehmet Akif Cifci, Slavoljub Hilcenko, Muhammad Shahid Iqbal, Wenhao Zhu, Huahu Xu

Int. J. Emerg. Technol. Learn., 2020

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review.

Afshin Shoeibi, Marjane Khodatars, Roohallah Alizadehsani, Navid Ghassemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Delaram Sadeghi, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Javad Bazeli, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Peng Shi

CoRR, 2020

Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review.

Marjane Khodatars, Afshin Shoeibi, Navid Ghassemi, Mahboobeh Jafari, Ali Khadem, Delaram Sadeghi, Parisa Moridian, Sadiq Hussain, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Michael Berk

CoRR, 2020

Epileptic seizure detection using deep learning techniques: A Review.

Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Mahboobeh Jafari, Sadiq Hussain, Roohallah Alizadehsani, Parisa Moridian, Abbas Khosravi, Hossein Hosseini-Nejad, Modjtaba Rouhani, Assef Zare, Ali Khadem, Saeid Nahavandi, Amir F. Atiya, U. Rajendra Acharya

CoRR, 2020

Material Recognition for Automated Progress Monitoring using Deep Learning Methods.

Navid Ghassemi, Hadi Mahami, Mohammad Tayarani Darbandi, Afshin Shoeibi, Sadiq Hussain, Farnad Nasirzadeh, Roohallah Alizadehsani, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi

CoRR, 2020

2019

IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment.

Moloud Abdar, Vivi Nur Wijayaningrum, Sadiq Hussain, Roohallah Alizadehsani, Pawel Plawiak, U. Rajendra Acharya, Vladimir Makarenkov

J. Medical Syst., 2019

Prediction Model on Student Performance based on Internal Assessment using Deep Learning.

Sadiq Hussain, Zahraa Fadhil Muhsion, Yass Khudheir Salal, Paraskevi Theodorou, Fikriye Kurtoglu, G. C. Hazarika

Int. J. Emerg. Technol. Learn., 2019

Performance Improvement of Decision Trees for Diagnosis of Coronary Artery Disease Using Multi Filtering Approach.

Moloud Abdar, Elham Nasarian, Xujuan Zhou, Ghazal Bargshady, Vivi Nur Wijayaningrum, Sadiq Hussain

Proceedings of the IEEE 4th International Conference on Computer and Communication Systems, 2019

2018

Student Academics Performance.

Sadiq Hussain

Dataset, September, 2018

Mining Moodle Data to Detect the Inactive and Low-performance Students during the Moodle Course.

Mushtaq Hussain, Sadiq Hussain, Wu Zhang, Wenhao Zhu, Paraskevi Theodorou, Syed Muhammad Raza Abidi

Proceedings of the 2nd International Conference on Big Data Research, 2018

Classification, Clustering and Association Rule Mining in Educational Datasets Using Data Mining Tools: A Case Study.

Sadiq Hussain, Rasha Ragheb Atallah, Amirrudin Kamsin, Jiten Hazarika

Proceedings of the Cybernetics and Algorithms in Intelligent Systems, 2018

2014

Educational data mining using jmp.

Sadiq Hussain, G. C. Hazarika

CoRR, 2014

2007

Arabian Gulf Development Internet and Innovation Dynamics.

Sadiq Hussain, Zain Tahboob

Proceedings of the First Asia International Conference on Modelling and Simulation, 2007