Sadiq Hussain - RankMe

54 papers Journal 49Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Educational data mining: a 10-year review. Discov. Comput. Emi Kalita, Solomon Sunday Oyelere, Silvia Gaftandzhieva, Kandala N. V. P. S. Rajesh, Senthil Kumar Jagatheesaperumal, Asmaa Mohamed, Yomna M. Elbarawy, Abeer S. Desuky, Sadiq Hussain, Mehmet Akif Cifci, Paraskevi Theodorou, Slavoljub Hilcenko, Jiten Hazarika, Nazar T. Ali
2025	J	`jnl`	LSTM-SHAP based academic performance prediction for disabled learners in virtual learning environments: a statistical analysis approach. Soc. Netw. Anal. Min. Emi Kalita, Houssam El Aouifi, Ashima Kukkar, Sadiq Hussain, Nazar T. Ali, Silvia Gaftandzhieva
2025	J	`jnl`	Modeling and analysis of response time in vehicular networks using Markov chains. Frontiers Commun. Networks Masood Kalamati, Hasan Raei, Bulbula Kumeda Kussia, Sadiq Hussain, Emrah Arslan, Javad Hassannataj Joloudari, Silvia Gaftandzhieva
2025	J	`jnl`	Optical-Flow Based Symmetric Feature Extraction for Facial Expression Recognition. Inf. Technol. Control. Mohammad Ali Zeraatkar, Javad Hassannataj Joloudari, Kandala N. V. P. S. Rajesh, Silvia Gaftandzhieva, Sadiq Hussain
2024	J	`jnl`	A Hybrid Deep Spatiotemporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals. Int. J. Imaging Syst. Technol. Niloufar Delfan, Mohammadreza Shahsavari, Sadiq Hussain, Robertas Damasevicius, U. Rajendra Acharya
2024	J	`jnl`	A review of Explainable Artificial Intelligence in healthcare. Comput. Electr. Eng. 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
2024	J	`jnl`	An adaptive ensemble deep learning framework for reliable detection of pandemic patients. Comput. Biol. Medicine Muhammad Shahid Iqbal, Rizwan Ali Naqvi, Roohallah Alizadehsani, Sadiq Hussain, Syed Atif Moqurrab, Seung-Won Lee
2024	J	`jnl`	Automated detection and forecasting of COVID-19 using deep learning techniques: A review. Neurocomputing 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
2024	J	`jnl`	Deep Transfer Learning Techniques in Intrusion Detection System-Internet of Vehicles: A State-of-the-Art Review. Comput. Mater. Continua Wufei Wu, Javad Hassannataj Joloudari, Senthil Kumar Jagatheesaperumal, Kandala N. V. P. S. Rajesh, Silvia Gaftandzhieva, Sadiq Hussain, Rahimullah Rabih, Najibullah Haqjoo, Mobeen Nazar, Hamed Vahdat-Nejad, Rositsa Doneva
2024	J	`jnl`	Deep learning for personalized health monitoring and prediction: A review. Comput. Intell. Robertas Damasevicius, Senthil Kumar Jagatheesaperumal, Rajesh N. V. P. S. Kandala, Sadiq Hussain, Roohallah Alizadehsani, Juan Manuel Górriz
2024	J	`jnl`	Design of TAM-based framework for credibility and trend analysis in sharing economy: Behavioral intention and user experience on Airbnb as an instance. Comput. Sci. Inf. Syst. Yenjou Wang, Jason C. Hung, Chun-Hong Huang, Sadiq Hussain, Neil Y. Yen, Qun Jin
2024	J	`jnl`	Detecting Urdu COVID-19 misinformation using transfer learning. Soc. Netw. Anal. Min. Anbar Hussain, Awais Khan Nawabi, Mahmood Alam, Muhammad Shahid Iqbal, Sadiq Hussain
2024	J	`jnl`	Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey. IEEE Access Roohallah Alizadehsani, Solomon Sunday Oyelere, Sadiq Hussain, Senthil Kumar Jagatheesaperumal, Rene Ripardo Calixto, Mohamed Rahouti, Mohamad Roshanzamir, Victor Hugo C. de Albuquerque
2024	J	`jnl`	Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020). Ann. Oper. Res. 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
2024	J	`jnl`	Parameter Optimization Based Mud Ring Algorithm for Improving the Maternal Health Risk Prediction. IEEE Access Abeer S. Desuky, Sadiq Hussain, Mehmet Akif Cifci, Lamiaa M. El Bakrawy, Olfa Mzoughi, Naoufel Kraiem
2024	J	`jnl`	Progress and trends in neurological disorders research based on deep learning. Comput. Medical Imaging Graph. 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
2023	J	`jnl`	A Brief Review of Explainable Artificial Intelligence in Healthcare. CoRR 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
2023	J	`jnl`	A Hybrid Deep Spatio-Temporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals. CoRR Niloufar Delfan, Mohammadreza Shahsavari, Sadiq Hussain, Robertas Damasevicius, U. Rajendra Acharya
2023	—	`conf`	Adaptive Blind Color Image Watermarking Approach using BRISK Features Based on Contour Transform and Convolutional Neural Network. CompSysTech S. Prasanth Vaidya, Chandra Mouli P. V. S. S. R., Kandala N. V. P. S. Rajesh, Silvia Gaftandzhieva, Rositsa Doneva, Sadiq Hussain
2023	J	`jnl`	BERT-deep CNN: state of the art for sentiment analysis of COVID-19 tweets. Soc. Netw. Anal. Min. Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi, Rouhollah Bagheri, Fatemeh Fazl, Roohallah Alizadehsani, Reza Lashgari, Ashis Talukder
2023	J	`jnl`	Explainable Artificial Intelligence for Drug Discovery and Development - A Comprehensive Survey. CoRR Roohallah Alizadehsani, Sadiq Hussain, Rene Ripardo Calixto, Victor Hugo C. de Albuquerque, Mohamad Roshanzamir, Mohamed Rahouti, Senthil Kumar Jagatheesaperumal
2023	J	`jnl`	Identification of Clinical Features Associated with Mortality in COVID-19 Patients. Oper. Res. Forum 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
2023	J	`jnl`	UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection. Inf. Fusion Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
2022	J	`jnl`	A Modified Ant Lion Optimization Method and Its Application for Instance Reduction Problem in Balanced and Imbalanced Data. Axioms Lamiaa M. El Bakrawy, Mehmet Akif Cifci, Samina Kausar, Sadiq Hussain, Md. Akhtarul Islam, Bilal Alatas, Abeer S. Desuky
2022	J	`jnl`	BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets. CoRR Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi, Rouhollah Bagheri, Fatemeh Fazl, Roohallah Alizadehsani, Reza Lashgari
2022	J	`jnl`	Mud Ring Algorithm: A New Meta-Heuristic Optimization Algorithm for Solving Mathematical and Engineering Challenges. IEEE Access Abeer S. Desuky, Mehmet Akif Cifci, Samina Kausar, Sadiq Hussain, Lamiaa M. El Bakrawy
2022	J	`jnl`	Single-Point Crossover and Jellyfish Optimization for Handling Imbalanced Data Classification Problem. IEEE Access Abeer S. Desuky, Yomna M. Elbarawy, Samina Kausar, Asmaa Hekal Omar, Sadiq Hussain
2021	J	`jnl`	A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Inf. Fusion 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
2021	J	`jnl`	CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients. CoRR 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
2021	J	`jnl`	Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review. Comput. Biol. Medicine 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
2021	J	`jnl`	EAOA: An Enhanced Archimedes Optimization Algorithm for Feature Selection in Classification. IEEE Access Abeer S. Desuky, Sadiq Hussain, Samina Kausar, Md. Akhtarul Islam, Lamiaa M. El Bakrawy
2021	J	`jnl`	Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. Biomed. Signal Process. Control. 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
2021	J	`jnl`	Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images. CoRR 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
2021	J	`jnl`	Regression analysis of student academic performance using deep learning. Educ. Inf. Technol. Sadiq Hussain, Silvia Gaftandzhieva, Md. Maniruzzaman, Rositsa Doneva, Zahraa Fadhil Muhsin
2021	J	`jnl`	Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data. ACM Trans. Multim. Comput. Commun. Appl. 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
2021	J	`jnl`	Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data. CoRR 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
2021	J	`jnl`	UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection. CoRR Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi
2020	J	`jnl`	A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges. CoRR 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
2020	J	`jnl`	Analyzing Student Performance in Programming Education Using Classification Techniques. Int. J. Emerg. Technol. Learn. Kissinger Sunday, Patrick Ocheja, Sadiq Hussain, Solomon Sunday Oyelere, Balogun Oluwafemi Samson, Joseph Friday Agbo
2020	J	`jnl`	Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach. Pattern Recognit. Lett. 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
2020	J	`jnl`	Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review. CoRR 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
2020	J	`jnl`	Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review. CoRR 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
2020	J	`jnl`	Epileptic seizure detection using deep learning techniques: A Review. CoRR 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
2020	J	`jnl`	Exploring Student Academic Performance Using Data Mining Tools. Int. J. Emerg. Technol. Learn. Ranjit Paul, Silvia Gaftandzhieva, Samina Kausar, Sadiq Hussain, Rositsa Doneva, A. K. Baruah
2020	J	`jnl`	Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020). CoRR 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
2020	J	`jnl`	Material Recognition for Automated Progress Monitoring using Deep Learning Methods. CoRR Navid Ghassemi, Hadi Mahami, Mohammad Tayarani Darbandi, Afshin Shoeibi, Sadiq Hussain, Farnad Nasirzadeh, Roohallah Alizadehsani, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi
2020	J	`jnl`	Mining Smart Learning Analytics Data Using Ensemble Classifiers. Int. J. Emerg. Technol. Learn. Samina Kausar, Solomon Sunday Oyelere, Yass Khudheir Salal, Sadiq Hussain, Mehmet Akif Cifci, Slavoljub Hilcenko, Muhammad Shahid Iqbal, Wenhao Zhu, Huahu Xu
2019	J	`jnl`	IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment. J. Medical Syst. Moloud Abdar, Vivi Nur Wijayaningrum, Sadiq Hussain, Roohallah Alizadehsani, Pawel Plawiak, U. Rajendra Acharya, Vladimir Makarenkov
2019	—	`conf`	Performance Improvement of Decision Trees for Diagnosis of Coronary Artery Disease Using Multi Filtering Approach. ICCCS Moloud Abdar, Elham Nasarian, Xujuan Zhou, Ghazal Bargshady, Vivi Nur Wijayaningrum, Sadiq Hussain
2019	J	`jnl`	Prediction Model on Student Performance based on Internal Assessment using Deep Learning. Int. J. Emerg. Technol. Learn. Sadiq Hussain, Zahraa Fadhil Muhsion, Yass Khudheir Salal, Paraskevi Theodorou, Fikriye Kurtoglu, G. C. Hazarika
2018	—	`conf`	Classification, Clustering and Association Rule Mining in Educational Datasets Using Data Mining Tools: A Case Study. CSOC (3) Sadiq Hussain, Rasha Ragheb Atallah, Amirrudin Kamsin, Jiten Hazarika
2018	—	`conf`	Mining Moodle Data to Detect the Inactive and Low-performance Students during the Moodle Course. ICBDR Mushtaq Hussain, Sadiq Hussain, Wu Zhang, Wenhao Zhu, Paraskevi Theodorou, Syed Muhammad Raza Abidi
2014	J	`jnl`	Educational data mining using jmp. CoRR Sadiq Hussain, G. C. Hazarika
2007	—	`conf`	Arabian Gulf Development Internet and Innovation Dynamics. Asia International Conference on Modelling and Simulation Sadiq Hussain, Zain Tahboob