A Novel Stacked CNN for Malarial Parasite Detection in Thin Blood Smear Images. - Muhammad Umer; Saima Sadiq; Muhammad Ahmad; Saleem Ullah; Gyu Sang Choi; Arif Mehmood (IEEE Access, 2020)

Comparison Analysis of Tree Based and Ensembled Regression Algorithms for Traffic Accident Severity Prediction. - Muhammad Umer; Saima Sadiq; Abid Ishaq; Saleem Ullah; Najia Saher; Hamza Ahmad Madni (CoRR, 2020)

Improving the Prediction of Heart Failure Patients' Survival Using SMOTE and Effective Data Mining Techniques. - Abid Ishaq; Saima Sadiq; Muhammad Umer; Saleem Ullah; Seyedali Mirjalili; Vaibhav Rupapara; Michele Nappi (IEEE Access, 2021)

RFCNN: Traffic Accident Severity Prediction Based on Decision Level Fusion of Machine and Deep Learning Model. - Mubariz Manzoor; Muhammad Umer; Saima Sadiq; Abid Ishaq; Saleem Ullah; Hamza Ahmad Madni; Carmen Bisogni (IEEE Access, 2021)

Classification of β-Thalassemia Carriers From Red Blood Cell Indices Using Ensemble Classifier. - Saima Sadiq; Muhammad Usman Khalid; Mui-Zzud-Din; Saleem Ullah; Waqar Aslam; Arif Mehmood; Gyu Sang Choi; Byung-Won On (IEEE Access, 2021)

Correction to "Classification of β-Thalassemia Carriers From Red Blood Cell Indices Using Ensemble Classifier". - Saima Sadiq; Muhammad Usman Khalid; Mui-Zzud-Din; Saleem Ullah; Waqar Aslam; Arif Mehmood; Gyu Sang Choi; Byung-Won On (IEEE Access, 2021)

Emotion Recognition by Textual Tweets Classification Using Voting Classifier (LR-SGD). - Anam Yousaf; Muhammad Umer; Saima Sadiq; Saleem Ullah; Seyedali Mirjalili; Vaibhav Rupapara; Michele Nappi (IEEE Access, 2021)

Discrepancy detection between actual user reviews and numeric ratings of Google App store using deep learning. - Saima Sadiq; Muhammad Umer; Saleem Ullah; Seyedali Mirjalili; Vaibhav Rupapara; Michele Nappi (Expert Syst. Appl., 2021)

Aggression detection through deep neural model on Twitter. - Saima Sadiq; Arif Mehmood; Saleem Ullah; Maqsood Ahmad 004; Gyu Sang Choi; Byung-Won On (Future Gener. Comput. Syst., 2021)

The Role of Internet of Things to Control the Outbreak of COVID-19 Pandemic. - Aniello Castiglione; Muhammad Umer; Saima Sadiq; Mohammad S. Obaidat; Pandi Vijayakumar (IEEE Internet Things J., 2021)

Scientific papers citation analysis using textual features and SMOTE resampling techniques. - Muhammad Umer; Saima Sadiq; Malik Muhammad Saad Missen; Zahid Hameed; Zahid Aslam; Muhammad Abubakar Siddique; Michele Nappi (Pattern Recognit. Lett., 2021)

COVID-19: Automatic Detection of the Novel Coronavirus Disease From CT Images Using an Optimized Convolutional Neural Network. - Aniello Castiglione; Pandi Vijayakumar; Michele Nappi; Saima Sadiq; Muhammad Umer (IEEE Trans. Ind. Informatics, 2021)

Selective Feature Sets Based Fake News Detection for COVID-19 to Manage Infodemic. - Manideep Narra; Muhammad Umer; Saima Sadiq; Alá Abdulmajid Eshmawi; Hanen Karamti; Abdullah Mohamed; Imran Ashraf (IEEE Access, 2022)

Industry 4.0 technologies and their applications in fighting COVID-19 pandemic using deep learning techniques. - Muhammad Ahmad; Saima Sadiq; Alá Abdulmajid Eshmawi; Ala Saleh D. Alluhaidan; Muhammad Umer; Saleem Ullah; Michele Nappi (Comput. Biol. Medicine, 2022)

ETCNN: Extra Tree and Convolutional Neural Network-based Ensemble Model for COVID-19 Tweets Sentiment Classification. - Muhammad Umer; Saima Sadiq; Hanen Karamti; Alá Abdulmajid Eshmawi; Michele Nappi; Muhammad Usman Sana; Imran Ashraf (Pattern Recognit. Lett., 2022)

Predicting Students' Academic Performance with Conditional Generative Adversarial Network and Deep SVM. - Samina Sarwat; Naeem Ullah; Saima Sadiq; Robina Saleem; Muhammad Umer; Alá Abdulmajid Eshmawi; Abdullah Mohamed; Imran Ashraf (Sensors, 2022)

IoT Based Smart Monitoring of Patients' with Acute Heart Failure. - Muhammad Umer; Saima Sadiq; Hanen Karamti; Walid Karamti; Rizwan Majeed; Michele Nappi (Sensors, 2022)

Deepfake Detection on Social Media: Leveraging Deep Learning and FastText Embeddings for Identifying Machine-Generated Tweets. - Saima Sadiq; Turki Aljrees; Saleem Ullah (IEEE Access, 2023)

Improving the review classification of Google apps using combined feature embedding and deep convolutional neural network model. - Naila Aslam; Ohoud Alzamzami; Kewen Xia; Saima Sadiq; Muhammad Umer; Carmen Bisogni; Imran Ashraf (J. Ambient Intell. Humaniz. Comput., 2023)

Temporal analysis and opinion dynamics of COVID-19 vaccination tweets using diverse feature engineering techniques. - Shoaib Ahmed; Dost Muhammad Khan; Saima Sadiq; Muhammad Umer; Faisal Shahzad; Khalid Mahmood 002; Heba Mohsen; Imran Ashraf (PeerJ Comput. Sci., 2023)

IoT based smart home automation using blockchain and deep learning models. - Muhammad Umer; Saima Sadiq; Reemah M. Alhebshi; Maha Farouk Sabir; Shtwai Alsubai; Abdullah Al Hejaili; Mashael M. Khayyat; Alá Abdulmajid Eshmawi; Abdullah Mohamed (PeerJ Comput. Sci., 2023)

Predicting Household Electric Power Consumption Using Multi-step Time Series with Convolutional LSTM. - Lucia Cascone; Saima Sadiq; Saleem Ullah; Seyedali Mirjalili; Hafeez Ur Rehman Siddiqui; Muhammad Umer (Big Data Res., 2023)

Face mask detection using deep convolutional neural network and multi-stage image processing. - Muhammad Umer; Saima Sadiq; Reemah M. Alhebshi; Shtwai Alsubai; Abdullah Al Hejaili; Alá Abdulmajid Eshmawi; Michele Nappi; Imran Ashraf (Image Vis. Comput., 2023)

Malicious SMS detection using ensemble learning and SMOTE to improve mobile cybersecurity. - Hongsheng Xu; Akeel Qadir; Saima Sadiq (Comput. Secur., 2025)