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Saima Sadiq
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2020 – today
- 2023
- [j22]Saima Sadiq, Turki Aljrees, Saleem Ullah:
Deepfake Detection on Social Media: Leveraging Deep Learning and FastText Embeddings for Identifying Machine-Generated Tweets. IEEE Access 11: 95008-95021 (2023) - [j21]Lucia Cascone, Saima Sadiq, Saleem Ullah, Seyedali Mirjalili, Hafeez Ur Rehman Siddiqui, Muhammad Umer:
Predicting Household Electric Power Consumption Using Multi-step Time Series with Convolutional LSTM. Big Data Res. 31: 100360 (2023) - [j20]Muhammad Umer, Saima Sadiq, Reemah M. Alhebshi, Shtwai Alsubai, Abdullah Al Hejaili, Alá Abdulmajid Eshmawi, Michele Nappi, Imran Ashraf:
Face mask detection using deep convolutional neural network and multi-stage image processing. Image Vis. Comput. 133: 104657 (2023) - [j19]Naila Aslam, Ohoud Alzamzami, Kewen Xia, Saima Sadiq, Muhammad Umer, Carmen Bisogni, Imran Ashraf:
Improving the review classification of Google apps using combined feature embedding and deep convolutional neural network model. J. Ambient Intell. Humaniz. Comput. 14(4): 4257-4272 (2023) - [j18]Shoaib Ahmed, Dost Muhammad Khan, Saima Sadiq, Muhammad Umer, Faisal Shahzad, Khalid Mahmood, Heba Mohsen, Imran Ashraf:
Temporal analysis and opinion dynamics of COVID-19 vaccination tweets using diverse feature engineering techniques. PeerJ Comput. Sci. 9: e1190 (2023) - [j17]Muhammad Umer, Saima Sadiq, Reemah M. Alhebshi, Maha Farouk Sabir, Shtwai Alsubai, Abdullah Al Hejaili, Mashael M. Khayyat, Alá Abdulmajid Eshmawi, Abdullah Mohamed:
IoT based smart home automation using blockchain and deep learning models. PeerJ Comput. Sci. 9: e1332 (2023) - 2022
- [j16]Manideep Narra, Muhammad Umer, Saima Sadiq, Alá Abdulmajid Eshmawi, Hanen Karamti, Abdullah Mohamed, Imran Ashraf:
Selective Feature Sets Based Fake News Detection for COVID-19 to Manage Infodemic. IEEE Access 10: 98724-98736 (2022) - [j15]Muhammad Ahmad, Saima Sadiq, Alá Abdulmajid Eshmawi, Ala Saleh D. Alluhaidan, Muhammad Umer, Saleem Ullah, Michele Nappi:
Industry 4.0 technologies and their applications in fighting COVID-19 pandemic using deep learning techniques. Comput. Biol. Medicine 145: 105418 (2022) - [j14]Muhammad Umer, Saima Sadiq, Hanen Karamti, Alá Abdulmajid Eshmawi, Michele Nappi, Muhammad Usman Sana, Imran Ashraf:
ETCNN: Extra Tree and Convolutional Neural Network-based Ensemble Model for COVID-19 Tweets Sentiment Classification. Pattern Recognit. Lett. 164: 224-231 (2022) - [j13]Muhammad Umer, Saima Sadiq, Hanen Karamti, Walid Karamti, Rizwan Majeed, Michele Nappi:
IoT Based Smart Monitoring of Patients' with Acute Heart Failure. Sensors 22(7): 2431 (2022) - [j12]Samina Sarwat, Naeem Ullah, Saima Sadiq, Robina Saleem, Muhammad Umer, Alá Abdulmajid Eshmawi, Abdullah Mohamed, Imran Ashraf:
Predicting Students' Academic Performance with Conditional Generative Adversarial Network and Deep SVM. Sensors 22(13): 4834 (2022) - 2021
- [j11]Anam Yousaf, Muhammad Umer, Saima Sadiq, Saleem Ullah, Seyedali Mirjalili, Vaibhav Rupapara, Michele Nappi:
Emotion Recognition by Textual Tweets Classification Using Voting Classifier (LR-SGD). IEEE Access 9: 6286-6295 (2021) - [j10]Abid Ishaq, Saima Sadiq, Muhammad Umer, Saleem Ullah, Seyedali Mirjalili, Vaibhav Rupapara, Michele Nappi:
Improving the Prediction of Heart Failure Patients' Survival Using SMOTE and Effective Data Mining Techniques. IEEE Access 9: 39707-39716 (2021) - [j9]Saima Sadiq, Muhammad Usman Khalid, Mui-Zzud-Din, Saleem Ullah, Waqar Aslam, Arif Mehmood, Gyu Sang Choi, Byung-Won On:
Classification of β-Thalassemia Carriers From Red Blood Cell Indices Using Ensemble Classifier. IEEE Access 9: 45528-45538 (2021) - [j8]Saima Sadiq, Muhammad Usman Khalid, Mui-Zzud-Din, Saleem Ullah, Waqar Aslam, Arif Mehmood, Gyu Sang Choi, Byung-Won On:
Correction to "Classification of β-Thalassemia Carriers From Red Blood Cell Indices Using Ensemble Classifier". IEEE Access 9: 55311 (2021) - [j7]Mubariz Manzoor, Muhammad Umer, Saima Sadiq, Abid Ishaq, Saleem Ullah, Hamza Ahmad Madni, Carmen Bisogni:
RFCNN: Traffic Accident Severity Prediction Based on Decision Level Fusion of Machine and Deep Learning Model. IEEE Access 9: 128359-128371 (2021) - [j6]Saima Sadiq, Muhammad Umer, Saleem Ullah, Seyedali Mirjalili, Vaibhav Rupapara, Michele Nappi:
Discrepancy detection between actual user reviews and numeric ratings of Google App store using deep learning. Expert Syst. Appl. 181: 115111 (2021) - [j5]Saima Sadiq, Arif Mehmood, Saleem Ullah, Maqsood Ahmad, Gyu Sang Choi, Byung-Won On:
Aggression detection through deep neural model on Twitter. Future Gener. Comput. Syst. 114: 120-129 (2021) - [j4]Aniello Castiglione, Muhammad Umer, Saima Sadiq, Mohammad S. Obaidat, Pandi Vijayakumar:
The Role of Internet of Things to Control the Outbreak of COVID-19 Pandemic. IEEE Internet Things J. 8(21): 16072-16082 (2021) - [j3]Muhammad Umer, Saima Sadiq, Malik Muhammad Saad Missen, Zahid Hameed, Zahid Aslam, Muhammad Abubakar Siddique, Michele Nappi:
Scientific papers citation analysis using textual features and SMOTE resampling techniques. Pattern Recognit. Lett. 150: 250-257 (2021) - [j2]Aniello Castiglione, Pandi Vijayakumar, Michele Nappi, Saima Sadiq, Muhammad Umer:
COVID-19: Automatic Detection of the Novel Coronavirus Disease From CT Images Using an Optimized Convolutional Neural Network. IEEE Trans. Ind. Informatics 17(9): 6480-6488 (2021) - 2020
- [j1]Muhammad Umer, Saima Sadiq, Muhammad Ahmad, Saleem Ullah, Gyu Sang Choi, Arif Mehmood:
A Novel Stacked CNN for Malarial Parasite Detection in Thin Blood Smear Images. IEEE Access 8: 93782-93792 (2020) - [i1]Muhammad Umer, Saima Sadiq, Abid Ishaq, Saleem Ullah, Najia Saher, Hamza Ahmad Madni:
Comparison Analysis of Tree Based and Ensembled Regression Algorithms for Traffic Accident Severity Prediction. CoRR abs/2010.14921 (2020)
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