Saima Sadiq
Orcid: 0000-0002-2611-3738
According to our database1,
Saima Sadiq
authored at least 23 papers
between 2020 and 2023.
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Bibliography
2023
Face mask detection using deep convolutional neural network and multi-stage image processing.
Image Vis. Comput., May, 2023
Predicting Household Electric Power Consumption Using Multi-step Time Series with Convolutional LSTM.
Big Data Res., February, 2023
PeerJ Comput. Sci., 2023
Temporal analysis and opinion dynamics of COVID-19 vaccination tweets using diverse feature engineering techniques.
PeerJ Comput. Sci., 2023
Improving the review classification of Google apps using combined feature embedding and deep convolutional neural network model.
J. Ambient Intell. Humaniz. Comput., 2023
Deepfake Detection on Social Media: Leveraging Deep Learning and FastText Embeddings for Identifying Machine-Generated Tweets.
IEEE Access, 2023
2022
Predicting Students' Academic Performance with Conditional Generative Adversarial Network and Deep SVM.
Sensors, 2022
ETCNN: Extra Tree and Convolutional Neural Network-based Ensemble Model for COVID-19 Tweets Sentiment Classification.
Pattern Recognit. Lett., 2022
Industry 4.0 technologies and their applications in fighting COVID-19 pandemic using deep learning techniques.
Comput. Biol. Medicine, 2022
IEEE Access, 2022
2021
COVID-19: Automatic Detection of the Novel Coronavirus Disease From CT Images Using an Optimized Convolutional Neural Network.
IEEE Trans. Ind. Informatics, 2021
Scientific papers citation analysis using textual features and SMOTE resampling techniques.
Pattern Recognit. Lett., 2021
IEEE Internet Things J., 2021
Future Gener. Comput. Syst., 2021
Discrepancy detection between actual user reviews and numeric ratings of Google App store using deep learning.
Expert Syst. Appl., 2021
Emotion Recognition by Textual Tweets Classification Using Voting Classifier (LR-SGD).
IEEE Access, 2021
Correction to "Classification of β-Thalassemia Carriers From Red Blood Cell Indices Using Ensemble Classifier".
IEEE Access, 2021
Classification of β-Thalassemia Carriers From Red Blood Cell Indices Using Ensemble Classifier.
IEEE Access, 2021
RFCNN: Traffic Accident Severity Prediction Based on Decision Level Fusion of Machine and Deep Learning Model.
IEEE Access, 2021
Improving the Prediction of Heart Failure Patients' Survival Using SMOTE and Effective Data Mining Techniques.
IEEE Access, 2021
2020
Comparison Analysis of Tree Based and Ensembled Regression Algorithms for Traffic Accident Severity Prediction.
CoRR, 2020
IEEE Access, 2020