TN
Tahira Nazir
Riphah International University
Research areas: Computer Science · Computer Vision and Pattern Recognition · Advanced Neural Network Applications · Medical Image Segmentation Techniques · AI in cancer detection
Employment
-
Riphah International University Assistant Professor2022 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (51)
- PestRefineDet: integrating DenseNet with RefineDet for precision pest detection in agriculture Save
- Development and cross-cultural validation of the cybersecurity resilience scale (CSRS) Save
- A Lightweight YOLOv11 Framework for Multi-Class Retinal Disease Classification Save
- Attention-guided CenterNet deep learning approach for lung cancer detection Save
- A novelty towards neural signatures − Unveiling the inter-subject distance metric for EEG-based motor imagery Save
- EDet-BTR: EfficientDet-based brain tumor recognition from the magnetic resonance imaging Save
- Opinion mining for stock trend prediction using deep learning Save
- COVID-ECG-RSNet: COVID-19 classification from ECG images using swish-based improved ResNet model Save
- CoffeeNet: A deep learning approach for coffee plant leaves diseases recognition Save
- An efficient Incremental Wrapper-based Information Gain Gene Subset Selection (IG based on IWSSr) method for Tumor Discernment Save
- An improved DenseNet model for prediction of stock market using stock technical indicators Save
- ResNet-Swish-Dense54: a deep learning approach for deepfakes detection Save
- An improved deep learning approach for localization and recognition of plant leaf diseases Save
- FRD-LSTM: a novel technique for fake reviews detection using DCWR with the Bi-LSTM method Save
- Classification of Real and Deepfakes Visual Samples with Pre-trained Deep Learning Models Save
- MaizeNet: A Deep Learning Approach for Effective Recognition of Maize Plant Leaf Diseases Save
- Plant Disease Classification Using VGG-19 Based Faster-RCNN Save
- A Machine Learning Method for Prediction of Stock Market Using Real-Time Twitter Data Save
- MSeg-Net: A Melanoma Mole Segmentation Network Using CornerNet and Fuzzy K -Means Clustering Save
- A robust framework to generate surveillance video summaries using combination of zernike moments and r-transform and deep neural network Save