@article{hina2025adversarial,title={Adversarial attacks on artificial Intelligence of Things-based operational technologies in theme parks},author={Hina, Sadaf and Abbas, Qaiser and Ahmed, Kashan},journal={Internet of Things},pages={101654},year={2025},publisher={Elsevier},}
2023
Using data augmentation and bidirectional encoder representations from transformers for improving Punjabi named entity recognition
Hamza
Khalid, Ghulam
Murtaza, and Qaiser
Abbas
ACM Transactions on Asian and Low-Resource Language Information Processing, 2023
@article{khalid2023using,title={Using data augmentation and bidirectional encoder representations from transformers for improving Punjabi named entity recognition},author={Khalid, Hamza and Murtaza, Ghulam and Abbas, Qaiser},journal={ACM Transactions on Asian and Low-Resource Language Information Processing},volume={22},number={6},pages={1--13},year={2023},publisher={ACM New York, NY},}
Optimization of predictive performance of intrusion detection system using hybrid ensemble model for secure systems
Qaiser
Abbas, Sadaf
Hina, Hamza
Sajjad, and
2 more authors
@article{abbas2023optimization,title={Optimization of predictive performance of intrusion detection system using hybrid ensemble model for secure systems},author={Abbas, Qaiser and Hina, Sadaf and Sajjad, Hamza and Zaidi, Khurram Shabih and Akbar, Rehan},journal={PeerJ Computer Science},volume={9},pages={e1552},year={2023},publisher={PeerJ Inc.},}
2022
Detection and classification of malignant melanoma using deep features of NASNet
@article{abbas2022detection,title={Detection and classification of malignant melanoma using deep features of NASNet},author={Abbas, Qaiser and Gul, Anza},journal={SN Computer Science},volume={4},number={1},pages={21},year={2022},publisher={Springer},}
2021
Acral melanoma detection using dermoscopic images and convolutional neural networks
Qaiser
Abbas, Farheen
Ramzan, and Muhammad Usman
Ghani
Visual Computing for Industry, Biomedicine, and Art, 2021
@article{abbas2021acral,title={Acral melanoma detection using dermoscopic images and convolutional neural networks},author={Abbas, Qaiser and Ramzan, Farheen and Ghani, Muhammad Usman},journal={Visual Computing for Industry, Biomedicine, and Art},volume={4},pages={1--12},year={2021},publisher={Springer},}
2020
Detection and Prediction of Acral Lentiginous Melanoma in Dermoscopic Images using Deep Learning
@thesis{qaiser2020acral,author={Abbas, Qaiser},title={Detection and Prediction of Acral Lentiginous Melanoma in Dermoscopic Images using Deep Learning},year={2020},school={University of Engineering and Technology, Lahore},type={Master's thesis},}