Scene Recognition of Surveillance Data using Deep Features and Supervised Classifiers. - Saira Jabeen; Summra Saleem; Abdulrehman Azam; Muhammad Usman Ghani Khan (ICACS, 2019)

Stateful human-centered visual captioning system to aid video surveillance. - Summra Saleem; Aniqa Dilawari; Muhammad Usman Ghani Khan; Razi Iqbal; Shaohua Wan 001; Tariq Umer (Comput. Electr. Eng., 2019)

Spoofed Voice Detection using Dense Features of STFT and MDCT Spectrograms. - Summra Saleem; Aniqa Dilawari; Usman Ghani Khan 001 (ICAI, 2021)

Supervised Neural Network for Offline Forgery Detection of Handwritten Signature. - Summra Saleem; Muhammad Usman Ghani 001; Aslam Muhammad 001; Ana María Martínez Enríquez (CCE, 2021)

Scene Recognition by Joint Learning of DNN from Bag of Visual Words and Convolutional DCT Features. - Abdul Rehman; Summra Saleem; Muhammad Usman Ghani 001; Saira Jabeen; M. Omair Shafiq (Appl. Artif. Intell., 2021)

Neural Attention Model for Abstractive Text Summarization Using Linguistic Feature Space. - Aniqa Dilawari; Muhammad Usman Ghani Khan; Summra Saleem; Zahoor-Ur Rehman; Fatema Sabeen Shaikh (IEEE Access, 2023)

FNReq-Net: A hybrid computational framework for functional and non-functional requirements classification. - Summra Saleem; Muhammad Nabeel Asim; Ludger van Elst; Andreas Dengel 001 (J. King Saud Univ. Comput. Inf. Sci., 2023)

RPRP-SAP: A Robust and Precise ResNet Predictor for Steering Angle Prediction of Autonomous Vehicles. - Summra Saleem; Muhammad Nabeel Asim; Ludger van Elst; Peter Schichtel; Andreas Dengel 001 (IEEE Access, 2024)

Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitations. - Summra Saleem; Muhammad Nabeel Asim; Ludger van Elst; Andreas Dengel 001 (CoRR, 2024)

MLR-predictor: a versatile and efficient computational framework for multi-label requirements classification. - Summra Saleem; Muhammad Nabeel Asim; Ludger van Elst; Markus Junker 002; Andreas Dengel 001 (Frontiers Artif. Intell., 2024)

PassionNet: An innovative framework for duplicate and conflicting requirements identification. - Summra Saleem; Muhammad Nabeel Asim; Andreas Dengel 001 (Expert Syst. Appl., 2025)

Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines. - Faiza Hassan; Summra Saleem; Kashif Javed; Muhammad Nabeel Asim; Abdur Rehman; Andreas Dengel 001 (CoRR, 2025)

The Evolution of Natural Language Processing: How Prompt Optimization and Language Models are Shaping the Future. - Summra Saleem; Muhammad Nabeel Asim; Shaista Zulfiqar; Andreas Dengel 001 (CoRR, 2025)