Sara Tehsin

According to our database, Sara Tehsin authored at least 9 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

FLTrans-Net: Transformer-based feature learning network for wheat head detection.

Samia Nawaz Yousafzai, Inzamam Mashood Nasir, Sara Tehsin, Norma Latif Fitriyani, Muhammad Syafrudin

Comput. Electron. Agric., 2025

Multi-Stage Neural Network-Based Ensemble Learning Approach for Wheat Leaf Disease Classification.

Samia Nawaz Yousafzai, Inzamam Mashood Nasir, Sara Tehsin, Dania Saleem Malik, Ismail Keshta, Norma Latif Fitriyani, Yeong Hyeon Gu, Muhammad Syafrudin

IEEE Access, 2025

2024

DaSAM: Disease and Spatial Attention Module-Based Explainable Model for Brain Tumor Detection.

Sara Tehsin, Inzamam Mashood Nasir, Robertas Damasevicius, Rytis Maskeliunas

Big Data Cogn. Comput., September, 2024

X-News dataset for online news categorization.

Samia Nawaz Yousafzai, Hooria Shahbaz, Armughan Ali, Amreen Qamar, Inzamam Mashood Nasir, Sara Tehsin, Robertas Damasevicius

Int. J. Intell. Comput. Cybern., 2024

Explainable Cubic Attention-Based Autoencoder for Skin Cancer Classification.

Inzamam Mashood Nasir, Sara Tehsin, Robertas Damasevicius, Adam Zielonka, Marcin Wozniak

Proceedings of the Artificial Intelligence and Soft Computing, 2024

Ensemble Learning for Offline Signature Verification using Fused Deep Features.

Sara Tehsin, Ali Hassan, Farhan Riaz

Proceedings of the 5th International Conference on Advancements in Computational Sciences, 2024

Interpreting CNN for Brain Tumor Classification Using XGrad-Cam.

Sara Tehsin, Inzamam Mashood Nasir, Robertas Damasevicius

Proceedings of the Advanced Research in Technologies, Information, Innovation and Sustainability, 2024

Explainability of Disease Classification from Medical Images Using XGrad-Cam.

Sara Tehsin, Inzamam Mashood Nasir, Robertas Damasevicius

Proceedings of the Advanced Research in Technologies, Information, Innovation and Sustainability, 2024

2017

Self-Organizing Hierarchical Particle Swarm Optimization of Correlation Filters for Object Recognition.

Sara Tehsin, Saad Rehman, Muhammad Omer Bin Saeed, Farhan Riaz, Ali Hassan, Muhammad Abbas, Rupert C. D. Young, Mohammad S. Alam

IEEE Access, 2017