All Outputs (4)

Hyperspectral Image Classification - Traditional to Deep Models: A Survey for Future Prospects (2021)
Journal Article
Ahmad, M., Shabbir, S., Roy, S. K., Hong, D., Wu, X., Yao, J., …Chanussot, J. (2022). Hyperspectral Image Classification - Traditional to Deep Models: A Survey for Future Prospects. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 968-999. https://doi.org/10.1109/JSTARS.2021.3133021

Hyperspectral imaging (HSI) has been extensively utilized in many real-life applications because it benefits from the detailed spectral information contained in each pixel. Notably, the complex characteristics, i.e., the nonlinear relation among the... Read More about Hyperspectral Image Classification - Traditional to Deep Models: A Survey for Future Prospects.

Using Proximity Graph Cut for Fast and Robust Instance-Based Classification in Large Datasets (2021)
Journal Article
Protasov, S., & Khan, A. M. (2021). Using Proximity Graph Cut for Fast and Robust Instance-Based Classification in Large Datasets. Complexity, 2021, Article 2011738. https://doi.org/10.1155/2021/2011738

K-nearest neighbours (kNN) is a very popular instance-based classifier due to its simplicity and good empirical performance. However, large-scale datasets are a big problem for building fast and compact neighbourhood-based classifiers. This work pres... Read More about Using Proximity Graph Cut for Fast and Robust Instance-Based Classification in Large Datasets.

A Novel Contract Theory-Based Incentive Mechanism for Cooperative Task-Offloading in Electrical Vehicular Networks (2021)
Journal Article
Kazmi, S. M., Dang, T. N., Yaqoob, I., Manzoor, A., Hussain, R., Khan, A., Hong, C. S., & Salah, K. (2022). A Novel Contract Theory-Based Incentive Mechanism for Cooperative Task-Offloading in Electrical Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, 23(7), 8380-8395. https://doi.org/10.1109/TITS.2021.3078913

The proliferation of compute-intensive services in next-generation vehicular networks will impose an unprecedented computation demand to meet stringent latency and resource requirements. Vehicular edge or fog computing has been a widely adopted solut... Read More about A Novel Contract Theory-Based Incentive Mechanism for Cooperative Task-Offloading in Electrical Vehicular Networks.

Adversarial Reconstruction Loss for Domain Generalization (2021)
Journal Article
Bekkouch, I. E. I., Nicolae, D. C., Khan, A., Kazmi, S. M., Khattak, A. M., & Ibragimov, B. (2021). Adversarial Reconstruction Loss for Domain Generalization. IEEE Access, 9, 42424-42437. https://doi.org/10.1109/ACCESS.2021.3066041

The biggest fear when deploying machine learning models to the real world is their ability to handle the new data. This problem is significant especially in medicine, where models trained on rich high-quality data extracted from large hospitals do no... Read More about Adversarial Reconstruction Loss for Domain Generalization.