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All Outputs (7)

Enhancing the security in IoT and IIoT networks: An intrusion detection scheme leveraging deep transfer learning (2024)
Journal Article
Ahmad, B., Wu, Z., Huang, Y., & Rehman, S. U. (2024). Enhancing the security in IoT and IIoT networks: An intrusion detection scheme leveraging deep transfer learning. Knowledge-Based Systems, 305, Article 112614. https://doi.org/10.1016/j.knosys.2024.112614

The Internet of Things (IoT) networks, which are defined by their interconnected devices and data streams are an expanding attack surface for cyber adversaries. Industrial Internet of Things (IIoT) is a subset of IoT and has significant importance in... Read More about Enhancing the security in IoT and IIoT networks: An intrusion detection scheme leveraging deep transfer learning.

A Two-branch Edge Guided Lightweight Network for infrared image saliency detection (2024)
Journal Article
Liu, Z., Li, X., Zhang, T., Zhang, X., Sun, C., Rehman, S. U., & Ahmad, J. (2024). A Two-branch Edge Guided Lightweight Network for infrared image saliency detection. Computers and Electrical Engineering, 118, 109296. https://doi.org/10.1016/j.compeleceng.2024.109296

In the dynamic landscape of saliency detection, convolutional neural networks have emerged as catalysts for innovation, but remain largely tailored for RGB imagery, falling short in the context of infrared images, particularly in memory-restricted en... Read More about A Two-branch Edge Guided Lightweight Network for infrared image saliency detection.

Advancements in intrusion detection: A lightweight hybrid RNN-RF model (2024)
Journal Article
Khan, N., Mohmand, M. I., Rehman, S. U., Ullah, Z., Khan, Z., & Boulila, W. (in press). Advancements in intrusion detection: A lightweight hybrid RNN-RF model. PloS one, 19(6), e0299666. https://doi.org/10.1371/journal.pone.0299666

Computer networks face vulnerability to numerous attacks, which pose significant threats to our data security and the freedom of communication. This paper introduces a novel intrusion detection technique that diverges from traditional methods by leve... Read More about Advancements in intrusion detection: A lightweight hybrid RNN-RF model.

ENSO dataset & comparison of deep learning models for ENSO forecasting (2024)
Journal Article
Mir, S., Arbab, M. A., & Rehman, S. U. (2024). ENSO dataset & comparison of deep learning models for ENSO forecasting. Earth Science Informatics, 17(3), 2623-2628. https://doi.org/10.1007/s12145-024-01295-6

Forecasting the El Nino-Southern Oscillation (ENSO) is a challenging task in climatology. It is one of the main factors responsible for the Earth’s interannual climatic fluctuation and can result in many climatic anomalies. The impacts include natura... Read More about ENSO dataset & comparison of deep learning models for ENSO forecasting.

Deep learning-based forecasting of electricity consumption (2024)
Journal Article
Qureshi, M., Arbab, M. A., & Rehman, S. U. (in press). Deep learning-based forecasting of electricity consumption. Scientific Reports, 14(1), 6489. https://doi.org/10.1038/s41598-024-56602-4

Building energy management systems (BEMS) are integrated computerized systems that track and manage the energy use of many pieces of building-related machinery and equipment, including lighting, power systems, and HVAC systems. Modern buildings must... Read More about Deep learning-based forecasting of electricity consumption.

Saliency Guided Siamese Attention Network for Infrared Ship Target Tracking (2024)
Journal Article
Li, X., Zhang, T., Liu, Z., Liu, B., Rehman, S. U., Rehman, B., & Sun, C. (2024). Saliency Guided Siamese Attention Network for Infrared Ship Target Tracking. IEEE Transactions on Intelligent Transportation Systems, 1-18. https://doi.org/10.1109/tiv.2024.3370233

Due to the lack of discriminative features in infrared images, most of existing trackers cannot separate a target from its background. There are some studies on generating discriminative features where feature fusion and attention are applied to enha... Read More about Saliency Guided Siamese Attention Network for Infrared Ship Target Tracking.