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All Outputs (9)

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.

A novel routing optimization strategy based on reinforcement learning in perception layer networks (2023)
Journal Article
Tan, H., Ye, T., Rehman, S. U., ur Rehman, O., Tu, S., & Ahmad, J. (2023). A novel routing optimization strategy based on reinforcement learning in perception layer networks. Computer Networks, 237, 110105. https://doi.org/10.1016/j.comnet.2023.110105

Wireless sensor networks have become incredibly popular due to the Internet of Things’ (IoT) rapid development. IoT routing is the basis for the efficient operation of the perception-layer network. As a popular type of machine learning, reinforcement... Read More about A novel routing optimization strategy based on reinforcement learning in perception layer networks.

Two-stage Domain Adaptation for Infrared Ship Target Segmentation (2023)
Journal Article
Zhang, T., Shen, H., Rehman, S. U., Liu, Z., Li, Y., & Rehman, O. U. (2023). Two-stage Domain Adaptation for Infrared Ship Target Segmentation. IEEE Transactions on Geoscience and Remote Sensing, 61, https://doi.org/10.1109/tgrs.2023.3325298

Ship target segmentation in infrared scenes has always been a hot topic, since it is an important basis and prerequisite for infrared-guided weapons to reliably capture and recognize ship targets in the sea-level background. However, given the small... Read More about Two-stage Domain Adaptation for Infrared Ship Target Segmentation.

Cyberattacks and Security of Cloud Computing: A Complete Guideline (2023)
Journal Article
Dawood, M., Tu, S., Xiao, C., Alasmary, H., Waqas, M., & Rehman, S. U. (in press). Cyberattacks and Security of Cloud Computing: A Complete Guideline. Symmetry, 15(11), 1981. https://doi.org/10.3390/sym15111981

Cloud computing is an innovative technique that offers shared resources for stock cache and server management. Cloud computing saves time and monitoring costs for any organization and turns technological solutions for large-scale systems into server-... Read More about Cyberattacks and Security of Cloud Computing: A Complete Guideline.