Â鶹ÉçÇø

FireXnet: an explainable AI-based tailored deep learning model for wildfire detection on resource-constrained devices

Journal Article

Ahmad, K., Khan, M. S., Ahmed, F., Driss, M., Boulila, W., Alazeb, A., …Ahmad, J. (2023)

FireXnet: an explainable AI-based tailored deep learning model for wildfire detection on resource-constrained devices. Fire Ecology, 19, Article 54. https://doi.org/10.1186/s42408-023-00216-0

Background: Forests cover nearly one-third of the Earth’s land and are some of our most biodiverse ecosystems. Due to climate change, these essential habitats are endangered b...

SRSS: A New Chaos-Based Single-Round Single S-Box Image Encryption Scheme for Highly Auto-Correlated Data

Conference Proceeding

Shahbaz Khan, M., Ahmad, J., Ali, H., Pitropakis, N., Al-Dubai, A., Ghaleb, B., & Buchanan, W. J. (in press)

SRSS: A New Chaos-Based Single-Round Single S-Box Image Encryption Scheme for Highly Auto-Correlated Data.

With the advent of digital communication, securing digital images during transmission and storage has become a critical concern. The traditional s-box substitution methods oft...

Prediction of the SARS-CoV-2 Derived T-Cell Epitopes’ Response Against COVID Variants

Journal Article

Tahir, H., Shahbaz Khan, M., Ahmed, F., M. Albarrak, A., Noman Qasem, S., & Ahmad, J. (2023)

Prediction of the SARS-CoV-2 Derived T-Cell Epitopes’ Response Against COVID Variants. Computers, Materials & Continua, 75(2), 3517-3535. https://doi.org/10.32604/cmc.2023.035410

The COVID-19 outbreak began in December 2019 and was declared a global health emergency by the World Health Organization. The four most dominating variants are Beta, Gamma, De...

A DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder

Journal Article

Ahmed, F., Rehman, M. U., Ahmad, J., Khan, M. S., Boulila, W., Srivastava, G., Lin, J. C.-W., & Buchanan, W. J. (2023)

A DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder. ACM transactions on multimedia computing communications and applications, 19(3s), Article 128. https://doi.org/10.1145/3570165

With the advancement in technology, digital images can easily be transmitted and stored over the Internet. Encryption is used to avoid illegal interception of digital images. ...

Predicting Breast Cancer Leveraging Supervised Machine Learning Techniques

Journal Article

Aamir, S., Rahim, A., Aamir, Z., Abbasi, S. F., Khan, M. S., Alhaisoni, M., Khan, M. A., Khan, K., & Ahmad, J. (2022)

Predicting Breast Cancer Leveraging Supervised Machine Learning Techniques. Computational and Mathematical Methods in Medicine, 2022, Article 5869529. https://doi.org/10.1155/2022/5869529

Breast cancer is one of the leading causes of increasing deaths in women worldwide. The complex nature (microcalcification and masses) of breast cancer cells makes it quite di...

Machine Learning-Based Prediction of Node Localization Accuracy in IIoT-Based MI-UWSNs and Design of a TD Coil for Omnidirectional Communication

Journal Article

Gang, Q., Muhammad, A., Khan, Z. U., Khan, M. S., Ahmed, F., & Ahmad, J. (2022)

Machine Learning-Based Prediction of Node Localization Accuracy in IIoT-Based MI-UWSNs and Design of a TD Coil for Omnidirectional Communication. Sustainability, 14(15), Article 9683. https://doi.org/10.3390/su14159683

This study aims to realize Sustainable Development Goals (SDGs), i.e., SDG 9: Industry Innovation and Infrastructure and SDG 14: Life below Water, through the improvement of l...

Addressing the Directionality Challenge through RSSI-Based Multilateration Technique, to Localize Nodes in Underwater WSNs by Using Magneto-Inductive Communication

Journal Article

Qiao, G., Muhammad, A., Muzzammil, M., Shoaib Khan, M., Tariq, M. O., & Khan, M. S. (2022)

Addressing the Directionality Challenge through RSSI-Based Multilateration Technique, to Localize Nodes in Underwater WSNs by Using Magneto-Inductive Communication. Journal of marine science and engineering, 10(4), Article 530. https://doi.org/10.3390/jmse10040530

The deployment and efficient use of wireless sensor networks (WSNs) in underwater and underground environments persists to be a difficult task. In addition, the localization o...

RSSI based Trilateration Technique to Localize Nodes in Underwater Wireless Sensor Networks through Optical Communication

Presentation / Conference Contribution

Aman, M., Gang, Q., Mian, S., Muzzammil, M., Tariq, M. O., & Khan, M. S. (2021, December)

RSSI based Trilateration Technique to Localize Nodes in Underwater Wireless Sensor Networks through Optical Communication. Presented at 2021 16th International Conference on Emerging Technologies (ICET), Islamabad, Pakistan

In the past few decades, optical communication with high data rates up to Gb/s in underwater wireless sensor networks (UWSN) has been extensively investigated. However, now a ...

An Open Source Water Quality Measurement System for Remote Areas

Presentation / Conference Contribution

Tariq, M. O., Siddiq, A., Irshad, H., Aman, M., & Khan, M. S. (2021, November)

An Open Source Water Quality Measurement System for Remote Areas. Presented at The 1st International Conference on Energy, Power and Environment, Gujrat, Pakistan

The unavailability of safe drinking water leads to poor conditions related to mental and physical health. To quantify the quality of water, laboratories testing the water are ...

Detection of COVID-19 Using Transfer Learning and Grad-CAM Visualization on Indigenously Collected X-ray Dataset

Journal Article

Umair, M., Khan, M. S., Ahmed, F., Baothman, F., Alqahtani, F., Alian, M., & Ahmad, J. (2021)

Detection of COVID-19 Using Transfer Learning and Grad-CAM Visualization on Indigenously Collected X-ray Dataset. Sensors, 21(17), Article 5813. https://doi.org/10.3390/s21175813

The COVID-19 outbreak began in December 2019 and has dreadfully affected our lives since then. More than three million lives have been engulfed by this newest member of the co...