All Outputs (5)

RSSI based Trilateration Technique to Localize Nodes in Underwater Wireless Sensor Networks through Optical Communication (2021)
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 days researchers are highly focused on proposing/implementing localization... Read More about RSSI based Trilateration Technique to Localize Nodes in Underwater Wireless Sensor Networks through Optical Communication.

An Open Source Water Quality Measurement System for Remote Areas (2021)
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 present in major cities which assess the basic quality parameters of drinki... Read More about An Open Source Water Quality Measurement System for Remote Areas.

Detection of COVID-19 Using Transfer Learning and Grad-CAM Visualization on Indigenously Collected X-ray Dataset (2021)
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 corona virus family. With the emergence of continuously mutating variants of... Read More about Detection of COVID-19 Using Transfer Learning and Grad-CAM Visualization on Indigenously Collected X-ray Dataset.

MEMS Sensors for Diagnostics and Treatment in the Fight Against COVID-19 and Other Pandemics (2021)
Journal Article
Khan, M. S., Tariq, M. O., Nawaz, M., & Ahmed, J. (2021). MEMS Sensors for Diagnostics and Treatment in the Fight Against COVID-19 and Other Pandemics. IEEE Access, 9, 61123-61149. https://doi.org/10.1109/access.2021.3073958

As the world is going through an existential global health crisis, i.e., the outbreak of novel coronavirus-caused respiratory disease (Covid-19), the healthcare systems of all the countries require readily available, low cost and highly precise equip... Read More about MEMS Sensors for Diagnostics and Treatment in the Fight Against COVID-19 and Other Pandemics.

Performance Analysis and Comparison of Faster R-CNN, Mask R-CNN and ResNet50 for the Detection and Counting of Vehicles (2021)
Presentation / Conference Contribution
Tahir, H., Khan, M. S., & Owais Tariq, M. (2021, February). Performance Analysis and Comparison of Faster R-CNN, Mask R-CNN and ResNet50 for the Detection and Counting of Vehicles. Presented at 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), Greater Noida, India

Traffic congestion is one of the major issues of urban cities. The conventional techniques used usually to control traffic via different types of sensors are less precise and expensive. Intelligent solutions using deep learning algorithms provide pro... Read More about Performance Analysis and Comparison of Faster R-CNN, Mask R-CNN and ResNet50 for the Detection and Counting of Vehicles.