Search Results for author: Shumaila Javaid

Found 5 papers, 0 papers with code

LoRa Communication for Agriculture 4.0: Opportunities, Challenges, and Future Directions

no code implementations17 Sep 2024 Lameya Aldhaheri, Noor Alshehhi, Irfana Ilyas Jameela Manzil, Ruhul Amin Khalil, Shumaila Javaid, Nasir Saeed, Mohamed-Slim Alouini

This paper investigates the transformative potential of Long Range (LoRa) technology as a key enabler of long-range wireless communication for agricultural IoT systems.

energy management

Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions

no code implementations5 Jul 2024 Shumaila Javaid, Ruhul Amin Khalil, Nasir Saeed, Bin He, Mohamed-Slim Alouini

Integrated satellite, aerial, and terrestrial networks (ISATNs) represent a sophisticated convergence of diverse communication technologies to ensure seamless connectivity across different altitudes and platforms.

Data Integration Decision Making +1

Large Language Models for UAVs: Current State and Pathways to the Future

no code implementations2 May 2024 Shumaila Javaid, Nasir Saeed, Bin He

Large Language Models (LLMs), a key component of AI, exhibit remarkable learning and adaptation capabilities within deployed environments, demonstrating an evolving form of intelligence with the potential to approach human-level proficiency.

Decision Making Disaster Response

Communication and Control in Collaborative UAVs: Recent Advances and Future Trends

no code implementations23 Feb 2023 Shumaila Javaid, Nasir Saeed, Zakria Qadir, Hamza Fahim, Bin He, Houbing Song, Muhammad Bilal

The recent progress in unmanned aerial vehicles (UAV) technology has significantly advanced UAV-based applications for military, civil, and commercial domains.

Decision Making

Neural Networks for Infectious Diseases Detection: Prospects and Challenges

no code implementations7 Dec 2021 Muhammad Azeem, Shumaila Javaid, Hamza Fahim, Nasir Saeed

Artificial neural network (ANN) ability to learn, correct errors, and transform a large amount of raw data into useful medical decisions for treatment and care have increased its popularity for enhanced patient safety and quality of care.

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