Search Results for author: Adnan Qayyum

Found 8 papers, 2 papers with code

Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge

no code implementations19 Jan 2021 Adnan Qayyum, Kashif Ahmad, Muhammad Ahtazaz Ahsan, Ala Al-Fuqaha, Junaid Qadir

Despite significant improvements over the last few years, cloud-based healthcare applications continue to suffer from poor adoption due to their limitations in meeting stringent security, privacy, and quality of service requirements (such as low latency).

COVID-19 Diagnosis Edge-computing +1

Secure and Robust Machine Learning for Healthcare: A Survey

no code implementations21 Jan 2020 Adnan Qayyum, Junaid Qadir, Muhammad Bilal, Ala Al-Fuqaha

Recent years have witnessed widespread adoption of machine learning (ML)/deep learning (DL) techniques due to their superior performance for a variety of healthcare applications ranging from the prediction of cardiac arrest from one-dimensional heart signals to computer-aided diagnosis (CADx) using multi-dimensional medical images.

Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward

no code implementations29 May 2019 Adnan Qayyum, Muhammad Usama, Junaid Qadir, Ala Al-Fuqaha

Connected and autonomous vehicles (CAVs) will form the backbone of future next-generation intelligent transportation systems (ITS) providing travel comfort, road safety, along with a number of value-added services.

Autonomous Vehicles

Medical Image Analysis using Convolutional Neural Networks: A Review

no code implementations4 Sep 2017 Syed Muhammad Anwar, Muhammad Majid, Adnan Qayyum, Muhammad Awais, Majdi Alnowami, Muhammad Khurram Khan

Deep learning is successfully used as a tool for machine learning, where a neural network is capable of automatically learning features.

Anomaly Detection

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