Browsing Computer Science & Engineering by Author "Qadir, Junaid"
Now showing items 21-33 of 33
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Privacy-preserving artificial intelligence in healthcare: Techniques and applications
Khalid, Nazish; Qayyum, Adnan; Bilal, Muhammad; Al-Fuqaha, Ala; Qadir, Junaid ( Elsevier , 2023 , Article Review)There has been an increasing interest in translating artificial intelligence (AI) research into clinically-validated applications to improve the performance, capacity, and efficacy of healthcare services. Despite substantial ... -
Quantum Computing for Healthcare: A Review
Ur Rasool, Raihan; Ahmad, Hafiz F.; Rafique, Wajid; Qayyum, Adnan; Qadir, Junaid; Anwar, Zahid... more authors ... less authors ( MDPI , 2023 , Article Review)In recent years, the interdisciplinary field of quantum computing has rapidly developed and garnered substantial interest from both academia and industry due to its ability to process information in fundamentally different ... -
Robust Enhancement of Intrusion Detection Systems Using Deep Reinforcement Learning and Stochastic Game
Benaddi, Hafsa; Ibrahimi, Khalil; Benslimane, Abderrahim; Jouhari, Mohammed; Qadir, Junaid ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The incorporation of advanced networking technologies makes modern systems vulnerable to cyber-attacks that can result in a number of harmful outcomes. Due to the increase of security incidents and massive activities on ... -
Secure Bluetooth Communication in Smart Healthcare Systems: A Novel Community Dataset and Intrusion Detection System
Zubair, Mohammed; Ghubaish, Ali; Unal, Devrim; Al-Ali, Abdulla; Reimann, Thomas; Alinier, Guillaume; Hammoudeh, Mohammad; Qadir, Junaid... more authors ... less authors ( MDPI , 2022 , Article)Smart health presents an ever-expanding attack surface due to the continuous adoption of a broad variety of Internet of Medical Things (IoMT) devices and applications. IoMT is a common approach to smart city solutions that ... -
Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML
Rasool, Raihan Ur; Ahmad, Hafiz Farooq; Rafique, Wajid; Qayyum, Adnan; Qadir, Junaid ( Elsevier , 2022 , Article Review)Internet of Medical Things (IoMT) supports traditional healthcare systems by providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services. It enables the development of smart hardware as ... -
Selective Deeply Supervised Multi-Scale Attention Network for Brain Tumor Segmentation
Rehman, Azka; Usman, Muhammad; Shahid, Abdullah; Latif, Siddique; Qadir, Junaid ( MDPI , 2023 , Article)Brain tumors are among the deadliest forms of cancer, characterized by abnormal proliferation of brain cells. While early identification of brain tumors can greatly aid in their therapy, the process of manual segmentation ... -
Single-shot retinal image enhancement using untrained and pretrained neural networks priors integrated with analytical image priors
Qayyum, Adnan; Sultani, Waqas; Shamshad, Fahad; Tufail, Rashid; Qadir, Junaid ( Elsevier , 2022 , Article)Retinal images acquired using fundus cameras are often visually blurred due to imperfect imaging conditions, refractive medium turbidity, and motion blur. In addition, ocular diseases such as the presence of cataracts also ... -
Smart Cities from the Perspective of Systems
Ammara, Umme; Rasheed, Khansa; Mansoor, Athar; Al-Fuqaha, Ala; Qadir, Junaid ( MDPI , 2022 , Article)Modern cities are complex adaptive systems in which there is a lot of dependency and interaction between the various stakeholders, components, and subsystems. The use of digital Information and Communications Technology ... -
Tamp-X: Attacking explainable natural language classifiers through tampered activations
Ali, Hassan; Khan, Muhammad Suleman; Al-Fuqaha, Ala; Qadir, Junaid ( Elsevier , 2022 , Article)While the technique of Deep Neural Networks (DNNs) has been instrumental in achieving state-of-the-art results for various Natural Language Processing (NLP) tasks, recent works have shown that the decisions made by DNNs ... -
Toward accountable human-centered AI: rationale and promising directions
Qadir, Junaid; Islam, Mohammad Qamar; Al-Fuqaha, Ala ( Emerald Group Holdings Ltd. , 2022 , Article Review)Purpose: Along with the various beneficial uses of artificial intelligence (AI), there are various unsavory concomitants including the inscrutability of AI tools (and the opaqueness of their mechanisms), the fragility of ... -
Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study
Butt, Muhammad Atif; Qayyum, Adnan; Ali, Hassan; Al-Fuqaha, Ala; Qadir, Junaid ( Elsevier , 2023 , Article)The use of artificial intelligence (AI) at the edge is transforming every aspect of the lives of human beings from scheduling daily activities to personalized shopping recommendations. Since the success of AI is to be ... -
Trust-Based Cloud Machine Learning Model Selection for Industrial IoT and Smart City Services
Qolomany, Basheer; Mohammed, Ihab; Al-Fuqaha, Ala; Guizani, Mohsen; Qadir, Junaid ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)With machine learning (ML) services now used in a number of mission-critical human-facing domains, ensuring the integrity and trustworthiness of ML models becomes all important. In this work, we consider the paradigm where ... -
Untrained Neural Network Priors for Inverse Imaging Problems: A Survey
Qayyum, Adnan; Ilahi, Inaam; Shamshad, Fahad; Boussaid, Farid; Bennamoun, Mohammed; Qadir, Junaid... more authors ... less authors ( IEEE Computer Society , 2023 , Article)In recent years, advancements in machine learning (ML) techniques, in particular, deep learning (DL) methods have gained a lot of momentum in solving inverse imaging problems, often surpassing the performance provided by ...