تصفح حسب المؤلف "Al-Fuqaha, Ala"
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Arabic natural language processing for Qur'anic research: a systematic review
Bashir, Muhammad Huzaifa; Azmi, Aqil M.; Nawaz, Haq; Zaghouani, Wajdi; Diab, Mona; Al-Fuqaha, Ala; Qadir, Junaid... more authors ... less authors ( Springer Nature , 2023 , Article)The Qur'an is a fourteen centuries old divine book in Arabic language that is read and followed by almost two billion Muslims globally as their sacred religious text. With the rise of Islam, the Arabic language gained ... -
Budgeted online selection of candidate iot clients to participate in federated learning
Mohammed, Ihab; Tabatabai, Shadha; Al-Fuqaha, Ala; Bouanani, Faissal El; Qadir, Junaid; Qolomany, Basheer; Guizani, Mohsen... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Machine learning (ML), and deep learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques, however, suffer from privacy and security concerns since data are collected from ... -
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Ilahi, Inaam; Usama, Muhammad; Qadir, Junaid; Janjua, Muhammad Umar; Al-Fuqaha, Ala; Hoang, Dinh Thai; Niyato, Dusit... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Deep reinforcement learning (DRL) has numerous applications in the real world, thanks to its ability to achieve high performance in a range of environments with little manual oversight. Despite its great advantages, DRL ... -
Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges
Ahmad, Kashif; Maabreh, Majdi; Ghaly, Mohamed; Khan, Khalil; Qadir, Junaid; Al-Fuqaha, Ala... more authors ... less authors ( Elsevier , 2022 , Article Review)As the globally increasing population drives rapid urbanization in various parts of the world, there is a great need to deliberate on the future of the cities worth living. In particular, as modern smart cities embrace ... -
Explainable, trustworthy, and ethical machine learning for healthcare: A survey
Rasheed, Khansa; Qayyum, Adnan; Ghaly, Mohammed; Al-Fuqaha, Ala; Razi, Adeel; Qadir, Junaid... more authors ... less authors ( Elsevier , 2022 , Article Review)With the advent of machine learning (ML) and deep learning (DL) empowered applications for critical applications like healthcare, the questions about liability, trust, and interpretability of their outputs are raising. The ... -
Exploiting Client-Side Collected Measurements to Perform QoS Assessment of IaaS
Kamel, Ammar; Al-Fuqaha, Ala; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article)Delivering reliable service offerings to clients remain a challenging aspect in today's cloud infrastructure. A broad number of research studies have undertaken the service evaluation process from one side; that is, the ... -
Exploiting context severity to achieve opportunistic service differentiation in vehicular ad hoc networks
Salahuddin, Mohammad A.; Al-Fuqaha, Ala; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2014 , Article)Wireless Access in Vehicular Environment (WAVE) dictates primitives for intelligent transportation system (ITS) applications and services. The medium access control (MAC) layer in WAVE facilitates service differentiation. ... -
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, Ala; Guizani, Mohsen; Mohammadi, Mehdi; Aledhari, Mohammed; Ayyash, Moussa ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article)This paper provides an overview of the Internet of Things (IoT) with emphasis on enabling technologies, protocols, and application issues. The IoT is enabled by the latest developments in RFID, smart sensors, communication ... -
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 ... -
RSU cloud and its resource management in support of enhanced vehicular applications
Salahuddin, Mohammad A.; Al-Fuqaha, Ala; Guizani, Mohsen; Cherkaoui, Soumaya ( IEEE , 2014 , Conference Paper)We propose Roadside Unit (RSU) Clouds as a novel way to offer non-safety application with QoS for VANETs. The architecture of RSU Clouds is delineated, and consists of traditional RSUs and specialized micro-datacenters and ... -
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 ... -
Software-defined networking for rsu clouds in support of the internet of vehicles
Salahuddin, Mohammad Ali; Al-Fuqaha, Ala; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Article)We propose a novel roadside unit (RSU) cloud, a vehicular cloud, as the operational backbone of the vehicle grid in the Internet of Vehicles (IoV). The architecture of the proposed RSU cloud consists of traditional and ... -
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 ...