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Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort
Published 2023“…In response to these challenges, this article introduces a cutting-edge edge computing architecture grounded in virtual organizations, federated learning, and deep reinforcement learning algorithms, tailored to optimize energy consumption within buildings/homes and facilitate demand response. …”
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Dynamic Cyber Resilience of Interdependent Critical Information Infrastructures
Published 2021“…Finally, study limitations and recommendations for future works represented the research outcomes and contributions.…”
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The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs
Published 2023“…One of the prominent challenges lies in the presence of barren plateaus (BP) in QML algorithms, particularly in quantum neural networks (QNNs). …”
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Design and Analysis of Lightweight Authentication Protocol for Securing IoD
Published 2021“…We proposed a hash message authentication code/secure hash algorithmic (HMACSHA1) based robust, improved and lightweight authentication protocol for securing IoD. …”
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Teachers' Perceptions of the Role of Artificial Intelligence in Facilitating Inclusive Practices for Students with Special Educational Needs and Disabilities: A Case Study in a Pri...
Published 2025“…The study wrapped up with a list of recommendations such as enhanced professional development programmes for teachers, improved AI infrastructure, as well as collaborative efforts among stakeholders to ensure the ethical and indeed effective use of AI in inclusive education. …”
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Artificial Intelligence for Assessing the Correlation Between Sleep Apnoea and Comorbidities
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THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar
Published 2020“…</p><p dir="ltr">The PM policy briefing provides concrete recommendations on moving forward with PM initiatives in Qatar and internationally. …”
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Deep and transfer learning for building occupancy detection: A review and comparative analysis
Published 2022“…Moreover, the paper conducted a comparative study of the readily available algorithms for occupancy detection to determine the optimal method in regards to training time and testing accuracy. …”
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Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study
Published 2023“…<p dir="ltr">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 measured ultimately in terms of how it benefits human beings, and that the data driving the deep learning-based edge AI algorithms are intricately and intimately tied to humans, it is important to look at these AI technologies through a human-centric lens. …”
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Towards secure and trusted AI in healthcare: A systematic review of emerging innovations and ethical challenges
Published 2025“…Still, challenges in adversarial attacks, algorithmic bias, and variable regulatory frameworks remain strong. …”
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An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study
Published 2024“…We aimed to develop an app using a comprehensive geomapping navigation and estimation system based on machine learning algorithms. This app uses key stroke-related timelines including the last time the patient was known to be well, patient location, treatment options, and imaging availability at different health care facilities.…”