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61
A new estimator and approach for estimating the subpopulation parameters
Published 2021“…<p dir="ltr">Based on some theoretical results, we recommend a new algorithm for estimating the total and mean of a subpopulation variable for the case of a known subpopulation size, which is different from the algorithm recommended by most of sampling books. …”
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62
Precision nutrition: A systematic literature review
Published 2021“…In total, 30 algorithms were used, with 19 appearing more than once. …”
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63
Diagnosing failed distribution transformers using neural networks
Published 2001“…The ANN was trained utilizing backpropagation algorithm using a real (out of the field) data obtained from utilities distribution networks transformer's failures. …”
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64
Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System
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65
Resilience analytics: coverage and robustness in multi-modal transportation networks
Published 2018“…In this work, we propose MUME, an efficient algorithm for Multi-modal Urban Mobility Estimation, that takes advantage of the special structure of the supra-Laplacian matrix of the transportation multiplex, to compute the coverage of the system. …”
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The use of semantic-based predicates implication to improve horizontal multimedia database fragmentation
Published 2007“…Database fragmentation allows reducing irrelevant data accesses by grouping data frequently accessed together in dedicated segments. …”
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Towards Multimedia Fragmentation
Published 2006“…Database fragmentation is a process for reducing irrelevant data accesses by grouping data frequently accessed together in dedicated segments. …”
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69
Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort
Published 2023“…<p dir="ltr">Nowadays, in contemporary building and energy management systems (BEMSs), the predominant approach involves rule-based methodologies, typically employing supervised or unsupervised learning, to deliver energy-saving recommendations to building occupants. However, these BEMSs often suffer from a critical limitation—they are primarily trained on building energy data alone, disregarding crucial elements such as occupant comfort and preferences. …”
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70
Design and Analysis of Lightweight Authentication Protocol for Securing IoD
Published 2021“…An attacker can easily capture data from the available network channel and use it for their own purpose. …”
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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“…Findings referred these barriers to limited teacher training, technological accessibility, and data privacy concerns, as well as ethical biases in AI algorithms. …”
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THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar
Published 2020“…Consequently, the big data revolution has provided an opportunity to apply artificial intelligence and machine learning algorithms to mine such a vast data set. …”
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Corrosion Monitoring Technologies for Reinforced Concrete Structures: A Review
Published 2023“…Irrespective of the adopted processes for corrosion monitoring, it was concluded that none of these methods represent an optimum solution by itself, where employing a combination of multiple systems is one way of optimizing its results. New technology, algorithms, data processing, and AI are new approaches to improving corrosion monitoring processes. …”
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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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Legal and Ethical Considerations of Artificial Intelligence for Residents in Post-Acute and Long-Term Care
Published 2024“…Second, how discrimination and bias in algorithmic decision-making can undermine Medicare coverage for PA-LTC, causing doctors' recommendations to be ignored and denying residents the care they are entitled to. …”
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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. …”