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301
Nonlinear Friction Identification of A Linear Voice Coil DC Motor
Published 2015Get full text
doctoralThesis -
302
A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis
Published 2021“…Publishers should avoid noise in the data by developing a way to trace the evolution of individual publications and unique authors.…”
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303
An Auction-Based Scheduling Approach for Minimizing Latency in Fog Computing Using 5G Infrastructure
Published 2020Get full text
doctoralThesis -
304
From Collatz Conjecture to chaos and hash function
Published 2023“…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …”
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305
The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions
Published 2022“…To this end, we carefully identify the types of DRL algorithms utilized in each related work, the elements of these algorithms, and the main findings of each related work. …”
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306
Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases
Published 2024“…The use of AI in ECG analysis has several benefits, including the quick and precise detection of problems like arrhythmias, silent cardiac illnesses, and left ventricular failure. …”
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307
Predicting insulin dosage for diabetic patients to reach optimal glucose levels. (c2012)
Published 2012Get full text
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masterThesis -
308
A Digital DNA Sequencing Engine for Ransomware Analysis using a Machine Learning Network
Published 2020“…The preprocessing of data includes remove missing value records and remove columns that have a negligible impact. …”
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309
Impacts of climate change on the global spread and habitat suitability of <i>Coxiella burnetii</i>: Future projections and public health implications
Published 2025“…In interpreting these results, it is important to consider modelling uncertainties, including assumptions and data limitations.</p><h2>Other Information</h2><p dir="ltr">Published in: The Journal of Climate Change and Health<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.joclim.2025.100442" target="_blank">https://dx.doi.org/10.1016/j.joclim.2025.100442</a></p>…”
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310
A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks
Published 2025“…Reported benefits include energy savings, emissions reduction, and improved operational efficiency, although gains are often contingent on data quality, reward design, and benchmark selection. …”
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311
Scrambled Prime Key Encryption
Published 2018Get full text
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conferenceObject -
312
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313
Towards Multimedia Fragmentation
Published 2006Get full text
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conferenceObject -
314
Modelling of pollutant transport in compound open channels
Published 1998“…The numerical computation of open-channel flows requires preparing and processing larger volumes of boundary and bathymetry data for computer inputs and the development of numerical algorithms for treating complex boundary condition, channel properties, and free surface effects. …”
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masterThesis -
315
Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression
Published 2023“…Further studies are needed to examine the performance of wearable AI based on a combination of wearable device data and neuroimaging data and to distinguish patients with depression from those with other diseases.…”
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316
Privacy Preserving Cancellable Template Generation for Crypto-Biometric Authentication System
Published 2025“…The proposed methodology not only ensures the protection of biometric data in storage but also facilitates secure data retrieval for authentication purposes. …”
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317
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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318
Artificial intelligence models for predicting the mode of delivery in maternal care
Published 2025“…</p><h3>Objectives</h3><p dir="ltr">This study aims to evaluate and compare the predictive accuracy of AI algorithms in predicting the mode of delivery (vaginal or cesarean) using routinely collected antepartum data from electronic health records (EHRs). …”
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319
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320
Efficient XML Structural Similarity Detection using Sub-tree Commonalities
Published 2007Get full text
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