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881
Optimal Trajectory and Positioning of UAVs for Small Cell HetNets: Geometrical Analysis and Reinforcement Learning Approach
Published 2023“…We then formulate the problem for UAV trajectory to minimize the maximum outage probability (OP) of directional THz links. Then, using geometrical analysis and deep reinforcement learning (RL) method, we propose several algorithms to find the optimal trajectory and select an optimal pattern during the trajectory. …”
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882
A Machine Learning Approach to Predicting Diabetes Complications
Published 2021Get full text
doctoralThesis -
883
Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging
Published 2023Get full text
doctoralThesis -
884
Reliability of artificial intelligence in predicting total knee arthroplasty component sizes: a systematic review
Published 2023“…All included studies were published between 2021 and 2022, with a total of nine different AI algorithms reported. Among these AI models, the accuracy of TKA femoral component sizing prediction ranged from 88.3 to 99.7% within a deviation of one size, while tibial component sizing exhibited an accuracy ranging from 90 to 99.9% ± 1 size.…”
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885
Seasonal variations in feed-water chemistry and fouling dynamics of reverse-osmosis systems: A global climate lens
Published 2025“…Future installations should align membrane materials, pretreatment systems, and control algorithms with site-specific hydrological calendars.…”
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886
A fine-grained XML structural comparison approach
Published 2007“…Most of them make use of techniques for finding the edit distance between tree structures, XML documents being modeled as ordered labeled trees. …”
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conferenceObject -
887
Systematic reviews in sentiment analysis: a tertiary study
Published 2022“…Different features, algorithms, and datasets used in sentiment analysis models are mapped. …”
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888
Precision nutrition: A systematic literature review
Published 2021“…Models were through the use of four groups of approaches and 23 evaluation metrics. …”
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889
The architecture of a highly reconfigurable RISC dataflow array processor
Published 2020“…This processor forms an element of a processor array which possess the features of both static and dynamic dataflow models. The array can be programmed to execute arbitrary algorithms in both static and dynamic manner. …”
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article -
890
A quadratic kernel for 3-set packing
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conferenceObject -
891
Comparative Study on Arabic Text Classification: Challenges and Opportunities
Published 2022“…This paper presents a comparative study based on a list of chosen published papers that focus on improving Arabic text classifications, to highlight the given models and the used classifiers besides discussing the faced challenges in these types of researches, then this paper proposes the expected research opportunities in the field of text classification research. …”
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892
Correlation Clustering via 2-Club Clustering with Vertex Splitting
Published 2024Get full text
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masterThesis -
893
Software-Defined-Networking-Based One-versus-Rest Strategy for Detecting and Mitigating Distributed Denial-of-Service Attacks in Smart Home Internet of Things Devices
Published 2024“…We conducted a comparative analysis of various models and algorithms used in the related works. The results indicated that our proposed approach outperforms others, showcasing its effectiveness in both detecting and mitigating DDoS attacks within SDNs. …”
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894
From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors
Published 2021“…The methods for correcting and calibrating these biases and dependencies that have been used in the literature likewise range from simple linear and quadratic models to complex machine learning algorithms. …”
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895
Capillary trapping in mixed-wet porous media: Implications for subsurface carbon dioxide sequestration
Published 2025“…Insights from this study can be used for improving pore network models and training machine learning algorithms.…”
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896
Engineering the advances of the artificial neural networks (ANNs) for the security requirements of Internet of Things: a systematic review
Published 2023“…In this question, we also determined the various models, frameworks, techniques and algorithms suggested by ANNs for the security advancements of IoT. …”
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897