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281
Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology
Published 2023“…As personalized medicine and toxicogenomics involve huge data processing, AI can expedite this process by providing powerful data processing, analysis, and interpretation algorithms. …”
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282
Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning
Published 2023“…Pre-processing is a vital part of the data preparation process for cyberbullying detection. …”
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283
Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model
Published 2024“…The proposed approach of DDN is trained with proper data sequences used for communication and the training phase is conducted with the norms of numerous channel variants. …”
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284
Evacuation of a highly congested urban city
Published 2017“…As the evacuation route planning is computationally challenging, an evacuation scheduling algorithm was adopted to expedite the solution process. …”
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conferenceObject -
285
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 -
286
Assessment of static pile design methods and non-linear analysis of pile driving
Published 2006“…The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …”
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masterThesis -
287
Corrosion Monitoring Technologies for Reinforced Concrete Structures: A Review
Published 2023“…New technology, algorithms, data processing, and AI are new approaches to improving corrosion monitoring processes. …”
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288
LNCRI: Long Non-Coding RNA Identifier in Multiple Species
Published 2021“…However, the cost and time-consuming nature of transcriptomics verification techniques barred the research community from focusing on lncRNA identification. …”
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289
Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning
Published 2022“…For sentiment analysis, pre-processing is a crucial step in the data preparation process. …”
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290
Shuffled Linear Regression with Erroneous Observations
Published 2019“…Existing methods are either applicable only to data with limited observation errors, work only for partially shuffled data, sensitive to initialization, and/or work only with small dimensions. …”
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conferenceObject -
291
A smart decentralized identifiable distributed ledger technology‐based blockchain (DIDLT‐BC) model for cloud‐IoT security
Published 2024“…In this case, the Rabin algorithm produces the digital signature needed to start the transaction. …”
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292
High-order parametrization of the hypergeometric-Meijer approximants
Published 2023“…<p>In this work, we introduce an extension to the hypergeometric algorithm we developed before for the resummation of divergent series.The extension overcome the time-consuming problem we face in the parametrization process of the hypergeometric approximants. …”
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293
XBeGene: Scalable XML Documents Generator by Example Based on Real Data
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conferenceObject -
294
Spatiotemporal Mapping and Monitoring of Mangrove Forests Changes From 1990 to 2019 in the Northern Emirates, UAE Using Random Forest, Kernel Logistic Regression and Naive Bayes Tr...
Published 2020“…The approach was developed based on random forest (RF), Kernel logistic regression (KLR), and Naive Bayes Tree machine learning algorithms which use multitemporal Landsat images. …”
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295
Low Cost Autopilot Design Using Fuzzy Supervisory Control
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doctoralThesis -
296
A stochastic PID controller for a class of MIMO systems
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297
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298
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299
Impacts of On-Grid Solar PV on Distribution Networks and Potential Solutions: A Case Study in the Region of Zahle
Published 2025“…For this purpose, the research develops a model for heavily PV DG-loaded distribution lines in Zahle. …”
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masterThesis -
300
Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast d...
Published 2020“…<h3>Objective</h3><p dir="ltr">To develop a machine-based algorithm from clinical and demographic data, physical activity and glucose variability to predict hyperglycaemic and hypoglycaemic excursions in patients with type 2 diabetes on multiple glucose lowering therapies who fast during Ramadan.…”