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Comparative Study on Arabic Text Classification: Challenges and Opportunities
Published 2022“…Based on the reviewed researches, SVM and Naive Bayes were the most widely used classifiers for Arabic text classification, while more effort is needed to develop and to implement flexible Arabic text classification methods and classifiers.…”
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Recovery of business intelligence systems
Published 2018“…It is about six times faster than the most recent proposed algorithm. In the worst case, the proposed algorithm takes 8.81 ms to discover the damaged part of the database; however, the fastest recent algorithm requires 50.91 ms. …”
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Assessment of static pile design methods and non-linear analysis of pile driving
Published 2006“…Scientific advances in pile analysis have been made in recent decades but their implementation in the estimation of axial capacity has been slow. …”
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EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING
Published 2020“…The problem of partitioning appears in several areas ranging from VLSI, parallel programming, to molecular biology. The interest in finding an optimal partitioning especially in VLSI, and has been a hot issue in recent years. …”
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General iterative heuristics for VLSI multiobjective partitioning
Published 2003“…The problem of partitioning appears in several areas ranging from VLSI, parallel programming, to molecular biology. The interest in finding an optimal partition especially in VLSI has been a hot issue in recent years. …”
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The monotone circuit value problem with bounded genus is in NC
Published 2017“…Our algorithm generalizes a recent result by Limaye et al. who showed that MCVP with toroidal embedding (genus 1) is in NC when the input contains a toroidal embedding of the circuit. …”
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LDSVM: Leukemia Cancer Classification Using Machine Learning
Published 2022“…The main aim was to predict the initial leukemia disease. Machine learning algorithms such as decision tree (DT), naive bayes (NB), random forest (RF), gradient boosting machine (GBM), linear regression (LinR), support vector machine (SVM), and novel approach based on the combination of Logistic Regression (LR), DT and SVM named as ensemble LDSVM model. …”
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Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast Cancer
Published 2021“…Our data provides a step towards finding a novel diagnostic lncRNA-based panel for TNBC with potential therapeutic implications.…”
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Optimal Routing Protocol in Multimedia Wireless Sensor Networks
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doctoralThesis -
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Mobile robots obstacles avoidance using dynamic window approach
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Oversampling techniques for imbalanced data in regression
Published 2024“…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …”
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Brain Source Localization in the Presence of Leadfield Perturbations
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Analyzing the Influence of Climate and Anthropogenic Development on Vegetation Cover in the Coastal Ecosystems of GCC
Published 2025“…We used Landsat satellite imagery and a Random Forest classification algorithm to map various land cover classes along the GCC coastline. …”
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Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE
Published 2020“…The novel LSTM time series algorithm proved to work best for demand forecasting. …”
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Artificial Intelligence and Machine Learning Applications in Sudden Cardiac Arrest Prediction and Management: A Comprehensive Review
Published 2023“…The objectives are to understand the role of AI and ML in healthcare, specifically in medical diagnosis, statistics, and precision medicine, and to explore their applications in predicting and managing sudden cardiac arrest outcomes, especially in the context of prehospital emergency care.</p><h3>Recent Findings</h3><p dir="ltr">The role of AI and ML in healthcare is expanding, with applications evident in medical diagnosis, statistics, and precision medicine. …”
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A smart decentralized identifiable distributed ledger technology‐based blockchain (DIDLT‐BC) model for cloud‐IoT security
Published 2024“…The primary purpose of the Blockchain Consent Algorithm (BCA) is to find solutions for numerous unreliable nodes with varying hash values. …”
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The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs
Published 2023“…<p dir="ltr">Recent advances in quantum computing and machine learning have brought about a promising intersection of these two fields, leading to the emergence of quantum machine learning (QML). …”
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Using Text Mining and Clustering Techniques on Tweets to Discover Trending Topics in Dubai
Published 2015“…Tweets corpus of Dubai were collected, they were presented through the bag of words model using TF-IDF weighting scheme, after that the output of text transformation was introduced to k-means clustering algorithm with cosine similarity measure. Findings indicate that heuristic evaluation techniques are not so helpful in this domain; also, the model has generated interesting clusters about trending topics and events in Dubai. …”
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