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561
Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
Published 2025“…We evaluated thirteen machine learning models at each stage, selecting the top-performing classifiers to optimize results. The dataset comprised 535 samples across seven MRS severity levels and was validated using 5-fold cross-validation and diverse subgroups to ensure robust model performance across various scenarios. …”
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562
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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563
Dynamic multiple node failure recovery in distributed storage systems
Published 2018“…We present a range of results for our proposed algorithms in several scenarios to assess the effectiveness of the solution approaches that are shown to generate results close to optimal.…”
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article -
564
Artificial intelligence models for predicting the mode of delivery in maternal care
Published 2025“…Five machine learning algorithms were evaluated: XGBoost, AdaBoost, random forest, decision tree, and multi-layer perceptron (MLP) classifier. …”
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565
Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning
Published 2025“…Subsequently, state-of-the-art research that envisions the use of clustering-based machine learning and deep learning-based solutions for PGP is presented. …”
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566
Tuning of a fuzzy logic power system stabilizer using geneticalgorithms
Published 1997“…The proposed approach uses genetic algorithms (GA) to search for optimal or near optimal settings of fuzzy logic power system stabilizer (FLPSS) parameters. …”
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567
Work in Progress: Enhancing Sewage Systems Monitoring Through the Integration of Optical Fibre Sensors in IoT
Published 2024“…The proposed platform leveragescompression algorithms and edge devices to optimize data communication. …”
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568
Predicting Android Malware Using Evolution Networks
Published 2025“…We combine this model with genetic algorithms to optimize its parameters and return the best state transition probabilities, and we predict future malware accordingly. …”
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masterThesis -
569
SemIndex: Semantic-Aware Inverted Index
Published 2017“…Preliminary results have demonstrated the effectiveness, scalability and optimality of our approach.…”
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conferenceObject -
570
A fine-grained XML structural comparison approach
Published 2007“…Our approach consists of two main algorithms for discovering the structural commonality between sub-trees and computing tree-based edit operations costs. …”
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conferenceObject -
571
An XML Document Comparison Framework
Published 2001“…As the Web continues to grow and evolve, more and more information is being placed in structurally rich documents, XML documents in particular, so as to improve the efficiency of similarity clustering, information retrieval and data management applications. Various algorithms for comparing hierarchically structured data, e.g., XML documents, have been proposed in the literature. …”
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572
A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques
Published 2022“…The findings include that the main research area in phishing detection studies is feature extraction and selection, followed by methods for classifying and optimizing the detection of phishing emails. Amongst the range of classification algorithms, support vector machines (SVMs) are heavily utilised for detecting phishing emails. …”
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573
Distinguishing Between Fake and Real Smiles Using EEG Signals and Deep Learning
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doctoralThesis -
574
Current trends and future orientation in diagnosing lung pathologies: A systematic survey
Published 2025“…Additionally, it emphasized the necessity for further research to optimize their performance and clinical usefulness.…”
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article -
575
Deep and transfer learning for building occupancy detection: A review and comparative analysis
Published 2022“…Moreover, the paper conducted a comparative study of the readily available algorithms for occupancy detection to determine the optimal method in regards to training time and testing accuracy. …”
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576
Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan
Published 2017“…Different classification algorithms were applied to the dataset using the Rapidminer tool. …”
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