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Algorithms for the management of scars: the importance of systematizing behaviors
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A Systematic Review and Evaluation of Sustainable AI Algorithms and Techniques in Healthcare
Published 2025-01-01“…Concerns regarding energy use, environmental effects, and long-term sustainability have been highlighted in recent years by the expanding application of Artificial Intelligence (AI) in healthcare. This systematic review paper categorizes and classifies AI algorithms and tools in the healthcare sector to support more sustainable practices, focusing on reducing energy use while maintaining high standards in diagnostic accuracy and patient outcomes. …”
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Software Defect Prediction Based On Deep Learning Algorithms : A Systematic Literature Review
Published 2025-06-01“…A comprehensive review of studies in this area was completed to answer the research questions and summarize the results from the initial investigations. 30 primary studies that passed the systematic review quality assessment of the studies were used. …”
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Artificial Intelligence With Neural Network Algorithms in Pediatric Astrocytoma Diagnosis: A Systematic Review
Published 2025-02-01“…Recent advancements in artificial intelligence (AI), particularly neural network algorithms, have been studied for their precision and efficiency in medical diagnostics via effectively analyzing imaging data to identify patterns and anomalies.Objective: To systematically review AI-based diagnostic tools with neural network algorithms’ methodologies, sensitivities, specificities, and potential clinical integration for pediatric astrocytoma, providing a consolidated perspective on their overall performance and impact on clinical decision-making.Methods: As per PRISMA 2020 guidelines, we conducted a comprehensive search in PubMed, Scopus, and ScienceDirect on February 5, 2024. …”
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A systematic algorithm using 16S ribosomal RNA for accurate diagnosis of pneumonia pathogens
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A systematic review of reinforcement learning-based control for microgrids: trends, challenges, and emerging algorithms
Published 2025-08-01“…A comparative analysis based on performance of RL algorithms, and RL based control with other types of control frameworks is also systematically presented. …”
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Exploring machine learning algorithms in sickle cell disease patient data: A systematic review
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Quantum algorithms and complexity in healthcare applications: a systematic review with machine learning-optimized analysis
Published 2025-05-01“…This paper presents a systematic review of quantum computing approaches to healthcare-related computational problems, with an emphasis on quantum-theoretical foundations and algorithmic complexity. …”
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Machine Learning Approaches for Predicting Employee Turnover: A Systematic Review
Published 2025-08-01Subjects: Get full text
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Medication for bone loss in female patients with anorexia nervosa: a systematic review and management algorithm
Published 2025-08-01“…Level of evidence Level I, systematic review…”
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A Systematic Literature Review on Machine Learning Algorithms for the Detection of Social Media Fake News in Africa
Published 2025-06-01“…As such, this study sought to identify effective ML classifiers to detect fake news on social media platforms, and the systematic literature review followed the PRISMA standard. …”
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Systematic Review and Meta-Analysis on the Accuracy of Artificial Intelligence Algorithms in Individuals Gender Detection Using Orthopantomograms
Published 2025-06-01“…One emerging application of AI is in determining gender from these radiographs, a task traditionally performed by forensic experts using manual methods. This systematic review and meta-analysis aim to evaluate the accuracy of AI algorithms in gender determination using OPGs, focusing on the reliability and potential clinical and forensic applications of these technologies. …”
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Exploration and Exploitation Mechanism in Pairwise Test Case Generation: A Systematic Literature Review
Published 2025-01-01“…Pairwise testing, a combinatorial testing methodology, optimizes test case generation by minimizing redundancy while maintaining defect detection effectiveness. This review systematically examines the role of metaheuristic algorithms in pairwise test case generation, focusing on their exploration and exploitation mechanisms to address local optima challenges. …”
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Machine Learning and Metaheuristics Approach for Individual Credit Risk Assessment: A Systematic Literature Review
Published 2025-05-01“…It categorizes the use of machine learning algorithms, feature selection methods, and metaheuristic optimization techniques, including genetic algorithms, particle swarm optimization, and biogeography-based optimization. …”
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Optimization and Trends in EV Charging Infrastructure: A PCA-Based Systematic Review
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AI-Driven Predictive Maintenance in Mining: A Systematic Literature Review on Fault Detection, Digital Twins, and Intelligent Asset Management
Published 2025-03-01“…As a response, industries are integrating predictive monitoring technologies, including machine learning, the Internet of Things, and digital twins, to enhance early fault detection and optimize maintenance strategies. This Systematic Literature Review analyzes 166 high-impact studies from Scopus and Web of Science, identifying key trends in fault detection algorithms, hybrid AI models, and real-time monitoring techniques. …”
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A deep learning framework for gender sensitive speech emotion recognition based on MFCC feature selection and SHAP analysis
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