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A conceptual framework for multi-objective optimization of building performance: Integrating intelligent algorithms, simulation tools, and climate adaptation
Published 2025“…This study systematically examined recent research trends in multi-objective optimization (MOO) for building performance from 2020 to 2024 and proposed a conceptual framework integrating intelligent algorithms, simulation tools, and climate adaptation strategies. …”
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Application of phi (Φ), the golden ratio, in computing: a systematic review
Published 2024“…The Golden Ratio (φ) has intrigued researchers for centuries due to its widespread presence in both nature and science. This article systematically examines φ’s diverse applications in computing, focusing on its role in enhancing visual appeal, optimizing algorithms, system design, and influencing fields such as biometrics, machine intelligence, and engineering. …”
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Ozone Concentration Forecasting Based on Artificial Intelligence Techniques: A Systematic Review
Published 2023“…Decision trees; Forecasting; Multilayer neural networks; Ozone; Predictive analytics; Support vector machines; Artificial intelligence techniques; Machine learning techniques; Multi layer perceptron; Optimization approach; Ozone concentration forecasting; Prediction accuracy; Stand-alone algorithm; Tropospheric ozone concentration; Learning systems; ozone; air quality; algorithm; concentration (composition); machine learning; optimization; ozone; prediction; theoretical study; air pollutant; air quality; artificial intelligence; artificial neural network; concentration (parameter); decision tree; feed forward neural network; forecasting; fuzzy system; human; measurement accuracy; multilayer perceptron; prediction; random forest; recurrent neural network; Review; support vector machine; systematic review…”
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Systematic review on Artificial Intelligence (AI) enabled insurance sector
Published 2025“…Eventually the study concludes with the future of AI applications in insurance and suggests solutions in line with data privacy, technical barriers, and algorithmic bias.…”
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Y-type Random 2-satisfiability In Discrete Hopfield Neural Network
Published 2024“…In the current development of Artificial Intelligence, Satisfiability plays a crucial role as a symbolic language of Artificial Intelligence for the transparency of black box models. …”
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Marine Predator Algorithm and Related Variants: A Systematic Review
Published 2025“…The Marine Predators Algorithm (MPA) is classified under swarm intelligence methods based on its type of inspiration. …”
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Multi-objective Hybrid Election Algorithm For Random K Satisfiability In Discrete Hopfield Neural Network
Published 2023“…In this regard, this thesis proposed a hybridized algorithm named Hybrid Election Algorithm that can well maintain the exploration-exploitation strategy.…”
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Marine Predator Algorithm and Related Variants: A Systematic Review
Published 2025“…—The Marine Predators Algorithm (MPA) is classified under swarm intelligence methods based on its type of inspiration. …”
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A systematic review of machine learning techniques and applications in soil improvement using green materials
Published 2023“…The current study aims to comprehensively evaluate recent breakthroughs in machine learning algorithms for soil improvement using a systematic procedure known as PRISMA and meta-analysis. …”
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Systematic review on ai-blockchain based e-healthcare records management systems
Published 2022“…Finally, the emphasized taxonomy combines blockchain and artificial intelligence, which enables us to analyze possible blockchain and artificial intelligence applications in health records management systems. …”
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Systematic review on ai-blockchain based e-healthcare records management systems
Published 2022“…Finally, the emphasized taxonomy combines blockchain and artificial intelligence, which enables us to analyze possible blockchain and artificial intelligence applications in health records management systems. …”
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A systematic review of machine learning techniques and applications in soil improvement using green materials
Published 2023“…The current study aims to comprehensively evaluate recent breakthroughs in machine learning algorithms for soil improvement using a systematic procedure known as PRISMA and meta-analysis. …”
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Ethical implications of artificial intelligence in nursing care: a systematic literature review from an Islamic perspective
Published 2025“…While AI has significantly advanced patient care, clinical workflows, and medical research, there remains a lack of literature exploring AI’s ethical implications in nursing through the lens of Islamic values. This systematic literature review examines the ethical considerations of integrating artificial intelligence (AI) in nursing practice from an Islamic ethical perspective. …”
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Tacit knowledge for business intelligence framework using cognitive-based approach
Published 2022“…This work presents a systematic approach for capturing tacit knowledge to be used in a business intelligence framework. …”
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Trends on technologies and artificial intelligence in education for personalized learning: systematic literature review
Published 2022“…To gain a better understanding of the concept and implementation of a personalized learning environment employing AI technology, a systematic literature review (SLR) was conducted to identify the trends of technologies and Artificial Intelligence in Education (AIEd) in promoting personalized learning. …”
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Performance Enhancement Of Artificial Bee Colony Optimization Algorithm
Published 2013“…Artificial Bee Colony (ABC) algorithm is a recently proposed bio-inspired optimization algorithm, simulating foraging phenomenon of honeybees. …”
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A systematic literature review on the application of artificial intelligence in enhancing care for kidney diseases patients
Published 2024“…The objective of the research is to systematically evaluate AI technology in CKD from a patient-centered perspective of care improvement for patients with CKD. …”
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Mathematical formulation of tabu search in combinatorial optimization
Published 2008“…This study is to develop Reactive Tabu Search (RTS) heuristics for solving CARP. Our RTS algorithm allows for dynamic tabu list rather than static tabu list as being practiced in TS algorithm. …”
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