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Mitigating Cyber Risks in AI-Driven Circular Economy Implementations
Published 2024-12-01“…It highlights how AI-driven innovations such as predictive maintenance, waste sorting, and big data analytics contribute to the effective implementation of CE principles. …”
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202
Review of monitoring systems for stored grains in a modified atmosphere
Published 2025-02-01“…Monitoring systems in combination with measured data analytics can help to prevent insect or mold damage to stored grains, whatever the storage technique used. …”
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203
Customer Behavior Analysis and Predictive Modeling in Supermarket Retail: A Comprehensive Data Mining Approach
Published 2025-01-01“…Leveraging advanced data analytics techniques, our methodology encompasses data preprocessing, exploratory data analysis, feature engineering, model selection, and evaluation. …”
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204
A Literature Review of Recent Advances on Innovative Computational Tools for Waste Management in Smart Cities
Published 2025-01-01“…Leveraging computational tools such as artificial intelligence, Internet of Things, and big data analytics, smart waste management systems enable real-time monitoring, predictive modeling, and optimization of waste-related operations. …”
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Developing Data-Driven QFD: A Systemic Approach to Employing Product Manuals and Customer Reviews
Published 2025-01-01“…Despite the importance of data analytics, quality function deployment (QFD) development remains both qualitative and expert-driven. …”
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Assessing Theoretical Frameworks, Human Resources Management Implications and Emerging Technologies on the Water, Energy and Food (WEF) Nexus
Published 2021-12-01“…Furthermore, the study revealed the three major emerging technologies of Artificial Intelligence, Big data analytics, and Internet of Things (IoT), which are shaping the WEF nexus through innovations and shaping the nature of the nexus. …”
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The financial impact of human resources configuration: A quantitative analysis based on modified single candidate optimizer
Published 2025-03-01“…The framework integrates big data analytics and system analysis to establish a quantitative management strategy for optimizing HR configurations. …”
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216
Cricketing Insights Unveiled: Python-Based Information Extraction from IPL
Published 2024-12-01“…In today’s data-driven world, the importance of data analytics is growing exponentially. Data analysis aims to extract valuable insights from large datasets and facilitate informed decision-making. …”
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217
Battery Prognostics and Health Management: AI and Big Data
Published 2024-12-01“…By harnessing technologies such as big data analytics, cloud computing, the Internet of Things (IoT), and deep learning, AI provides robust, data-driven solutions for capturing and predicting battery degradation. …”
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218
Condition monitoring and multi-fault classification of hydraulic systems using multivariate functional data analysis
Published 2025-01-01“…The fault diagnosis of complex nonlinear systems, such as hydraulic systems, has become increasingly important due to advancements in big data analytics, machine learning (ML), Industry 4.0, and Internet of Things (IoT) applications. …”
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A Novel Clustering Technique for Efficient Clustering of Big Data in Hadoop Ecosystem
Published 2019-12-01“…Big data analytics and data mining are techniques used to analyze data and to extract hidden information. …”
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An embedded intrusion detection and prevention system for home area networks in advanced metering infrastructure
Published 2023-05-01“…Detecting anomalies in power consumption and communication is primarily a real‐time big data analytics issue regarding data mining along with a vast number of parallel streaming data from smart metres. …”
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