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Big data and predictive analytics: A systematic review of applications
Big data involves processing vast amounts of data using advanced techniques. Its potential is harnessed for predictive analytics, a sophisticated...
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Big Data Analytics-based life cycle sustainability assessment for sustainable manufacturing enterprises evaluation
Recently, governments and organizations have repeatedly pressed manufacturing enterprises to promote the ethical and transparent use of natural...
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A survey of long short term memory and its associated models in sustainable wind energy predictive analytics
Sustainable energy is the new normal towards saving the environment, thus resources generating sustainable green energy have gained global attention....
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A predictive analytics framework for sensor data using time series and deep learning techniques
IoT devices convert billions of objects into data-generating entities, enabling them to report status and interact with their surroundings. This data...
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Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring
As data-driven intelligent systems advance, the need for reliable and transparent decision-making mechanisms has become increasingly important....
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A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics
In this paper, we propose an Intelligent Decision Support System (IDSS) for the design of new textile fabrics. The IDSS uses predictive analytics to...
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Predictive Analytics for Targeting Decisions
Predictive Analytics (PA) models are assuming increasing role in the world of big data for making decisions in many industries – marketing, banking,...
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Discovering Actionable Knowledge for Industry 4.0: From Data Mining to Predictive and Prescriptive Analytics
Making sense of the vast amounts of data generated by modern production operations—and thus realizing the full potential of digitization—requires...
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Challenges and Issues in Implementing & Operationalising Big Data Analytics Capabilities in a major Australian Railway Organisation: A Case Study
This study examines the implementation of a Big Data Analytics (BDA) project within a major Australian freight and railway organisation. It also...
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Supporting Data Analytics in Manufacturing with a Digital Assistant
The shortage of skilled workers is a barrier to applying data analytics. Augmented analytics is an approach to lower it by using machine learning to...
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Big Data Analytics
This chapter introduces the dynamic domain of big data analytics, illuminating its multifaceted aspects and profound significance. It commences by...
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Applying Predictive Analytics Algorithms to Support Sales Volume Forecasting
Caompanies struggle with predictive analytics (PA), which aims to be a “modern” crystal ball. But how does one choose the “right” algorithms? Based...
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Bridging the Operationalization Gap: Towards a Situational Approach for Data Analytics in Manufacturing SMEs
The emergence of Industry 4.0 (I4.0) technologies has significant implications for small and medium-sized enterprises (SMEs) in the manufacturing...
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Adopting a Deep Learning Split-Protocol Based Predictive Maintenance Management System for Industrial Manufacturing Operations
This paper presents the best computational modeling (AI/ML and Quantum Computing) methods to predict the performance optimization of predictive...
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Hybrid Data-Driven and Knowledge-Based Predictive Maintenance Framework in the Context of Industry 4.0
The emergence of Industry 4.0 has heralded notable progress in manufacturing processes, utilizing sophisticated sensing and data analytics...
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Enhancing manufacturing process by predicting component failures using machine learning
Manufacturers customize computer components upon receipt of sale orders. They perform burn-in tests on each unit of product before shipment to ensure...
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AI-Driven cardiac wellness: Predictive modeling for elderly heart health optimization
The integration of the Internet of Things with the Cloud improves our lives by facilitating smooth connections between people and items. Predictive...
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Using SAP Predictive Analytics to Analyze Individual Student Profiles in LMS Moodle
The article is devoted to an important today’s issue - the analysis of a student’s digital footprint. The authors present their experience in...
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Datafication Analytics
Datafication analytics analyzes data sets to draw a conclusion and gain insights from the data. It uses statistical models and computational...
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Enabling real time big data solutions for manufacturing at scale
Today we create and collect more data than we have in the past. All this data comes from different sources, including social media platforms, our...
