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Data-Driven Decision Making for Product Service Systems
This book is a compilation of theoretical and practical contributions aimed at facilitating the servitization of manufacturing companies,...
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Data-Driven Decision Making for Product Service Systems
This book is a compilation of theoretical and practical contributions aimed at facilitating the servitization of manufacturing companies,...
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Data-Driven Direct Adaptive Risk-Sensitive Control of Stochastic Systems
The authors propose a data-driven direct adaptive control law based on the adaptive dynamic programming (ADP) algorithm for continuous-time...
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The role of big data analytics capability in the telecommunication sector of Pakistan: the chain mediating effect of data integration capability and data-driven decision making
The current study aimed to explain the effect of big data analytics capabilities on firm performance in the telecommunication sector of Pakistan. The...
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A data-driven crop model for maize yield prediction
Accurate estimation of crop yield predictions is of great importance for food security under the impact of climate change. We propose a data-driven...
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Data-Driven Overlap**-Track Profile Modeling in Cold Spray Additive Manufacturing
Cold spray additive manufacturing is an emerging solid-state deposition process that enables large-scale components to be manufactured at...
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Data-driven, connectome-wide analysis identifies psychosis-specific brain correlates of fear and anxiety
Decades of psychosis research highlight the prevalence and the clinical significance of negative emotions, such as fear and anxiety. Translational...
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Data-driven quantification and intelligent decision-making in traditional Chinese medicine: a review
Traditional Chinese medicine (TCM) originates from the practical experience of human beings’ constant struggle with nature. In five thousand years,...
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A data-driven approach to RUL prediction of tools
An effective and reliable prediction of the remaining useful life (RUL) of a tool is important to a metal forming process because it can...
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Data-driven energy landscape reveals critical genes in cancer progression
The evolution of cancer is a complex process characterized by stable states and transitions among them. Studying the dynamic evolution of cancer and...
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Data-driven Dirichlet sampling on manifolds for structural health monitoring
The practical limitation of applying machine learning to structural health monitoring (SHM) is the availability of sufficient experimental data for...
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Driver-centric data-driven robust model predictive control for mixed vehicular platoon
The penetration rate of automated vehicles (AVs) may remain unsaturated for a long time, resulting in the coexistence of AVs and human-driven...
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Improving supply chain planning for perishable food: data-driven implications for waste prevention
Waste in the perishable food supply chain is a challenge that data-driven forecasting methods can tackle. However, integrating such methods in supply...
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Data-driven agriculture and sustainable farming: friends or foes?
Sustainability in our food and fiber agriculture systems is inherently knowledge intensive. It is more likely to be achieved by using all the...
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Co-designing Data-Driven Educational Technology and Practice: Reflections from the Japanese Context
This paper explores co-design in Japanese education for deploying data-driven educational technology and practice. Although there is a growing...
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Solving data-driven newsvendor problem with textual reviews through deep learning
The production decision of a large commodity or equipment manufacturing enterprise can be modeled as a newsvendor problem. Managers must determine...
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Data-knowledge driven: a new learning strategy for iris recognition
This article focuses on the issues of poor interpretability and low universality of traditional iris recognition models in unsteady states. It...
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Thermal error prediction of ball screws in full-time series using working condition data based on a mechanism and data hybrid-driven model
The ball screw is a vital component in the feed drive systems of machine tools. It is susceptible to thermal errors that significantly impact its...
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Trajectory Data-Driven Network Representation for Traffic State Prediction using Deep Learning
In this study, we propose a trajectory data-driven network representation method, specifically leveraging directional statistics. This approach...
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Data-driven Iterative Learning Model Predictive Control for Pneumatic Muscle Actuators
Iterative learning control (ILC) has been considered as a promising alternative for the control of pneumatic muscle actuator (PMA). However, this...