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A novel technology life cycle analysis method based on LSTM and CRF
Technology life cycle (TLC) analysis provides essential support for investment-related strategies and helps to technology trajectory tracing,...
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Portraying the life cycle of ideas in social psychology through functional (textual) data analysis: a toolkit for digital history
This paper presents a method for the digital history of a discipline (social psychology in this application) through the analysis of scientific...
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Noe: Norm Emergence and Robustness Based on Emotions in Multiagent Systems
Social norms characterize collective and acceptable group conducts in human society. Furthermore, some social norms emerge from interactions of...
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Remaining useful life prediction based on spatiotemporal autoencoder
Remaining Useful Life (RUL) prediction has received a lot of attention as the core of prognostics and health management (PHM) technology. Deep...
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A Norm Emergence Framework for Normative MAS – Position Paper
Norm emergence is typically studied in the context of multiagent systems (MAS) where norms are implicit, and participating agents use simplistic...
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A novel spatio-temporal hybrid neural network for remaining useful life prediction
Remaining useful life (RUL) prediction is a crucial mission for the prognostic and health management (PHM) of machinery equipment in modern industry....
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A Comprehensive Analysis of Lower Extremity Based Gait Cycle Disorders and Muscle Analysis
This research focuses on muscle weakness in the lower extremity and related gait problems. Gait cycle disorder is an important issue in the human...
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The Effectiveness of a Blended Learning-Based Life Design Course: Implications of Instruction and Application of Technology
PurposeDue to the outbreak of the COVID-19 pandemic in 2021 in Taiwan, we have adapted the face-to-face Life Design course to a blended learning...
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Accurate remaining useful life estimation of lithium-ion batteries in electric vehicles based on a measurable feature-based approach with explainable AI
As Electric Vehicles (EVs) become increasingly prevalent, accurately estimating Lithium-ion Batteries (LIBs) Remaining Useful Life (RUL) is crucial...
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A MLP-Mixer and mixture of expert model for remaining useful life prediction of lithium-ion batteries
Accurately predicting the Remaining Useful Life (RUL) of lithium-ion batteries is crucial for battery management systems. Deep learning-based methods...
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A transformer with layer-cross decoding for remaining useful life prediction
Remaining useful life (RUL) prediction is critical for industrial equipment status detection, and the accurate prediction results provide...
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Evolutionary Optimization of Convolutional Extreme Learning Machine for Remaining Useful Life Prediction
Remaining useful life (RUL) prediction is a key enabler for making optimal maintenance strategies. Data-driven approaches, especially employing...
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Norm Violation in Online Communities – A Study of Stack Overflow Comments
Norms are behavioral expectations in communities. Online communities are also expected to abide by the established practices that are expressed in...
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Norm emergence in multiagent systems: a viewpoint paper
Norms are utilised in agent societies to encourage acceptable behaviour by the participating agents. They can be established or revised from the...
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Multi-scale memory-enhanced method for predicting the remaining useful life of aircraft engines
To guarantee the safe operation of machinery and reduce its maintenance costs, estimating its remaining useful life (RUL) is a crucial task. Hence,...
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MMoE-GAT: A Multi-Gate Mixture-of-Experts Boosted Graph Attention Network for Aircraft Engine Remaining Useful Life Prediction
Accurately estimating remaining useful life (RUL) is critical to reducing unplanned downtime, lowering maintenance costs, and improving safety and...
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Aero-Engine Remaining Useful Life Prediction via Tensor Decomposition Method
Aiming at the problems of low accuracy and long calculation time of remaining useful life (RUL) prediction of aero-engine by the data-driven method,...
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Possibilities and Research Issues for Measuring Human Emotions in Real Life
We would like to provide systems and services that contribute to people’s well-being by capturing emotional responses using bio-signals that can be...
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Problem Modelling for Sustainability in the Business Environment by Linking TRIZ and Systems Engineering
Sustainability has become more important nowadays. Due to the volatility in raw material and energy supplies, together with increasing market...
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Digital Twins for Condition Assessment of Railway Infrastructures
The railway infrastructure includes vital assets that serve economic and social functions, such as bridges, tunnels, embankments, and rail tracks....