[HTML][HTML] The state-of-the-art on Intellectual Property Analytics (IPA): A literature review on artificial intelligence, machine learning and deep learning methods for …
L Aristodemou, F Tietze - World Patent Information, 2018 - Elsevier
Big data is increasingly available in all areas of manufacturing and operations, which
presents an opportunity for better decision making and discovery of the next generation of …
presents an opportunity for better decision making and discovery of the next generation of …
[HTML][HTML] Exposing emerging trends in smart sustainable city research using deep autoencoders-based fuzzy c-means
The literature discussing the concepts, technologies, and ICT-based urban innovation
approaches of smart cities has been growing, along with initiatives from cities all over the …
approaches of smart cities has been growing, along with initiatives from cities all over the …
Large-scale industrial energy systems optimization under uncertainty: A data-driven robust optimization approach
In the large-scale industries, optimization of multi-type energy systems to minimize the total
energy cost is of great importance and has received worldwide attentions. In the real …
energy cost is of great importance and has received worldwide attentions. In the real …
Topic-based technology mapping using patent data analysis: A case study of vehicle tires
The analysis of patent certificates for the purpose of determining the technologies of an
industry is a method that has been used by experts and researchers of technology …
industry is a method that has been used by experts and researchers of technology …
[PDF][PDF] The clustering validity with silhouette and sum of squared errors
T Thinsungnoena, N Kaoungkub… - …, 2015 - pdfs.semanticscholar.org
The data clustering with automatic program such as k-means has been a popular technique
widely used in many general applications. Two interesting sub-activity of clustering process …
widely used in many general applications. Two interesting sub-activity of clustering process …
[HTML][HTML] A comprehensive approach for the clustering of similar-performance cells for the design of a lithium-ion battery module for electric vehicles
An energy-storage system comprised of lithium-ion battery modules is considered to be a
core component of new energy vehicles, as it provides the main power source for the …
core component of new energy vehicles, as it provides the main power source for the …
A hybrid approach for data clustering based on modified cohort intelligence and K-means
Clustering is an important and popular technique in data mining. It partitions a set of objects
in such a manner that objects in the same clusters are more similar to each another than …
in such a manner that objects in the same clusters are more similar to each another than …
Regrouping and echelon utilization of retired lithium-ion batteries based on a novel support vector clustering approach
To avoid severe resource waste and environmental pollution problems, research on the
retirement of power lithium-ion batteries (LIBs) for electric vehicles (EVs) has attracted …
retirement of power lithium-ion batteries (LIBs) for electric vehicles (EVs) has attracted …
Patent document clustering with deep embeddings
The analysis of scientific and technical documents is crucial in the process of establishing
science and technology strategies. One popular method for such analysis is for field experts …
science and technology strategies. One popular method for such analysis is for field experts …
Science foresight using life-cycle analysis, text mining and clustering: A case study on natural ventilation
Science foresight comprises a range of methods to analyze past, present and expected
research trends, and uses this information to predict the future status of different fields of …
research trends, and uses this information to predict the future status of different fields of …