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Accelerated dinuclear palladium catalyst identification through unsupervised machine learning
Science, 2021Description Learning to stabilize palladium dimers Catalyst optimization is often difficult to do rationally. Once something works, it may be unclear which specific features underpin the performance.
Julian Alexander Hüffel +2 more
exaly +2 more sources
Feature Selection for Unsupervised Machine Learning
2023 IEEE 8th International Conference on Smart Cloud (SmartCloud), 2023Compared to supervised machine learning (ML), the development of feature selection for unsupervised ML is far behind. To address this issue, the current research proposes a stepwise feature selection approach for clustering methods with a specification to the Gaussian mixture model (GMM) and the k-means.
Huang, Huyunting +5 more
openaire +3 more sources
, 2021
Driving style can substantially impact mobility, safety, energy consumption, and vehicle emissions. While a range of methods has been used in the past for driving style classification, the emergence of connected vehicles equipped with communication ...
Amin Mohammadnazar +2 more
semanticscholar +1 more source
Driving style can substantially impact mobility, safety, energy consumption, and vehicle emissions. While a range of methods has been used in the past for driving style classification, the emergence of connected vehicles equipped with communication ...
Amin Mohammadnazar +2 more
semanticscholar +1 more source
Unsupervised machine learning in urban studies: A systematic review of applications
Cities, 2022.
J. Wang, Filip Biljecki
semanticscholar +1 more source
Identification of urban-rural integration types in China – an unsupervised machine learning approach
China Agricultural Economic Review, 2022PurposeDevelopment of urban-rural integration is essential to fulfill sustainable development goals worldwide, and comprehension about urban-rural integration types has been highlighted as increasingly relevant for an efficient policy design.
Qiyan Zeng, Xiaofu Chen
semanticscholar +1 more source
Journal of the American Society of Echocardiography, 2022
BACKGROUND The 2016 American Society of Echocardiography (ASE) guidelines have been widely used to assess left ventricular diastolic function. However, limitations are present in the current classification system.
C. Chao +6 more
semanticscholar +1 more source
BACKGROUND The 2016 American Society of Echocardiography (ASE) guidelines have been widely used to assess left ventricular diastolic function. However, limitations are present in the current classification system.
C. Chao +6 more
semanticscholar +1 more source
Unsupervised learning for Boltzman Machines
Network: Computation in Neural Systems, 1995Summary: An unsupervised learning algorithm for a stochastic recurrent neural network based on the Boltzmann Machine architecture is formulated in this paper. The maximization of the mutual information between the stochastic output neurons and the clamped inputs is used as an unsupervised criterion for training the network.
Deco, Gustavo, Parra, Lucas
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Autism screening: an unsupervised machine learning approach
Health Information Science and Systems, 2022Early screening of autism spectrum disorders (ASD) is a key area of research in healthcare. Currently artificial intelligence (AI)-driven approaches are used to improve the process of autism diagnosis using computer-aided diagnosis (CAD) systems.
Fadi Thabtah +6 more
openaire +2 more sources
Pressure pattern recognition in buildings using an unsupervised machine-learning algorithm
Journal of Wind Engineering and Industrial Aerodynamics, 2021Owing to its significance in ensuring structural safety and occupant comfort, wind pressure on buildings has attracted the attention of numerous scholars. However, the characteristics of wind pressures are usually complex.
Bubryur Kim +4 more
semanticscholar +1 more source
Supervised and Unsupervised Machine Learning based Review on Diabetes Care
2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021Sedentary lifestyle, poor diet and work pressure lead the diabetes disease which may cause several fatal health issues like heart attack, strokes, kidney failure, nerve damage etc. Diabetes can be effectively managed when caught early with high accuracy.
Tannu Chauhan +3 more
semanticscholar +1 more source