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How can entrepreneurs improve digital market segmentation? A comparative analysis of supervised and unsupervised learning algorithms
The identification of digital market segments to make value-creating propositions is a major challenge for entrepreneurs and marketing managers. New...
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Tool wear classification in precision machining using distance metrics and unsupervised machine learning
This article reports an unsupervised approach for estimation of the tool condition in precision machining processes. Three campaigns of...
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Engineering and evaluating an unsupervised predictive maintenance solution: a cold-forming press case-study
In real-world industries, production line assets may be affected by several factors, both known and unknown, which dynamically and unpredictably...
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End to End Unsupervised Learning-Based Endoscopic View Expansion
Endoscopic view limitation is a common issue in clinical surgery. This study proposes an end-to-end unsupervised deep learning network for endoscopic...
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Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis
Current unsupervised domain adaptation methods for intelligent fault diagnosis focus on learning domain-invariant representations under covariate...
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Global receptive field graph attention network for unsupervised domain adaptation fault diagnosis in variable operating conditions
While deep learning has advanced significantly in machinery diagnosis, models trained on source domain data struggle with real-world applications due...
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Unsupervised exceptional human action detection from repetition of human assembling tasks using entropy signal clustering
Applying Human Action Recognition (HAR) in manufacturing site to recognize the human assembling tasks, representing as repetitions of human actions,...
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Compactness score: a fast filter method for unsupervised feature selection
The rapid development of big data era incurs the generation of huge amount of data day by day in various fields. Due to the large-scale and...
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Unsupervised learning methods for efficient geographic clustering and identification of disease disparities with applications to county-level colorectal cancer incidence in California
Many public health policymaking questions involve data subsets representing application-specific attributes and geographic location. We develop and...
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Monitoring COVID-19 Cases and Vaccination in Indian States and Union Territories Using Unsupervised Machine Learning Algorithm
The worldwide spread of the novel coronavirus originating from Wuhan, China led to an ongoing pandemic as COVID-19. The disease being a contagion...
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The multisensor information fusion-based deep learning model for equipment health monitor integrating subject matter expert knowledge
Nowadays, the modern production machines are usually equipped with advanced sensors to collect the data which can be further analyzed because of the...
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Visual coating inspection framework via self-labeling and multi-stage deep learning strategies
An instantaneous and precise coating inspection method is imperative to mitigate the risk of flaws, defects, and discrepancies on coated surfaces....
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A novel image feature based self-supervised learning model for effective quality inspection in additive manufacturing
With the rapid development of additive manufacturing (AM) technology, quality inspection has become one of the most crucial research topics in...
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Big Data in Restaurant Management: Unsupervised Modelling of Ticket Data and Environmental Variables for Sales Forecasting
Revenue Management (RM) is one of the challenges facing the restaurant industry, mainly due to the lack of technology in this sector and the lack of...
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Automated assembly quality inspection by deep learning with 2D and 3D synthetic CAD data
In the manufacturing industry, automatic quality inspections can lead to improved product quality and productivity. Deep learning-based computer...
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An unsupervised defect detection model for a dry carbon fiber textile
Inspection of dry carbon textiles is a key step to ensure quality in aerospace manufacturing. Due to the rarity and variety of defects, collecting a...
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Production quality prediction of cross-specification products using dynamic deep transfer learning network
In the process of industrial production, products with different specifications (i.e., the difference in geometry, process conditions, and machine...
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Unsupervised deep representation learning for motor fault diagnosis by mutual information maximization
Data-driven deep learning technology has gained many achievements in the field of motor fault diagnosis and prognostics. However, the application...
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Advances in machine learning and deep learning applications towards wafer map defect recognition and classification: a review
With the high demand and sub-nanometer design for integrated circuits, surface defect complexity and frequency for semiconductor wafers have...
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A semi-supervised learning approach for variance reduction in life insurance
Monte-Carlo based valuation in life insurance involves the simulation of various components of the balance sheet: portfolios, guarantees, assets mix,...
