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Development of a Human-Centric Knowledge Management Framework Through the Integration Between PLM and MES
Data management systems represent a powerful tool for collecting and managing real-time data in a company. One-of-a-Kind Production (OKP) firms,...
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MES-Net: a new network for retinal image segmentation
Glaucoma, diabetic retinopathy, and other eye diseases have seriously threatened people’s visual health. Whether it is clinical diagnosis or...
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Application Research of MES in Intelligent Manufacturing Training Factory
With the continuous impact of the epidemic, the decline of the demographic dividend and the intensification of market competition, the traditional...
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Integration Framework of MES Toward Data Security Interoperation
The core problem of the application of MES (Manufacturing Execution System) in intelligent manufacturing systems is integration, which solves the...
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Building an AI Support Tool for Real-Time Ulcerative Colitis Diagnosis
Ulcerative Colitis (UC) is a chronic inflammatory bowel disease decreasing life quality through symptoms such as bloody diarrhoea and abdominal pain....
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An Adaptive and Verifiably Proportional Method for Participatory Budgeting
Participatory Budgeting (PB) is a form of participatory democracy in which citizens select a set of projects to be implemented, subject to a budget...
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Identity-invariant representation and transformer-style relation for micro-expression recognition
Micro-expression recognition (MER) is a challenging task due to the subtle changes of facial muscle movements in a short duration. These muscle...
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Influence of adaptive coupling points on coalition formation in multi-energy systems
The share and variants of coupling points (CPs) between different energy carrier networks (such as the gas or power grids) are increasing, which...
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Machine learning and non-machine learning methods in mathematical recognition systems: Two decades’ systematic literature review
Tools based on machine learning (ML) have seen widespread application in the prediction and categorization of mathematical symbols and phrases. The...
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Learning discriminative features for micro-expression recognition
Micro-expressions (MEs) have subtle facial muscle movements, and fully extracting the movement features is crucial to recognizing MEs. However, the...
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Business Process Management for MES Deployment: Some Lessons from a Bearings Manufacturer Experience
Industrial company’s physical production and information systems have to be adapted in the digital transition context from the automatized Industry...
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Image Captioning for Automated Grading and Understanding of Ulcerative Colitis
Ulcerative colitis (UC) is a chronic inflammatory disease of the large bowel characterised by quisent periodes and relapses. Endoscopic grading of...
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Micro-expression spotting network based on attention and one-dimensional convolutional sliding window
In the field of computer vision, the research on micro-expression (ME) can be divided into two main tasks: ME spotting and ME recognition. ME...
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Micro-expression Recognition Based on PCB-PCANet+
Micro-expressions (MEs) have the characteristics of small motion amplitude and short duration. How to learn discriminative ME features is a key issue...
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User-Friendly MES Interfaces: Recommendations for an AI-Based Chatbot Assistance in Industry 4.0 Shop Floors
The purpose of this paper is to study an Industry 4.0 scenario of ‘technical assistance’ and use manufacturing execution systems (MES) to address...
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Are my answers medically accurate? Exploiting medical knowledge graphs for medical question answering
Poor health is one of the fundamental causes behind the suffering and deprivation of human beings. One of the United Nations (UN) Sustainable...
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Integration of PLM, MES and ERP Systems to Optimize the Engineering, Production and Business
In the era of Industry 4.0, the key factor for the success of a company is the cooperation among its different departments in order to share...
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Manufacturing Execution System as an Integration Backbone for Industry 4.0
Manufacturing Execution System (MES) has been applied to plan and manage production on the shop floor level. Some of its functions include monitoring...
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Shallow multi-branch attention convolutional neural network for micro-expression recognition
Micro-expression recognition (MER) has become challenging because it is difficult to extract subtle facial variations of micro-expressions (MEs)....
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Inceptr: micro-expression recognition integrating inception-CBAM and vision transformer
Micro-Expressions (MEs) are the instantaneous and subtle facial movement that conveys crucial emotional information. However, traditional neural...
