User contributions for Admino739mjm7
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Results for Admino739mjm7 talk block log uploads logs
A user with 560 edits. Account created on 20 September 2023.
22 February 2024
- 13:1513:15, 22 February 2024 diff hist 0 N File:Data analysis dash 3.png No edit summary current
- 13:1313:13, 22 February 2024 diff hist −422 Data Analysis Dashboard →Usage
- 13:1213:12, 22 February 2024 diff hist +2,822 N Data Analysis Dashboard Created page with "<strong>Dashboard that allows human operators monitor tabular data through visualization/interpretability, querying, and inference features.</strong> thumb|right|<div style="font-size:88%;line-height: 1.5em">Image 1: The main view of the Data Analysis Dashboard.</div> == Asset Description == <p style="line-height: 1.5em"> The Data Analysis Dashboard facilitates the comprehensive monitoring of tabular data (e.g., from sensor arrays) w..."
- 12:4112:41, 22 February 2024 diff hist 0 N File:Data analysis dash 1.jpg No edit summary current
- 12:2612:26, 22 February 2024 diff hist +28 XuILVQ: A River Implementation of the Incremental Learning Vector Quantization for IoT No edit summary current
- 11:2611:26, 22 February 2024 diff hist +339 AI Reference Implementations No edit summary
- 11:1811:18, 22 February 2024 diff hist −149 XuILVQ: A River Implementation of the Incremental Learning Vector Quantization for IoT →Usage
- 11:1311:13, 22 February 2024 diff hist +6 XuILVQ: A River Implementation of the Incremental Learning Vector Quantization for IoT →Usage
- 11:1311:13, 22 February 2024 diff hist +2,494 N XuILVQ: A River Implementation of the Incremental Learning Vector Quantization for IoT Created page with "<strong>Description of an edge-computing algorithm for incremental classification problems</strong> thumb|right|<div style="font-size:88%;line-height: 1.5em">Image 1: Illustration of the ILVQ classifier as it is incrementally trained. The number of the epochs refers to the number of samples the algorithm has received and |G| to the number of prototypes it stores in memory.</div> == Asset Description == <p style="line-height: 1.5em"> In Machine Learn..."
- 10:5210:52, 22 February 2024 diff hist 0 N File:XuILVQ.png No edit summary current
16 February 2024
- 15:2415:24, 16 February 2024 diff hist +150 AI Reference Implementations No edit summary
- 15:2215:22, 16 February 2024 diff hist +1 FPGA Device Plugin No edit summary current
- 15:2215:22, 16 February 2024 diff hist +1 FPGA Device Plugin →Resources
- 15:2215:22, 16 February 2024 diff hist +92 FPGA Device Plugin →Resources
- 15:2015:20, 16 February 2024 diff hist −5 FPGA Device Plugin →Usage
- 15:2015:20, 16 February 2024 diff hist −547 FPGA Device Plugin →Usage
- 15:1815:18, 16 February 2024 diff hist +5,002 N FPGA Device Plugin Created page with "<strong>A Daemonset deployed on the Kubernetes(k8s) cluster for the discovery of FPGAs inserted in each node of the cluster and running FPGA accessible containers in the k8s cluster.</strong> == Asset Description == <p style="line-height: 1.5em"> The Xilinx FPGA device plugin for Kubernetes is a Daemonset deployed on the Kubernetes(k8s) cluster which allows you to: * Discover the FPGAs inserted in each node of the cluster and expose information about these resources s..."
- 15:1615:16, 16 February 2024 diff hist +23 N Category:Kubernetes Device Plugin Created page with "Category:Asset Type" current
1 February 2024
30 January 2024
- 16:1216:12, 30 January 2024 diff hist 0 AI REDGIO 5.0 Collaborative Intelligence Platform →Resources
- 16:1116:11, 30 January 2024 diff hist +1 Quality Control in Industry with CV and TinyML →Acknowledgement current
- 16:1016:10, 30 January 2024 diff hist +36 Quality Control in Industry with CV and TinyML →Relevant Categories
- 16:0216:02, 30 January 2024 diff hist +2 Quality Control in Industry with CV and TinyML No edit summary
- 16:0216:02, 30 January 2024 diff hist +50 Quality Control in Industry with CV and TinyML No edit summary
- 16:0016:00, 30 January 2024 diff hist −12 Quality Control in Industry with CV and TinyML No edit summary
- 15:5915:59, 30 January 2024 diff hist +400 Quality Control in Industry with CV and TinyML No edit summary
- 15:5815:58, 30 January 2024 diff hist 0 N File:Qualitycontrolwithtinymlandcv.png No edit summary current
- 12:1812:18, 30 January 2024 diff hist +1,741 Quality Control in Industry with CV and TinyML No edit summary
- 07:1707:17, 30 January 2024 diff hist −15 Quality Control in Industry with CV and TinyML →User Journey
29 January 2024
- 11:5711:57, 29 January 2024 diff hist +47 AI Reference Implementations →Quality Control in Industry with CV and TinyML by ExpertAI
- 11:5611:56, 29 January 2024 diff hist +172 AI Reference Implementations No edit summary
- 11:5311:53, 29 January 2024 diff hist +59 Quality Control in Industry with CV and TinyML No edit summary
- 11:5111:51, 29 January 2024 diff hist 0 N File:Qualitycontrol snip.PNG No edit summary current
- 11:4811:48, 29 January 2024 diff hist −7 Quality Control in Industry with CV and TinyML →Resources
- 11:4711:47, 29 January 2024 diff hist +407 Quality Control in Industry with CV and TinyML No edit summary
- 11:4111:41, 29 January 2024 diff hist +3,597 N Quality Control in Industry with CV and TinyML Created page with "<strong>Quality control on production lines with computer vision and TinyML for the automatic inspection and defect detection in products as they move along the production line</strong> thumb|right|Image 1: Placeholder caption == Asset Description == <p style="line-height: 1.5em"> ''Computer Vision (CV)'' algorithms can be used to analyse images of products and compare them to a "good" or "reference" image to identify any defects. These..."
- 10:5110:51, 29 January 2024 diff hist −11 AI REDGIO 5.0 Collaborative Intelligence Platform →How it works
- 10:4010:40, 29 January 2024 diff hist +36 AI REDGIO 5.0 Collaborative Intelligence Platform No edit summary
- 10:1010:10, 29 January 2024 diff hist +6 AI REDGIO 5.0 Collaborative Intelligence Platform →How To
- 10:1010:10, 29 January 2024 diff hist 0 AI REDGIO 5.0 Collaborative Intelligence Platform →Interplay with Input Analysis Tool
- 10:0710:07, 29 January 2024 diff hist +2,132 AI REDGIO 5.0 Collaborative Intelligence Platform No edit summary
- 09:5309:53, 29 January 2024 diff hist 0 N File:Input analysis 002.png No edit summary current
- 09:5209:52, 29 January 2024 diff hist 0 N File:Input analysis 001.png No edit summary current
- 09:4709:47, 29 January 2024 diff hist 0 N File:Step 1.png No edit summary
- 08:5808:58, 29 January 2024 diff hist +27 AI REDGIO 5.0 Collaborative Intelligence Platform →Usage Walkthroughs
23 November 2023
- 13:4813:48, 23 November 2023 diff hist +18 Main Page →Acknowledgement
- 13:4613:46, 23 November 2023 diff hist +295 Main Page No edit summary
- 13:4613:46, 23 November 2023 diff hist +4 AI-REDGIO 5.0:About →The AI REDGIO 5.0 Project
- 13:4413:44, 23 November 2023 diff hist +5 AI-REDGIO 5.0:About →The AI REDGIO 5.0 Project
- 13:4413:44, 23 November 2023 diff hist +792 N AI-REDGIO 5.0:About Created page with "== The AI REDGIO 5.0 Project == <p style="line-height: 1.5em"> The AI REDGIO 5.0 project focuses on renovating and extending the alliance between Vanguard European regions and Digital Innovation Hubs, taking into account the outcomes of H2020 I4MS AI REGIO and implementing a competitive AI-at-the-Edge Digital Transformation of Industry 5.0 Manufacturing Small and Medium Enterprises. Visit the official [https://www.airedgio5-0.eu/ AI REDGIO 5.0 website] to find out more..."