AI portfolio implementations: Difference between revisions
*CircularTwain AI implementations portfolio* |
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This portfolio anticipated to be improved and evolve continuously throughout the project’s implementation, in order to record and describe further new ……. | This portfolio anticipated to be improved and evolve continuously throughout the project’s implementation, in order to record and describe further new ……. | ||
An initial categorisation has been made based on the applicable domain/industry, these | An initial categorisation has been made based on the applicable domain/industry, these implementations refer to. | ||
Further information such as the description, url, type, AI breadth, license information, etc. of each implementation is provided on their dedicated page. | |||
A) '''Manufacturing''' | A) '''Manufacturing''' | ||
A.1: AI REGIO Supervised Learning for Multivariant Time Series Forecasting | A.1: [[AI REGIO Supervised Learning for Multivariant Time Series Forecasting]] | ||
A.2: AI REGIO-S5 Enterprise Big Data Analytics Suite: Manufacturing | |||
A.3: AI REGIO Intelligent Computer Vision for Digital Twin | A.2: [[AI REGIO-S5 Enterprise Big Data Analytics Suite: Manufacturing]] | ||
A.4: AI REGIO Reinforcement Learning for Assembly Line Balancing Enhancement | |||
A.5: AI REGIO - Supervised real-time 2D-based Object Detection System | A.3: [[AI REGIO Intelligent Computer Vision for Digital Twin]] | ||
A.6: AI REGIO Industrial Faults Predictive Maintenance (IFPM) | |||
A.7: RL4MachineTuning | A.4: [[AI REGIO Reinforcement Learning for Assembly Line Balancing Enhancement]] | ||
A.8: Time prediction for flexible manufacturing | |||
A.9: LioNets on Time Series | A.5: [[AI REGIO - Supervised real-time 2D-based Object Detection System]] | ||
A.10: HIRIT | |||
A.11: DFDD | A.6: [[AI REGIO Industrial Faults Predictive Maintenance (IFPM)]] | ||
A12: McDefect Solutions | |||
A.7: [[RL4MachineTuning]] | |||
A.8: [[Time prediction for flexible manufacturing]] | |||
A.9: [[LioNets on Time Series]] | |||
A.10: [[HIRIT]] | |||
A.11: [[DFDD]] | |||
A12: [[McDefect Solutions]] | |||
B) '''WEEE & Battery''' | B) '''WEEE & Battery''' | ||
B.1: Isaac Sim | |||
B.2: Dexnet | B.1: [[Isaac Sim]] | ||
B.3: YOLO: image detection architectures | |||
B.4: NVIDIA kaolin tools | B.2: [[Dexnet]] | ||
B.5: PointNet++ | |||
B.6: ROS Noetic | B.3: [[YOLO: image detection architectures]] | ||
B.7: RoboGraph | |||
B.8: Jupyddl | B.4: [[NVIDIA kaolin tools and resources]] | ||
B.5: [[PointNet++]] | |||
B.6: [[ROS Noetic]] | |||
B.7: [[RoboGraph]] | |||
B.8: [[Jupyddl]] | |||
C) '''Research''' | C) '''Research''' | ||
C.1: JGNN Graph Neural Networks on Native Java | |||
C.2: Decentralized-gnn | C.1: [[JGNN Graph Neural Networks on Native Java]] | ||
C.3: Locally Private Graph Neural Networks | |||
C.4: Hugging Face | C.2: [[Decentralized-gnn]] | ||
C.5: SHapley Additive exPlanation (SHAP) | |||
C.6: DeepLIFT | C.3: [[Locally Private Graph Neural Networks]] | ||
C.7: EthicalML | |||
C.4: [[Hugging Face]] | |||
C.5: [[SHapley Additive exPlanation (SHAP)]] | |||
C.6: [[DeepLIFT]] | |||
C.7: [[EthicalML]] | |||
D) '''All/Smart industry''' | D) '''All/Smart industry''' | ||
D.1: AutoML | |||
D.2: DIDA (Digital Industries Data Analytics) | D.1: [[AutoML]] | ||
D.3: Auto-Weka | |||
D.4: ML.NET | D.2: [[DIDA (Digital Industries Data Analytics)]] | ||
D.5: NeuroSolutions | |||
D.3: [[Auto-Weka]] | |||
D.4: [[ML.NET]] | |||
D.5: [[NeuroSolutions]] | |||
Latest revision as of 07:04, 26 April 2023
The CircularTwain AI implementations portfolio, presents a non-exhausting list of AI implementations, as identified from the project’s partners and which have found to be relevant…. This portfolio anticipated to be improved and evolve continuously throughout the project’s implementation, in order to record and describe further new …….
An initial categorisation has been made based on the applicable domain/industry, these implementations refer to. Further information such as the description, url, type, AI breadth, license information, etc. of each implementation is provided on their dedicated page.
A) Manufacturing
A.1: AI REGIO Supervised Learning for Multivariant Time Series Forecasting
A.2: AI REGIO-S5 Enterprise Big Data Analytics Suite: Manufacturing
A.3: AI REGIO Intelligent Computer Vision for Digital Twin
A.4: AI REGIO Reinforcement Learning for Assembly Line Balancing Enhancement
A.5: AI REGIO - Supervised real-time 2D-based Object Detection System
A.6: AI REGIO Industrial Faults Predictive Maintenance (IFPM)
A.7: RL4MachineTuning
A.8: Time prediction for flexible manufacturing
A.10: HIRIT
A.11: DFDD
A12: McDefect Solutions
B) WEEE & Battery
B.1: Isaac Sim
B.2: Dexnet
B.3: YOLO: image detection architectures
B.4: NVIDIA kaolin tools and resources
B.5: PointNet++
B.6: ROS Noetic
B.7: RoboGraph
B.8: Jupyddl
C) Research
C.1: JGNN Graph Neural Networks on Native Java
C.2: Decentralized-gnn
C.3: Locally Private Graph Neural Networks
C.4: Hugging Face
C.5: SHapley Additive exPlanation (SHAP)
C.6: DeepLIFT
C.7: EthicalML
D) All/Smart industry
D.1: AutoML
D.2: DIDA (Digital Industries Data Analytics)
D.3: Auto-Weka
D.4: ML.NET
D.5: NeuroSolutions
