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08/31/2023
Information Fusion for Assistance Systems in Production Assessment
We propose a novel methodology to define assistance systems that rely on...
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04/12/2023
Self Optimisation and Automatic Code Generation by Evolutionary Algorithms in PLC based Controlling Processes
The digital transformation of automation places new demands on data acqu...
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12/26/2022
Quaternion Backpropagation
Quaternion valued neural networks experienced rising popularity and inte...
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12/23/2022
Anomaly Detection using Ensemble Classification and Evidence Theory
Multi-class ensemble classification remains a popular focus of investiga...
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08/31/2022
AWADA: Attention-Weighted Adversarial Domain Adaptation for Object Detection
Object detection networks have reached an impressive performance level, ...
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07/07/2022
Production Assessment using a Knowledge Transfer Framework and Evidence Theory
Operational knowledge is one of the most valuable assets in a company, a...
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11/17/2020
Curiosity Based Reinforcement Learning on Robot Manufacturing Cell
This paper introduces a novel combination of scheduling control on a fle...
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11/17/2020
Predicting Rigid Body Dynamics using Dual Quaternion Recurrent Neural Networks with Quaternion Attention
We propose a novel neural network architecture based on dual quaternions...
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09/08/2020
Reinforcement Learning on Job Shop Scheduling Problems Using Graph Networks
This paper presents a novel approach for job shop scheduling problems us...
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05/25/2020
Gradient Monitored Reinforcement Learning
This paper presents a novel neural network training approach for faster ...
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07/01/2019
Neural Logic Rule Layers
Despite their great success in recent years, deep neural networks (DNN) ...
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05/29/2019
Learning the Non-linearity in Convolutional Neural Networks
We propose the introduction of nonlinear operation into the feature gene...
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05/08/2019
