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keywords:(Industrial Chemistry/Chemical Engineering)
Correction to: Development Process for Information Security Concepts in IIoT-Based Manufacturing
Classification and Detection of Malicious Attacks in Industrial IoT Devices via Machine Learning
Polymerelektrolyt-Brennstoffzellensystem für ein autonomes Unterwasserfahrzeug
High Precision Fabrication of an Innovative Fiber-Optic Displacement Sensor
The Circular Economy Competence of the Manufacturing Sector — A Case Study
A Conceptual Framework of a Digital-Twin for a Circular Meat Supply Chain
Approach for Evaluating Changeable Production Systems in a Battery Module Production Use Case
Detachable, Low-Cost Tool Holder for Grippers in Human-Robot Interaction
Generation of an Intermediate Workpiece for Planning of Machining Operations
Cost-Minimal Selection of Material Supply Strategies in Matrix Production Systems
Manufacturing Process Optimization via Digital Twins: Definitions and Limitations
Application of ARIMA-LSTM for Manufacturing Decarbonization Using 4IR Concepts
Assessment of Reconfigurable Vibrating Screen Technology for the Mining Industries
Modelling and Simulation of Automated Hydraulic Press Brake
3D Printing of Hydrogel-Based Seed Planter for In-Space Seed Nursery
The Impact of Learning Factories on Teaching Lean Principles in an Assembly Environment
AI-Based Engineering and Production Drawing Information Extraction
Development of a Sensor Integrated Machining Vice Towards a Non-invasive Milling Monitoring System
Assessing Visual Identification Challenges for Unmarked and Similar Aircraft Components
Die-Less Forming of Fiber-Reinforced Plastic Composites
A Mathematical Model for Cloud-Based Scheduling Using Heavy Traffic Limit Theorem in Queuing Process
Assessment of High Porosity Lattice Structures for Lightweight Applications
Online Path Planning in a Multi-agent-Controlled Manufacturing System
Development Process for Information Security Concepts in IIoT-Based Manufacturing
Hyperspectral Imaging for Non-destructive Testing of Composite Materials and Defect Classification
Projecting Product-Aware Cues as Assembly Intentions for Human-Robot Collaboration
Deep Anomaly Detection for Endoscopic Inspection of Cast Iron Parts