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Auflistung nach Schlagwort "Artificial Intelligence"

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Bridging data gaps in the food industry – sensor-equipped metal food containers as an enabler for sustainability

Burggräf, Peter; Steinberg, Fabian; Adlon, Tobias; Nettesheim, Philipp; Salzwedel, Jan (Hannover : publish-Ing., 2023)

In recent years, Machine Learning (ML) applications for manufacturing have reached a high degree of maturity and can be considered as a suitable tool for improving production performance. In addition, ML applications can ...
Comparison of AI-Based Business Models in Manufacturing: Case Studies on Predictive Maintenance

Bretones Cassoli, Beatriz; Hoffmann, Felix; Metternich, Joachim (Hannover : publish-Ing., 2021)

Recent advances in Artificial Intelligence extend the boundaries of what machines can do in all industries and business sectors. The economic potential to apply AI in manufacturing results in an increasing number of ...
Conceptualization of the use of Artificial Intelligence for Interdependencies Analysis in Requirements Engineering

Burggräf, Peter; Bergweiler, Georg; Fiedler, Falko; Slawik, Viktor; Recker, Jonas (Hannover : publish-Ing., 2022)

The efficiency in product development is largely determined by the quality of the requirements and the ability of the product design and production planner to analyze them. Interdependencies between multiple requirements ...
Curriculum Learning in Job Shop Scheduling using Reinforcement Learning

Waubert de Puiseau, Constantin; Tercan, Hasan; Meisen, Tobias (Hannover : publish-Ing., 2023)

Solving job shop scheduling problems (JSSPs) with a fixed strategy, such as a priority dispatching rule, may yield satisfactory results for several problem instances but, nevertheless, insufficient results for others. From ...
Data-Driven Technology Management Supported by Artificial Intelligence Solutions

Schuh, Günther; Boßmeyer, Hans-Jürgen; Brälking, André (Hannover : publish-Ing., 2021)

Technology Management is an important part of a company’s business strategy. Procuring, evaluating and processing information is crucial for this process' success. This paper describes the way of dealing with today’s ...
Deep Learning Gauss–Manin Connections

Heal, Kathryn; Kulkarni, Avinash; Sertöz, Emre Can (Cham (ZG) : Springer International Publishing AG, 2022)

The Gauss–Manin connection of a family of hypersurfaces governs the change of the period matrix along the family. This connection can be complicated even when the equations defining the family look simple. When this is the ...
An Expert System-Based Approach For Improving Energy Efficiency Of Chamber Cleaning Machines

Ioshchikhes, Borys; Elserafi, Ghada; Weigold, Matthias (Hannover : publish-Ing., 2023)

Increased transparency and domain expertise are often prerequisites for identifying energy savings potentials and improving energy efficiency in manufacturing systems. Small and medium-sized enterprises pursuing a reduction ...
Function Analysis for Selecting Automated Machine Learning Solutions

Schuh, Günther; Stroh, Max-Ferdinand; Benning, Justus; Leachu, Stefan; Schmid, Katharina (Hannover : publish-Ing., 2022)

Methods of machine learning (ML) are notoriously difficult for enterprises to employ productively. Data science is not a core skill of most companies, and acquiring external talent is expensive. Automated machine learning ...
IK und KI – ein Herz und eine Seele : Ein Streit über künstliche Intelligenz im Kontext von Informationskompetenz

Burblies, Christine; Pianos, Tamara (Berlin : de Gruyter, 2019)

Ein Streit über künstliche Intelligenz im Kontext von Informationskompetenz.
Implementation of relevant fourth industrial revolution innovations across the supply chain of fruits and vegetables: A short update on Traceability 4.0

Hassoun, Abdo; Kamiloglu, Senem; Garcia-Garcia, Guillermo; Parra-López, Carlos; Trollman, Hana; Jagtap, Sandeep; Aadil, Rana Muhammad; Esatbeyoglu, Tuba (New York, NY [u.a.] : Elsevier, 2023)

Food Traceability 4.0 refers to the application of fourth industrial revolution (or Industry 4.0) technologies to ensure food authenticity, safety, and high food quality. Growing interest in food traceability has led to ...
Industrial anomaly detection with normalizing flows

Rudolph, Marco (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2024)

This thesis addresses deep learning-based methods for automatic anomaly detection in an industrial context. It involves image- or sensor-based detection of defects in the production process that can affect the quality of ...
Integrating Assessment Methods in the Development of ML-based Business Models for Manufacturing

Hoffmann, Felix; Lang, Enno; Metternich, Joachim (Hannover : publish-Ing., 2022)

The use of machine learning promises great potential along the entire value chain of manufacturing companies. Many companies have already recognized the resulting opportunities for increasing enterprise value and are ...
Machine Learning For Intelligent Maintenance And Quality Control: A Review Of Existing Datasets And Corresponding Use Cases

Jourdan, Nicolas; Longard, Lukas; Biegel, Tobias; Metternich, Joachim (Hannover : publish-Ing., 2021)

The advent of artificial intelligence and machine learning is influencing the manufacturing industry profoundly, enabling unprecedented opportunities to improve manufacturing processes within the three dimensions time, ...
On The Effectiveness Of Bottleneck Information For Solving Job Shop Scheduling Problems Using Deep Reinforcement Learning

Waubert de Puiseau, Constantin; Zey, Lennart; Demir, Merve; Tercan, Hasan; Meisen, Tobias (Hannover : publish-Ing., 2023)

Job shop scheduling problems (JSSPs) have been the subject of intense studies for decades because they are often at the core of significant industrial planning challenges and have a high optimization potential. As a result, ...
Operational concepts for the deployment of AI-supported maintenance strategies at Distribution System Operators to enable the energy and mobility transition

Kandiah, Kajan; Frehen, Lars; Stroh, Max-Ferdinand; Stich, Volker (Hannover : publish-Ing., 2023)

Climate change is leading to massive changes, especially in the areas of energy and mobility. As a connecting element of the energy and mobility transition, electricity grids will play a key role. Bidirectional energy flows ...
A Review Of Data-Based Methods For The Development Of An Adaptive Engineering Change System For Automotive Body Shop

Schuh, Günther; Bergweiler, Georg; Fiedler, Falko; Slawik, Viktor; Ahues, Christian (Hannover : publish-Ing., 2021)

The automotive body shop with its high investment costs and resource intensive high automation level is not sufficiently responsive to the demands of agility and adaptivity. The coexistence of combustion engine and e-mobility ...
Simulation Game Concept For AI-Enhanced Teaching Of Advanced Value Stream Analysis and Design

Geisthardt, Mick; Engel, Lutz; Schnegelberger, Monika (Hannover : publish-Ing., 2023)

Value stream analysis and design is employed globally by improvement teams within industrial settings to maximize value creation and eliminate waste. For ending methodical time-centricity, research expanded the methodology ...
A Strategic AI Procedure Model For Implementing Artificial Intelligence

Walter, Tim; Bremer, Martin; Kaminski, Lars; Stich, Volker (Hannover : publish-Ing., 2021)

For most industries, Artificial Intelligence (AI) holds substantial potentials. In the last decades, the extent of data created worldwide is exponentially increasing, and this trend is likely to continue. However, despite ...
Supporting Explainable AI on Semantic Constraint Validation

Gercke, Julian Alexander (Hannover : Gottfried Wilhelm Leibniz Universität, 2022-06-14)

There is a rising number of knowledge graphs available published through various sources. The enormous amount of linked data strives to give entities a semantic context. Using SHACL, the entities can be validated with ...
Toward Responsible Use Of Digital Technologies In Manufacturing Companies Through Regulation

Schuh, Günther; Stroh, Max-Ferdinand; Johanning, Lara (Hannover : publish-Ing., 2023)

Digital technologies have gained significant importance in the course of the 4th Industrial Revolution and these technologies are widely implemented, nowadays. However, it is necessary to bear in mind that an ill-considered ...

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Auflistung nach Schlagwort "Artificial Intelligence"

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