Improving the Flexibility of Production Scheduling in Flat Steel Production Through Standard and AI-Based Approaches: Challenges and Perspectives

Improving the Flexibility of Production Scheduling in Flat Steel Production Through Standard and AI-Based Approaches: Challenges and Perspectives

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International Conference on Artificial Intelligence Applications and Innovations (17. : 2021 : Chersonissos; Online) Artificial intelligence applications and innovations
1. Verfasser: Iannino, Vincenzo (VerfasserIn)
Weitere Verfasser: Colla, Valentina (VerfasserIn), Maddaloni, Alessandro (VerfasserIn), Brandenburger, Jens (VerfasserIn), Rajabi, Ahmad (VerfasserIn), Wolff, Andreas (VerfasserIn), Ordieres, Joaquin (VerfasserIn), Gutierrez, Miguel (VerfasserIn), Sirovnik, Erwin (VerfasserIn), Mueller, Dirk (VerfasserIn), Schirm, Christoph (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Regression Predictive Model to Analyze Big Data Analytics in Supply Chain Management 2021 Puica, Elena
Object Migration Automata for Non-equal Partitioning Problems with Known Partition Sizes 2021 Omslandseter, Rebekka Olsson
A Multi-view Clustering Approach for Analysis of Streaming Data 2021 Devagiri, Vishnu Manasa
Automatic Classification of XCT Images in Manufacturing 2021 Sabrowsky-Hirsch, Bertram
Just-in-Time Biomass Yield Estimation with Multi-modal Data and Variable Patch Training Size 2021 O’Byrne, Patricia
An Effective Loss Function for Generating 3D Models from Single 2D Image Without Rendering 2021 Zubić, Nikola
Collaborative Edge-Cloud Computing for Personalized Fall Detection 2021 Ngu, Anne H.
Intuitionistic Fuzzy Neural Network for Time Series Forecasting - The Case of Metal Prices 2021 Hajek, Petr
Robust Pose Estimation Based on Maximum Correntropy Criterion 2021 Zhang, Qian
Analysis and Prediction for House Sales Prices by Using Hybrid Machine Learning Approaches 2021 Hossain, S. M. Soliman
A Comparative Assessment of State-Of-The-Art Methods for Multilingual Unsupervised Keyphrase Extraction 2021 Giarelis, Nikolaos
SemAI: A Novel Approach for Achieving Enhanced Semantic Interoperability in Public Policies 2021 Manias, George
An Approach Utilizing Linguistic Features for Fake News Detection 2021 Kasseropoulos, Dimitrios Panagtotis
Learning Sentiment-Aware Trading Strategies for Bitcoin Leveraging Deep Learning-Based Financial News Analysis 2021 Passalis, N.
‘If Only I Would Have Done that…’: A Controlled Adaptive Network Model for Learning by Counterfactual Thinking 2021 Bhalwankar, Raj
A Computational Model for the Second-Order Adaptive Causal Relationships Between Anxiety, Stress and Physical Exercise 2021 Rass, Lars
Comparative Study of Embedded Feature Selection Methods on Microarray Data 2021 Hamla, Hind
Improved Biomedical Entity Recognition via Longer Context Modeling 2021 Stylianou, Nikolaos
An Ontology-Based Concept for Meta AutoML 2021 Humm, Bernhard G.
Evaluating Task-General Resilience Mechanisms in a Multi-robot Team Task 2021 Staley, James
Alle Artikel auflisten