10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022
| Author | : IFAC Conference on Manufacturing Modelling, Management and Control MIM |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2022 |
| Genre | : |
| ISBN | : |
10th Ifac Conference On Manufacturing Modelling Management And Control Mim 2022
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9th IFAC Conference on Manufacturing Modelling, Management and Control, August 28-30, 2019, Berlin, Germany
| Author | : International Federation of Automatic Control. Conference on Manufacturing Modelling, Management and Control |
| Publisher | : |
| Total Pages | : |
| Release | : 2019 |
| Genre | : |
| ISBN | : |
Manufacturing, Modelling, Management and Control
| Author | : George L. Kovács |
| Publisher | : Pergamon |
| Total Pages | : 152 |
| Release | : 2001 |
| Genre | : Business & Economics |
| ISBN | : |
This Proceedings contains the papers presented at the IFAC Workshop on Manufacturing, Modelling, Management and Control (MIM 2001), held in Prague, Czech Republic, on 2-4 August 2001. This regular IFAC workshop has developed a reputation for high quality, and regularly features notable contributions by leading world experts. This Proceedings volume shows that the latest Workshop was no exception. The papers feature subjects such as production planning, virtual manufacturing, scheduling design, planning management, monitoring and diagnostics, manufacturing and machining, software, decision support systems, and modelling, as well as traditional and modern disciplines of manufacturing automation. The Proceedings of the MIM 2001 workshop are essential reading for anyone with an interest in the latest developments in the modelling and control of manufacturing systems.
Computational Science - ICCS 2024
| Author | : Leonardo Franco |
| Publisher | : Springer Nature |
| Total Pages | : 458 |
| Release | : 2024 |
| Genre | : Computational complexity |
| ISBN | : 3031637755 |
Zusammenfassung: The 7-volume set LNCS 14832 - 14838 constitutes the proceedings of the 24th International Conference on Computational Science, ICCS 2024, which took place in Malaga, Spain, during July 2-4, 2024. The 155 full papers and 70 short papers included in these proceedings were carefully reviewed and selected from 430 submissions. They were organized in topical sections as follows: Part I: ICCS 2024 Main Track Full Papers; Part II: ICCS 2024 Main Track Full Papers; Part III: ICCS 2024 Main Track Short Papers; Advances in High-Performance Computational Earth Sciences: Numerical Methods, Frameworks and Applications; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Part IV: Biomedical and Bioinformatics Challenges for Computer Science; Computational Health; Part V: Computational Optimization, Modelling, and Simulation; Generative AI and Large Language Models (LLMs) in Advancing Computational Medicine; Machine Learning and Data Assimilation for Dynamical Systems; Multiscale Modelling and Simulation; Part VI: Network Models and Analysis: From Foundations to Artificial Intelligence; Numerical Algorithms and Computer Arithmetic for Computational Science; Quantum Computing; Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks, and Artificial Intelligence; Solving Problems with Uncertainties; Teaching Computational Science
Innovations in Machine and Deep Learning
| Author | : Gilberto Rivera |
| Publisher | : Springer Nature |
| Total Pages | : 506 |
| Release | : 2023-11-04 |
| Genre | : Computers |
| ISBN | : 3031406885 |
In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and leaders. This book presents numerous successful applications of AI in various contexts. The innovative implications covered fall under the general field of machine learning (ML), including deep learning, decision-making, forecasting, pattern recognition, information retrieval, and interpretable AI. Decision-makers and entrepreneurs will find numerous successful applications in health care, sustainability, risk management, human activity recognition, logistics, and Industry 4.0. This book is an essential resource for anyone interested in challenges, opportunities, and the latest developments and real-world applications of ML. Whether you are a student, researcher, practitioner, or simply curious about AI, this book provides valuable insights and inspiration for your work and learning.
