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Part IV confronts the challenges and potentials of production processes under novel digitalization methods.Part V focuses on production management with data-driven decision support, while Part VI explores agile development processes.
This book presents the XXII Congress of APDIO – IO 2022 which is the 22nd edition of the regular meeting of the Portuguese Association of Operational Research (APDIO).
This book constitutes the proceedings of the 19th IMA International Conference, IMACC 2023, held in London, UK, during December 12–14, 2023The 14 full papers included in this volume were carefully reviewed and selected from 36 submissions.
This book is a collection of peer-reviewed best selected research papers presented at the Second International Conference on Machine Intelligence and Smart Systems (MISS 2021), organized during September 24–25, 2021, in Gwalior, India.
This book includes the original, peer-reviewed research articles from the 3rd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2021), held in August 21 – 22, 2021, at Goa, India.
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies.
The book covers different aspects of real-world applications of optimization algorithms. The book... Læs mere
This book describes in detail a method of direct optimization, which makes it possible to choose the best trajectory of an aircraft in conditions of its limited resource.
Two fractional-order PI controllers are proposed and designed: fractional-order predictive PI and hybrid iterative learning based fractional-order predictive PI controller.
This book is the second volume of a two-volume book set which introduces software-defined chips. In this book, the programming model of the software-defined chips is analyzed by tracing the coevolution of modern general-purpose processors and programming models.
This book brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based machine learning paradigm.