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Innovations in Mechatronics Engineering III

This book reports on innovations and engineering achievements of industrial relevance, with a special emphasis on developments in mechatronics, control engineering and signal processing. It gathers peer-r…

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Computational Intelligence Applied to Inverse Problems in Radiative Transfer

This book offers a careful selection of studies in optimization techniques based on artificial intelligence, applied to inverse problems in radiative transfer. In this book, the reader will find an in-dep…

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Cyber-Physical Systems Engineering and Control

This book is devoted to the study of engineering and control technologies for the cyber-physical systems development. This book defines the approaches in the engineering leverage the exploitation of artif…

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Advances in Neural Computation, Machine Learning, and Cognitive Research VIII

This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wid…

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Advances in Neural Computation, Machine Learning, and Cognitive Research VII

This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wid…

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Fattouche Maroua, Belaidi Salah
Design of new selective inhibitors of HCV NS5B

In this study, a QSAR investigation was carried out on a set of thirty-eight isothiazole derivatives targeting NS5B inhibition and thus the treatment of hepatitis C virus (HCV). The research methodology u…

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Deep Learning Techniques for Automation and Industrial Applications

This book provides state-of-the-art approaches to deep learning in areas of detection and prediction, as well as future framework development, building service systems and analytical aspects in which arti…

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Developments in Language Theory

This book constitutes the refereed proceedings of the 28th International Conference on Developments in Language Theory, DLT 2024, held in Göttingen, Germany, during August 12¿16, 2024.The 17 full papers a…

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Yue Song, Max Welling, Nicu Sebe, Thomas Anderson Keller
Structured Representation Learning

This book introduces approaches to generalize the benefits of equivariant deep learning to a broader set of learned structures through learned homomorphisms. In the field of machine learning, the idea of …

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Power Systems Research and Operation

This book covers new technologies and methods related to models for short-term forecasting of electricity imbalances in the IPS of Ukraine, taking into account the impact of forecasts of energy production…

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AI in Drug Discovery

Lecture Notes in Computer Science - Band 14894

This open Access book constitutes the refereed proceedings of the First International Workshop on AI in Drug Discovery, AIDD 2024, held as a part of the 33rd International Conference on Artificial Neural …

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Zekâi ¿En
Shallow and Deep Learning Principles

This book discusses Artificial Neural Networks (ANN) and their ability to predict outcomes using deep and shallow learning principles. The author first describes ANN implementation, consisting of at least…

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Proceedings of the 8th International Symposium on Solid Mechanics

This book presents the proceedings of Mecsol 2022. The papers cover multidisciplinary topics, including Fatigue and Failure Analyses; Composite Materials and Structures; Elasticity, Plasticity, Damage and…

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Marcin Korytkowski
Advanced Techniques of Artificial Intelligence in IT Security Systems

The book explores how modern technologies, including artificial intelligence and neural networks, are being used to enhance cybersecurity. In today's world, the development of the Internet is nothing shor…

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