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Principles of Nanomagnetism

This book gathers the proceedings of the 5th International Conference on the Industry 4.0 Model for Advanced Manufacturing (AMP 2020), held in Belgrade, Serbia, on 1-4 June 2020. The event marks th...

This book describes how robots can make sense of motion in their surroundings and use the patterns they observe to blend in better in dynamic environments shared with humans.The world around us is ...

Theory, Practice, and Examples from Estonia

The book contains proceedings presented at the 9th International Conference on Arch Bridges held in Porto, Portugal on October 2 to 4, 2019. It is addressed to scientists, designers, technicians, s...

Leave nothing to chance. This cliche embodies the common belief that ran domness has no place in carefully planned methodologies, every step should be spelled out, each i dotted and each t crossed....

Network problems are manifold and extremely complex. Many problems result from engineering details or mathematical difficulties, others are caused by disregarding economic principles and imperfecti...

The book contains proceedings presented at the 9th International Conference on Arch Bridges held in Porto, Portugal on October 2 to 4, 2019. It is addressed to scientists, designers, technicians, s...

Frontmatter -- CONTENTS -- Preface -- INJECTIVE MAPPINGS OF WORDS WHICH DO NOT MULTIPLY SYMBOL SKIP AND INSERTION ERRORS -- MODELS FOR COMPUTER SECURITY -- PROBABILITY DISTRIBUTIONS OF THE NUMBERS ...

Principles of Neural Information Processing

Proceedings of CASICAM 2022

In this work, the task of wide-area indoor people detection in a network of depth sensors is examined. In particular, we investigate how the redundant and complementary multi-view information, incl...

Principles of Neural Information Processing

Advances in Resource-saving Technologies and Materials in Civil and Environmental Engineering

This work proposes a probabilistic extension to Bézier curves as a basis for effectively modeling stochastic processes with a bounded index set. The proposed stochastic process model is based on Mi...