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Dimitris Fotakis, Panagiotis Patsilinakos, Eleni Psaroudaki and Michalis Xefteris
In this work, we consider the problem of shape-based time-series clustering with the widely used Dynamic Time Warping (DTW) distance. We present a novel two-stage framework based on Sparse Gaussian Modeling. In the first stage, we apply Sparse Gaussian P...
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Lu Zhang, Hongyu Yang and Xiping Wu
Air traffic management (ATM) relies on the running condition of the air traffic control sector (ATCS), and assessing whether it is overloaded is crucial for efficiency and safety for the entire aviation industry. Previous approaches to evaluating air tra...
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Lenaïg G. Hemery, Kailan F. Mackereth, Cailene M. Gunn and Edward B. Pablo
Marine energy devices must be attached to the seafloor by their foundations, pilings, or anchors, and will have other parts in the water column like the devices themselves, mooring lines, and power export cables running along the seafloor. The installati...
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Kacper Jancewicz, Milena Rózycka, Mariusz Szymanowski, Maciej Kryza and Piotr Migon
We review DTM-based measures that can be applied to study the main drainage divides of mountain ranges. Both measures proposed in the past and new or modified approaches are presented, in order to show an ensemble of tools and jointly discuss their infor...
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Fabio Vittorio De Blasio
Mars has held large amounts of running and standing water throughout its history, as evidenced by numerous morphologies attributed to rivers, outflow channels, lakes, and possibly an ocean. This work examines the crater Antoniadi located in the Syrtis Ma...
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Fuwen Hu
The incomplete constraint induced by multipoint reconfigurable fixturing and the inherently weak rigidity of thin shell parts significantly hinder the stability of flexible fixturing systems. In particular, during the trimming operation, the number of ef...
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Anastasiia Kolevatova, Michael A. Riegler, Francesco Cherubini, Xiangping Hu and Hugo L. Hammer
A general issue in climate science is the handling of big data and running complex and computationally heavy simulations. In this paper, we explore the potential of using machine learning (ML) to spare computational time and optimize data usage. The pape...
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Mehrdad Amirghasemi
This paper presents an effective stochastic algorithm that embeds a large neighborhood decomposition technique into a variable neighborhood search for solving the permutation flow-shop scheduling problem. The algorithm first constructs a permutation as a...
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S.O. Orlov,I.S. Egoryshkin,E.V. Nikulchev
Pág. 40 - 46
The article briefly discusses functions that are often used in modern gadgets, such as a shared working space in different devices, and features, such as a gyroscope and accelerometer, as well as an example of a non-standard device that uses this functio...
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Ran Cheng, Khalid B. Mirza and Konstantin Nikolic
This paper describes the design and modus of operation of a neuromorphic robotic platform based on SpiNNaker, and its implementation on the goalkeeper task. The robotic system utilises an address event representation (AER) type of camera (dynamic vision ...
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