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Hyeon-Kyu Noh and Hong-June Park
A convolutional neural network (CNN) transducer decoder was proposed to reduce the decoding time of an end-to-end automatic speech recognition (ASR) system while maintaining accuracy. The CNN of 177 k parameters and a kernel size of 6 generates the proba...
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Alvaro Arroyo Cebeira and Mariano Asensio Vicente
In this paper, we propose a nonlinear tracking solution for maneuvering aerial targets based on an adaptive interacting multiple model (IMM) framework and unscented Kalman filters (UKFs), termed as AIMM-UKF. The purpose is to obtain more accurate estimat...
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Yuki Naoi, Masayuki Iwata, Daichi Yokota, Gediminas Gaigalas, Daiji Kato, Izumi Murakami, Hiroyuki A. Sakaue, Yuichiro Sekiguchi, Masaomi Tanaka, Hajime Tanuma, Shinya Wanajo and Nobuyuki Nakamura
We present a laser induced breakdown spectrum of Er II in the near ultraviolet region. To use the spectrum for the evaluation of the transition probabilities, an alloy target with a low content of Er was used to suppress the self-absorption. From the lin...
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Hanen Souissi and Tahani A. Alrebdi
We have investigated, in a previous work, the transition dipole moments (TDM) of the 13 1S+ states of the (SrK)+ molecular ion by using the ab initio method based on the pseudo-potential approach. The radiative lifetimes for all vibrational levels of A a...
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Jonatan Gomez and Andres Rivera
Studying the theoretical properties of optimization algorithms such as genetic algorithms and evolutionary strategies allows us to determine when they are suitable for solving a particular type of optimization problem. Such a study consists of three main...
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Sa Yang, Suoping Li, Nana Yang and Ying Lin
To solve the conflict when multi-user packets are transmitted in a shared wireless link, a novel frameless slotted-ALOHA protocol is proposed. Signature codes are used to help the receiver identify the set of transmitting users, and successive interferen...
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Juri Hinz
In industrial applications, the processes of optimal sequential decision making are naturally formulated and optimized within a standard setting of Markov decision theory. In practice, however, decisions must be made under incomplete and uncertain inform...
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Agostino Nuzzolo and Antonio Comi
This paper addresses the search for a run-based dynamic optimal travel strategy, to be supplied through mobile devices (apps) to travelers on a stochastic multiservice transit network, which includes a system forecasting of bus travel times and bus arriv...
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Chang Ren, Luliang Tang, Jed Long, Zihan Kan and Xue Yang
The acquisition of human trajectories facilitates movement data analytics and location-based services, but gaps in trajectories limit the extent in which many tracking datasets can be utilized. We present a model to estimate place visit probabilities at ...
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Fabián Santos-García, Karina Delgado Valdivieso, Andreas Rienow and Joaquín Gairín
Academic performance (AP) is explained by a multitude of factors, principally by those related to socioeconomic, cultural, and educational environments. However, AP is less understood from a spatial perspective. The aim of this study was to investigate a...
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