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Mingyoung Jeng, Alvir Nobel, Vinayak Jha, David Levy, Dylan Kneidel, Manu Chaudhary, Ishraq Islam, Evan Baumgartner, Eade Vanderhoof, Audrey Facer, Manish Singh, Abina Arshad and Esam El-Araby
Convolutional neural networks (CNNs) have proven to be a very efficient class of machine learning (ML) architectures for handling multidimensional data by maintaining data locality, especially in the field of computer vision. Data pooling, a major compon...
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Ke Chen, Bo Xiao, Chunyang Wang, Xuelian Liu, Shuning Liang and Xu Zhang
In today?s automation control systems, the PID controller, as a core technology, is widely used to maintain the system output near the set value. However, in some complex control environments, such as the application of ball screw-driven rotating motors,...
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Zdenek Zme?kal, Dana Dluho?ová, Karolina Lisztwanová, Antonín Poncík and Iveta Ratmanová
The paper is focused on predicting the financial performance of a small open economy with an automotive industry with an above-standard share. The paper aims to predict the probability distribution of the decomposed relative economic value-added measure ...
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Enrique Villamor and Pablo Olivares
In this paper we study the pricing of exchange options between two underlying assets whose dynamic show a stochastic correlation with random jumps. In particular, we consider a Ornstein-Uhlenbeck covariance model, with Levy Background Noise Processes dri...
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Haoxuan Li, Zhenzhong Shen, Yiqing Sun, Yijun Wu, Liqun Xu, Yongkang Shu and Jiacheng Tan
Seepage is the primary cause of dam failures. Conducting regular seepage analysis for dams can effectively prevent accidents from occurring. Accurate and rapid determination of seepage parameters is a prerequisite for seepage calculation in hydraulic eng...
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Chen Wang, Dongliang Wang, Minqiang Gu, Huaxing Huang, Zhaojun Wang, Yutong Yuan, Xiaomin Zhu, Wu Wei and Zhun Fan
Inspired by the behaviour of animal populations in nature, we propose a novel exploration algorithm based on Lévy flight (LF) and artificial potential field (APF). The agent is extended to the swarm level using the APF method through the LF search enviro...
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Jinghui Feng, Haopeng Kuang and Lihua Zhang
Feature selection can efficiently improve classification accuracy and reduce the dimension of datasets. However, feature selection is a challenging and complex task that requires a high-performance optimization algorithm. In this paper, we propose an enh...
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Gubbala Venkata Naga Lakshmi, Askani Jaya Laxmi, Venkataramana Veeramsetty and Surender Reddy Salkuti
The optimal placement of distributed generation (DG) is a critical task for distribution companies in order to keep the distribution network running smoothly. The optimal placement of DG units is an optimization problem. In this paper, minimization of th...
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Andrei V. Panteleev and Anna A. Kolessa
A new bio-inspired method for optimizing the objective function on a parallelepiped set of admissible solutions is proposed. It uses a model of the behavior of tomtits during the search for food. This algorithm combines some techniques for finding the ex...
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Jules Clément Mba, Sutene Mwambetania Mwambi and Edson Pindza
Since its inception in 2009, Bitcoin has increasingly gained main stream attention from the general population to institutional investors. Several models, from GARCH type to jump-diffusion type, have been developed to dynamically capture the price moveme...
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