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George Ioannou, Georgios Alexandridis and Andreas Stafylopatis
Importance sampling, a variant of online sampling, is often used in neural network training to improve the learning process, and, in particular, the convergence speed of the model. We study, here, the performance of a set of batch selection algorithms, n...
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Shuanglin Wu, Zhenglin Li, Jixing Qin, Mengyuan Wang and Wen Li
The structure of a sound speed profile (SSP) in deep water causes refraction of sound rays and Convergence Zones (CZs) of high intensity where the rays focus at shallow depth. Study of sound field characteristics in the CZs has always been the focus of d...
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Zhi Quan and Shuhua Lv
To solve a system of equations that needs few updates, such as sparse systems, the leading dichotomous coordinate descent (DCD) algorithm is better than the cyclic DCD algorithm because of its fast speed of convergence. In the case of sparse systems requ...
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Ageliki N Tsioliaridou,Chi Zhang,Christos K Liaskos
Pág. pp. 64 - 68
Multimedia CAPTCHAs play a crucial role in bot filtering policies for VoIP applications. Network flows carrying CAPTCHA content have a very small lifespan and require high transmission quality, making for special handling at transport layer. The present ...
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Han-Ching Huang,Yong-Chern Su,Chun-Chi Shih
Pág. 591 - 601
This study investigates the convergence process toward efficiency of daily top losers. We find that significance of order imbalance coefficients decreases with increasing time interval, indicating evidences on convergence to market efficiency. A time-var...
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Tahir Mahmood
Pág. 320 - 339
Beta convergence and the speed of convergence of labour productivity for 52 industries are studied with a panel of data including 13 European countries. We use fixed effect approach to model the heterogeneity across countries. In primary sector and in se...
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Quan Zhang, Shiyu Du, Yiming Zhang, Hongzhuo Wu, Kai Duan and Yanru Lin
The Chimp Optimization Algorithm (ChOA) is a heuristic algorithm proposed in recent years. It models the cooperative hunting behaviour of chimpanzee populations in nature and can be used to solve numerical as well as practical engineering optimization pr...
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Sri Kurniawati
Pág. 77 - 83
This study aims to calculate and analyze whether or not a decline occurs in regional income inequality (sigma convergence). Additionally, it attempts to examine the ability of low-income provinces to catch up the provinces with a high regional income, ne...
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Marilisa Botte, Mariano Gallo, Mario Marinelli and Luca D?Acierno
In this paper, we propose a generalisation of the Method of Successive Averages (MSA) for solving traffic assignment problems. The generalisation consists in proposing a different step sequence within the general MSA framework to reduce computing times. ...
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Ana Syukriyah
Pág. 362 - 367
The purpose of this study was to identify the sigma and absolute beta convergence of the Human Development Index (HDI) inter provinces in Indonesia, and identify the speed of absolute beta convergence. This study used a quantitative analysis with tool us...
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Nada Chakhim, Mohamed Louzar, Abdellah Lamnii and Mohammed Alaoui
Diffuse optical tomography (DOT) is an emerging modality that reconstructs the optical properties in a highly scattering medium from measured boundary data. One way to solve DOT and recover the quantities of interest is by an inverse problem approach, wh...
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Jafar Jafari-Asl, Seyed Arman Hashemi Monfared and Soroush Abolfathi
This study investigates the optimal and safe operation of pumping stations in water distribution systems (WDSs) with the aim of reducing the environmental footprint of water conveyance processes. We introduced the nonlinear chaotic honey badger algorithm...
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Xiang Sun, Yisheng Miao, Xiaoyan Wu, Yuansheng Wang, Qingxue Li, Huaji Zhu and Huarui Wu
To enhance the transplantation effectiveness of vegetables and promptly formulate subsequent work strategies, it is imperative to study the recognition approach for transplanted seedlings. In the natural and complex environment, factors like background a...
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Qifeng Diao, Jinfeng Zhang, Min Liu and Jiaxuan Yang
Unmanned Aerial Vehicle (UAV) path planning has increasingly become the key research point for civilian drones to expand their use and enhance their work efficiency. Focusing on offline derivative algorithms, represented by Rapidly-exploring Random Trees...
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Hongyin Yang, Wei Zhang, Aixin Zhang, Nanhao Wu and Zhangjun Liu
A new damage identification method is proposed to solve the problem of no correspondence between the element division form of the finite element model and the actual damage location. The three basic operators in the traditional genetic algorithm are impr...
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Xi Liu and Dan Zhang
Enterprise investment decision-making should not only consider investment profits, but also investment risks, which is a complex nonlinear multi-objective optimization problem. However, traditional investment decisions often only consider profit as a goa...
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Yanjiao Wang and Xintian Jiang
To overcome the shortcomings of the lightning attachment procedure optimization (LAPO) algorithm, such as premature convergence and slow convergence speed, an enhanced lightning attachment procedure optimization (ELAPO) algorithm was proposed in this pap...
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Yanjiao Wang and Tianlin Du
An improved squirrel search algorithm (ISSA) is proposed in this paper. The proposed algorithm contains two searching methods, one is the jumping search method, and the other is the progressive search method. The practical method used in the evolutionary...
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Chong Zhou, Shengjie Li, Yuhe Zhang, Zhikun Chen and Cuijun Zhang
Backtracking Search Algorithm (BSA) is a younger population-based evolutionary algorithm and widely researched. Due to the introduction of historical population and no guidance toward to the best individual, BSA does not adequately use the information in...
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Daniel Olivares, Gerardo Romero, Jose A. Guerrero and Rogelio Lozano
DC motor speed synchronization is a critical problem in industrial and robotic applications. To tackle this problem, we propose to use a multi-agent consensus-based control scheme that guarantees the convergence of the DC motor speeds to either fixed or ...
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