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Yu. S. Barash,Kh. V. Kravchenko,M. F. Zianchuk
Pág. 44 - 56
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M. B. Kurgan,O. S. Chernyishova
Pág. 114 - 116
Research results of losses of the railways, related to weights of cargo trains, at occurrence of traffic speed restrictions on abrupt long up-grades are presented.
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O. M. Bondariev
Pág. 113 - 115
The article provides the results of theoretical calculations of short circuit emergency operation modes in supply circuits of the stator windings of asynchronous tractive motors at start-up of the locomotive, hauling a freight train.
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V. V. Zhuravel
Pág. 155 - 158
A type of regression equations is determined, which adequately describe correlation between the error of braking of sets of cars and the factors affecting mean duration of reining in on one processed car. The solution for problem of determination of mean...
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V. V. Kravchuk,I. I. Doronina,Ye. O. Kharin
Pág. 136 - 141
Based on the analysis of causes for damage of autocoupling devices in the trains of increased weight and lengths, the most probable reasons of train traffic safety disturbances have been shown. The ways of increasing the traffic safety and he causes of a...
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Yaojie Zhang, Huahu Xu, Junsheng Xiao and Minjie Bian
The real world is full of noisy labels that lead neural networks to perform poorly because deep neural networks (DNNs) are prone to overfitting label noise. Noise label training is a challenging problem relating to weakly supervised learning. The most ad...
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Ricardo P. Arciniega-Rocha, Vanessa C. Erazo-Chamorro, Paúl D. Rosero-Montalvo and Gyula Szabó
An erroneous squat movement might cause different injuries in amateur athletes who are not experts in workout exercises. Even when personal trainers watch out for the athletes? workout performance, light variations in ankles, knees, and lower back moveme...
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Mohamed Chetoui and Moulay A. Akhloufi
The simultaneous advances in deep learning and the Internet of Things (IoT) have benefited distributed deep learning paradigms. Federated learning is one of the most promising frameworks, where a server works with local learners to train a global model. ...
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Chao Sun, Haiyan Wang, Chao Liu and Ye Zhao
The demands for lower Energy Efficiency Operational Index (EEOI) reflect the requirements of international conventions for green shipping. Within this context it is believed that practical solutions for the dynamic optimization of a ship?s main engine an...
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Mario Corrales-Astorgano, Pastora Martínez-Castilla, David Escudero-Mancebo, Lourdes Aguilar, César González-Ferreras and Valentín Cardeñoso-Payo
Prosody is a fundamental speech element responsible for communicative functions such as intonation, accent and phrasing, and prosodic impairments of individuals with intellectual disabilities reduce their communication skills. Yet, technological resource...
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Kuei-Hsiang Chao, Min-Sen Yang and Chin-Pao Hung
This study proposes an islanding detection method for photovoltaic power generation systems based on a cerebellar model articulation controller (CMAC) neural network. First, islanding phenomenon test data were used as training samples to train the CMAC n...
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Hao Gu, Ming Chen and Dongmei Gan
The identification of gender in Chinese mitten crab juveniles is a critical prerequisite for the automatic classification of these crab juveniles. Aiming at the problem that crab juveniles are of different sizes and relatively small, with unclear male an...
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Sipho G. Thango, Georgios A. Drosopoulos, Siphesihle M. Motsa and Georgios E. Stavroulakis
A methodology to predict key aspects of the structural response of masonry walls under blast loading using artificial neural networks (ANN) is presented in this paper. The failure patterns of masonry walls due to in and out-of-plane loading are complex d...
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Yazeed S. Jweihan, Mazen J. Al-Kheetan and Musab Rabi
Moisture susceptibility is a complex phenomenon that induces various distresses in asphalt pavements and can be assessed by the Retained Stability Index (RSI). This study proposes a robust model to predict the RSI using a hybrid machine learning techniqu...
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Andrei Konstantinov, Stanislav Kirpichenko and Lev Utkin
A new method for estimating the conditional average treatment effect is proposed in this paper. It is called TNW-CATE (the Trainable Nadaraya?Watson regression for CATE) and based on the assumption that the number of controls is rather large and the numb...
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Zheyi Chen, Weixian Liao, Pu Tian, Qianlong Wang and Wei Yu
Distributed machine learning paradigms have benefited from the concurrent advancement of deep learning and the Internet of Things (IoT), among which federated learning is one of the most promising frameworks, where a central server collaborates with loca...
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Lijana Maskeliunaite and Henrikas Sivilevicius
Nowadays, travelers can use different modes of transport, and they usually choose the most suitable and reliable mode available. The choice of one mode of transport as an alternative to another is subjective. It is usually built upon passenger attitude t...
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Oleksij Fomin,Alyona Lovska,Oleksandr Kovtun,Volodymyr Nerubatskyi
Pág. 33 - 40
The longitudinal-dynamic load on a railroad train has been studied at its steady motion along the track of a homogeneous profile. A value of the longitudinal loading that a train is exposed to has been established. The calculations were carried out for a...
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Akshay M Mendhakar, Sreedevi N, Arunraj K, Jayashree C Shanbal
Pág. 1 - 7
Acoustical investigation of infant cries has been a clinical and research focus in the recent years. Findings of several studies reveal the importance of cry as a useful window for early detection of several diseases and communication difficulties such a...
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Andriy Sulym,Oleksij Fomin,Pavlo Khozia,Oleksii Palant,Vyacheslav Stamatin
Pág. 28 - 38
One of the essential, yet insufficiently studied, issues related to the implementation of onboard capacitive energy accumulators in the subway is determining their rational parameters (power and energy intensity). We have analyzed existing methods and ap...
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