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Atefe Sedaghat, Homayoon Arbabkhah, Masood Jafari Kang and Maryam Hamidi
This research introduces an online system for monitoring maritime traffic, aimed at tracking vessels in water routes and predicting their subsequent locations in real time. The proposed framework utilizes an Extract, Transform, and Load (ETL) pipeline to...
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Tianao Qin, Ruixin Chen, Rufu Qin and Yang Yu
Time series prediction is an effective tool for marine scientific research. The Hierarchical Temporal Memory (HTM) model has advantages over traditional recurrent neural network (RNN)-based models due to its online learning and prediction capabilities. G...
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Hilmil Pradana
Predicting traffic risk incidents in first-person helps to ensure a safety reaction can occur before the incident happens for a wide range of driving scenarios and conditions. One challenge to building advanced driver assistance systems is to create an e...
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Hadi Winata and Nico Surantha
Monitoring battery voltage is important to ensure a steady supply of energy. A crucial aspect to avoid failure is estimating the voltage required by the battery load. Lead acid batteries play a vital role as engine starters when the generators are activa...
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Shunsuke Kitada, Hitoshi Iyatomi and Yoshifumi Seki
This work can be applied to support decisions to discontinue ad creatives, which is expected to reduce the load of ad operators. Currently, our framework is deployed in a production environment and provides predictions for our internal operators. Based o...
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Yixin Huang, Xiaojia Xiang, Han Zhou, Dengqing Tang and Yihao Sun
In order to solve the problem of how to efficiently control a large-scale swarm Unmanned Aerial Vehicle (UAV) system, which performs complex tasks with limited manpower in a non-ideal environment, this paper proposes a parallel UAV swarm control method. ...
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Musaddiq Al Karim, Mst. Yeasmin Ara, Md. Mahadi Masnad, Mostafa Rasel, Dip Nandi
Pág. 70 - 76
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Jiachen Sun and Peter A. Gloor
As the coronavirus disease 2019 (COVID-19) continues to rage worldwide, the United States has become the most affected country, with more than 34.1 million total confirmed cases up to 1 June 2021. In this work, we investigate correlations between online ...
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Baigang Huang, Jianjun Jiang and Zaojian Zou
A method based on a coarse- and fine-tuning fixed-grid wavelet networks is presented for online prediction of the coupled heave-pitch motions of a ship in irregular waves. The online modeling method contains two processes, i.e., coarse tuning and fine tu...
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Sk Alamgir Hossain, Yukun Bao, Najmul Hasan, Md Farijul Islam
Pág. 112 - 116
Online banking has become a vital instrument for delivering quality and easily reached banking services at the lowest possible time with ensuring affordability both for customers and service providers. Although this banking has huge potentials and benefi...
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Tarek Berghout, Leïla-Hayet Mouss, Ouahab Kadri, Lotfi Saïdi and Mohamed Benbouzid
The efficient data investigation for fast and accurate remaining useful life prediction of aircraft engines can be considered as a very important task for maintenance operations. In this context, the key issue is how an appropriate investigation can be c...
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Yaqiong Li, Tongxun Wang and Zhanfeng Deng
Voltage Regulation in Distribution Systems.
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Kai Zhang, Fei Zhao, Shoushan Luo, Yang Xin, Hongliang Zhu and Yuling Chen
With the development of intrusion detection, a number of the intelligence algorithms (e.g., artificial neural networks) are introduced to enhance the performance of the intrusion detection systems. However, many intelligence algorithms should be trained ...
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Zhigang Hu, Hui Kang and Meiguang Zheng
A distributed data stream processing system handles real-time, changeable and sudden streaming data load. Its elastic resource allocation has become a fundamental and challenging problem with a fixed strategy that will result in waste of resources or a r...
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Zhe Zheng, Bo Zou, Wenbin Wei and Wen Tian
The ability to accurately predict flight time of arrival in real time during a flight is critical to the efficiency and reliability of aviation system operations. This paper proposes a data-light and trajectory-based machine learning approach for the onl...
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Online word-of-mouth (eWOM) disseminated on social media contains a considerable amount of important information that can predict sales. However, the accuracy of sales prediction models using big data on eWOM is still unsatisfactory. We argue that eWOM c...
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Helen E. Dahlke, Zachary M. Easton, Daniel R. Fuka, M. Todd Walter and Tammo S. Steenhuis
In the northeastern United States (U.S.), watersheds and ecosystems are impacted by nonpoint source pollution (NPS) from agricultural activity. Where agricultural fields coincide with runoff-producing areas?so called hydrologically sensitive areas (HSA)?...
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Wei Shi, Jinzhu Zhang, Lina Li, Ziliang Li, Yanjie Zhang, Xiaoyan Xiong, Tao Wang and Qingxue Huang
Aiming at the robotization of the grinding process in the steel bar finishing process, the steel bar grinding robot can achieve the goal of fast, efficient, and accurate online grinding operation, a multi-layer forward propagating deep neural network (DN...
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Guojing Huang, Qingliang Chen and Congjian Deng
With the development of E-commerce, online advertising began to thrive and has gradually developed into a new mode of business, of which Click-Through Rates (CTR) prediction is the essential driving technology. Given a user, commodities and scenarios, th...
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Kangwen Sun, Siyu Liu, Huafei Du, Haoquan Liang and Xiao Guo
The stratospheric airship is a type of aerostat that uses solar energy as its power source and can fly continuously for months or even years in near space. The rapid and accurate prediction of the output power of its solar array is the key to maintaining...
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