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Torrey Wagner, Dennis Guhl and Brent Langhals
Given the emergence of China as a political and economic power in the 21st century, there is increased interest in analyzing Chinese news articles to better understand developing trends in China. Because of the volume of the material, automating the cate...
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Junjie Deng and Hongze Yu
Coastal and estuarine morphogenetic evolution has been affected by anthropogenic activities. Human activities have become an important external force for the future prediction of morphological evolution in ecosystem health. We have reviewed the existing ...
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Zhan Kong, Yaqi Cui, Wei Xiong, Fucheng Yang, Zhenyu Xiong and Pingliang Xu
Ship target identification is of great significance in both military and civilian fields. Many methods have been proposed to identify the targets using tracks information. However, most of existing studies can only identify two or three types of targets,...
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Xinxiang Lei, Wei Chen and Binh Thai Pham
The main purpose of this study was to apply the novel bivariate weights-of-evidence-based SysFor (SF) for landslide susceptibility mapping, and two machine learning techniques, namely the naïve Bayes (NB) and Radial basis function networks (RBFNetwork), ...
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Jeng-Fung Chen, Shih-Kuei Lo and Quang Hung Do
Predictions of cutting vibrations are necessary for improving the operational efficiency, product quality, and safety in the machining process, since the vibration is the main factor for resulting in machine faults. ?Cutting vibration? may be caused by s...
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Hanif Wira Saputra,Rahmaddeni Rahmaddeni
Pág. 138 - 148
Twitter is a social media platform that is quite widely used by the world community, especially people in Indonesia. Twitter is one of the social media that provides information, one of which is the increase in the price of crude oil which was recorded a...
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Lee K. Jones, Nathan H. Gartner, Michael Shubov, Chronis Stamatiadis, David Einstein
Pág. 887 - 900
This study develops new methods for network assessment and control by taking explicit account of demand variability and uncertainty using partial sensor and survey data while imposing equilibrium conditions during the data collection phase. The methods c...
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Jirí Ambros, Pavel Havránek, Veronika Valentová, Zuzana Krivánková, Radim Striegler
Pág. 4209 - 4217
The study objective is to compare three approaches to identification of hazardous road locations: (1) Traditional reactive accident-based approach, resulting in identification of accident black spots; (2) State-of-the-art empirical Bayes method using acc...
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Xiaoqin Lian, Xue Huang, Chao Gao, Guochun Ma, Yelan Wu, Yonggang Gong, Wenyang Guan and Jin Li
In recent years, the advancement of deep learning technology has led to excellent performance in synthetic aperture radar (SAR) automatic target recognition (ATR) technology. However, due to the interference of speckle noise, the task of classifying SAR ...
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Sapna Sadhwani, Baranidharan Manibalan, Raja Muthalagu and Pranav Pawar
The study in this paper characterizes lightweight IoT networks as being established by devices with few computer resources, such as reduced battery life, processing power, memory, and, more critically, minimal security and protection, which are easily vu...
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Abu Shad Ahammed, Aniebiet Micheal Ezekiel and Roman Obermaisser
During an emergency rescue operation, rescuers have to deal with many different health complications like cardiovascular, respiratory, neurological, psychiatric, etc. The identification process of the common health complications in rescue events is not v...
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Marvin F. Li, Patricia M. Glibert and Vyacheslav Lyubchich
Harmful algal blooms (HABs), events that kill fish, impact human health in multiple ways, and contaminate water supplies, have increased in frequency, magnitude, and impacts in numerous marine and freshwaters around the world. Blooms of the toxic dinofla...
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Huan Wang, Shi Qiu, Huping Ye and Xiaohan Liao
Plant growth is inevitably affected by diseases, and one effective method of disease detection is through the observation of leaf changes. To solve the problem of disease detection in complex backgrounds, where the distinction between plant diseases is h...
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Tala Talaei Khoei and Naima Kaabouch
Intrusion Detection Systems are expected to detect and prevent malicious activities in a network, such as a smart grid. However, they are the main systems targeted by cyber-attacks. A number of approaches have been proposed to classify and detect these a...
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Riccardo Naccarelli, Sara Casaccia, Michela Pirozzi and Gian Marco Revel
This paper describes a methodology to optimize the home sensor network to measure the Activities of Daily Living (ADLs) of older people using Machine Learning (ML) applied to synthetic data generated via a newly developed Smart Living Environment (SLE) s...
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Ibrahim Obeidat,Nabhan Hamadneh,Mouhammd Alkasassbeh,Mohammad Almseidin,Mazen Ibrahim AlZubi
Pág. pp. 70 - 84
Abstract? Network security engineers work to keep services available all the time by handling intruder attacks. Intrusion Detection System (IDS) is one of the obtainable mechanism that used to sense and classify any abnormal actions. Therefore, the IDS m...
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Marcio Andrey Teixeira, Tara Salman, Maede Zolanvari, Raj Jain, Nader Meskin and Mohammed Samaka
This paper presents the development of a Supervisory Control and Data Acquisition (SCADA) system testbed used for cybersecurity research. The testbed consists of a water storage tank?s control system, which is a stage in the process of water treatment an...
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Marcio Andrey Teixeira, Tara Salman, Maede Zolanvari, Raj Jain, Nader Meskin and Mohammed Samaka
This paper presents the development of a Supervisory Control and Data Acquisition (SCADA) system testbed used for cybersecurity research. The testbed consists of a water storage tank’s control system, which is a stage in the process of water treatm...
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Dani Gunawan, Amalia Amalia, Atras Najwan
Pág. 1 - 12
Collecting or harvesting data from the Internet is often done by using web crawler. General web crawler is developed to be more focus on certain topic. The type of this web crawler called focused crawler. To improve the datacollection performance, creati...
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Yussuf Ahmed, Muhammad Ajmal Azad and Taufiq Asyhari
In recent years, there has been a notable surge in both the complexity and volume of targeted cyber attacks, largely due to heightened vulnerabilities in widely adopted technologies. The Prediction and detection of early attacks are vital to mitigating p...
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