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Tomasz Gajewski and Pawel Skiba
The main goal of this work is to combine the usage of the numerical homogenization technique for determining the effective properties of representative volume elements with artificial neural networks. The effective properties are defined according to the...
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Yoo-Chul Kim, Kwang-Soo Kim, Seongmo Yeon, Young-Yeon Lee, Gun-Do Kim and Myoungsoo Kim
This study proposes machine learning-based prediction models to estimate hull form performance. The developed models can predict the residuary resistance coefficient (CR" role="presentation">????CR
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Artemiy Belousov, Ivan Kisel, Robin Lakos and Akhil Mithran
Algorithms optimized for high-performance computing, which ensure both speed and accuracy, are crucial for real-time data analysis in heavy-ion physics experiments. The application of neural networks and other machine learning methodologies, which are fa...
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Belle Fille Murorunkwere, Origene Tuyishimire, Dominique Haughton and Joseph Nzabanita
Detecting tax fraud is a top objective for practically all tax agencies in order to maximize revenues and maintain a high level of compliance. Data mining, machine learning, and other approaches such as traditional random auditing have been used in many ...
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Faiza Riaz Khawaja, Jinfang Sheng, Bin Wang and Yumna Memon
Community detection, also known as graph clustering, in multi-layer networks has been extensively studied in the literature. The goal of community detection is to partition vertices in a network into densely connected components so called communities. Ne...
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Wenfeng Zheng, Xiangjun Liu and Lirong Yin
With the development of artificial intelligence, more and more people hope that computers can understand human language through natural language technology, learn to think like human beings, and finally replace human beings to complete the highly difficu...
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JaeHyung Park, JongHyun Lee, SiJin Kim and InSoo Lee
Authors are encouraged to provide a concise description of the specific application or a potential application of the work. This section is not mandatory.
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A rapid increase in the world’s population over the last century has triggered the transformation of the earth surface, especially in urban areas, where more than half of the global population live. Ghana is no exception and a high population growt...
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Bright Addae and Natascha Oppelt
A rapid increase in the world?s population over the last century has triggered the transformation of the earth surface, especially in urban areas, where more than half of the global population live. Ghana is no exception and a high population growth rate...
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Mehmet Yildirimoglu, Jiwon Kim
Pág. 1034 - 1041
This paper proposes a novel approach to identify the pockets of activity or the community structure in a city network using multilayer graphs that represent the movement of disparate entities (i.e. private vehicles, buses and passengers) in the network. ...
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Mojtaba Nayyeri, Modjtaba Rouhani, Hadi Sadoghi Yazdi, Marko M. Mäkelä, Alaleh Maskooki and Yury Nikulin
One of the main disadvantages of the traditional mean square error (MSE)-based constructive networks is their poor performance in the presence of non-Gaussian noises. In this paper, we propose a new incremental constructive network based on the correntro...
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Micael Coutinho, Jose A. Afonso and Sérgio F. Lopes
LoRa is one of the most popular low-power wireless network technologies for implementation of the Internet of Things, with the advantage of providing long-range communication, but lower data rates, when compared with technologies such as Zigbee or Blueto...
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Sayed Ali Vaez,Mohammad Banafi
Pág. 207 - 213
Recent scandals of companies in America (Adelfia, Enron) and Europe (Parmalt) have magnified transactions with related parties. Experience has shown that transactions with related parties not only can disrupt in create value for shareholders, but also ca...
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Ying-Yi Hong and Ching-Ping Wu
Bidding competition is one of the main transaction approaches in a deregulated electricity market. Locational marginal prices (LMPs) resulting from bidding competition and system operation conditions indicate electricity values at a node or in an area. T...
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Widya Nita Suliyanti and Riri Fitri Sari
A Practical Byzantine Fault Tolerance (PBFT) is a consensus algorithm deployed in a consortium blockchain that connects a group of related participants. This type of blockchain suits the implementation of the Building Information Modeling (BIM) informati...
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Dong Sui, Hanping Chen and Tingting Zhou
With the escalating complexity of surface operations at large airports, the conflict risk for aircraft taxiing has correspondingly increased. Usually, the Air Traffic Controllers (ATCOs) generate route, speed and holding instructions to resolve conflicts...
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Junghyun Kim and Kyuman Lee
Obtaining reliable wind information is critical for efficiently managing air traffic and airport operations. Wind forecasting has been considered one of the most challenging tasks in the aviation industry. Recently, with the advent of artificial intellig...
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Shuli Wang, Xuewen Li, Xiaomeng Kou, Jin Zhang, Shaojie Zheng, Jinlong Wang and Jibing Gong
Predicting users? next behavior through learning users? preferences according to the users? historical behaviors is known as sequential recommendation. In this task, learning sequence representation by modeling the pairwise relationship between items in ...
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Benjamin Plaster and Gautam Kumar
Modeling brain dynamics to better understand and control complex behaviors underlying various cognitive brain functions have been of interest to engineers, mathematicians and physicists over the last several decades. With the motivation of developing com...
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May Alsaidi, Nadim Obeid, Nailah Al-Madi, Hazem Hiary and Ibrahim Aljarah
Autism spectrum disorder (ASD) is a developmental disorder that encompasses difficulties in communication (both verbal and non-verbal), social skills, and repetitive behaviors. The diagnosis of autism spectrum disorder typically involves specialized proc...
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