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Grover Zurita,Vinicio Sánchez,Diego Cabrera
In the industry, gears and rolling bearings failures are one of the foremost causes of breakdown in rotating machines, reducing availability time of the production and resulting in costly systems downtime. Therefore, there are growing demands for vibrati...
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Sevda Mozaffari, Erfan Amini, Hossein Mehdipour and Mehdi Neshat
The significance of spillways is to allow the flood to be safely discharged from downstream. There is a strong correlation between the poor design of spillways and the failures of dams. In order to address this concern, the present study investigates the...
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Shilin Qiu, Qihe Liu, Shijie Zhou and Chunjiang Wu
In recent years, artificial intelligence technologies have been widely used in computer vision, natural language processing, automatic driving, and other fields. However, artificial intelligence systems are vulnerable to adversarial attacks, which limit ...
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Arijit Sengupta,Sandeep Purao
A definition for a document type within an organization represents an organizational norm about the way the organizational actors represent products and supporting evidence of organizational processes. Generating a good organization-specific document str...
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William Villegas-Ch, Isabel Urbina-Camacho and Joselin García-Ortiz
Using camera-based algorithms to detect abnormal patterns in children?s handwriting has become a promising tool in education and occupational therapy. This study analyzes the performance of a camera- and tablet-based handwriting verification algorithm to...
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Arsenii O. Tretiakov,Olga G. Filatova,Denis V. Zhuk,Natalia N. Gorlushkina,Antonina A. Puchkovskaya
Pág. 99 - 105
The article presents a method developed by the authors for identify fake news in social networks. A review of publications on the topic of fake news shows that although there is still no single definition of this concept, the interest in fakes is enormou...
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Razvan Paroiu and Stefan Trausan-Matu
In this paper, a new method that computes the aesthetics of a melody fragment is proposed, starting from dissonances. While music generated with artificial intelligence applications may be produced considerably more quickly than human-composed music, it ...
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Abdul Malek Yaakob, Shahira Shafie, Alexander Gegov, Siti Fatimah Abdul Rahman and Ku Muhammad Naim Ku Khalif
Large-scale group decision-making (LSGDM) has become common in the new era of technology development involving a large number of experts. Recently, in the use of social network analysis (SNA), the community detection method has been highlighted by resear...
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Kyoungsoon Min and Daeeun Lim
The modern logistics industry is grappling with significant challenges brought about by rapid market transformations. These challenges encompass workforce shortages, the increasing complexity of diverse logistics systems, environmental concerns arising f...
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William Villegas-Ch., Angel Jaramillo-Alcázar and Aracely Mera-Navarrete
This research was aimed at designing an image recognition system that can help increase children?s interest in learning natural numbers between 0 and 9. The research method used was qualitative descriptive, observing early childhood learning in a face-to...
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Sung-Lin Hsueh, Yue Sun, Yihang Zhang, Nan Xiao and Teen-Hang Meen
Many countries aim to promote low-carbon and eco-friendly development and find a route to sustainable development. For such development, a model that helps design and build appropriate constructions is necessary. Thus, this study is carried out to establ...
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Xingping Sun, Chang Chen, Lu Wang, Hongwei Kang, Yong Shen and Qingyi Chen
Since the beginning of the 21st century, research on artificial intelligence has made great progress. Bayesian networks have gradually become one of the hotspots and important achievements in artificial intelligence research. Establishing an effective Ba...
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Tung Lam Pham, Huy Nguyen, Trang Nguyen and Yeong Min Jang
This paper proposes a novel method of training and applying a neural network to act as an adaptive decoder for a modulation scheme used in optical camera communication (OCC). We present a brief discussion on trending artificial intelligence applications,...
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Dimitris J. Apostolopoulos, Ioannis D. Apostolopoulos, Nikolaos D. Papathanasiou, Trifon Spyridonidis and George S. Panayiotakis
The pre-operative localisation of abnormal parathyroid glands (PG) in parathyroid scintigraphy is essential for suggesting treatment and assisting surgery. Human experts examine the scintigraphic image outputs. An assisting diagnostic framework for local...
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Shaoyong Han, Zhun Zhu, Mina Mortazavi, Ahmed M. El-Sherbeeny and Peyman Mehrabi
The aim of this paper is to study the performance of a composite floor system at different heat stages using artificial intelligence to derive a sustainable design and to select the most critical factors for a sustainable floor system at elevated tempera...
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Jeonggeun Jo, Jaeik Cho and Jongsub Moon
Artificial intelligence (AI) is increasingly being utilized in cybersecurity, particularly for detecting malicious applications. However, the black-box nature of AI models presents a significant challenge. This lack of transparency makes it difficult to ...
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Furkan Kayim,Atinç Yilmaz
Pág. 16 - 24
In ancient times, trade was carried out by barter. With the use of money and similar means, the concept of financial instruments emerged. Financial instruments are tools and documents used in the economy. Financial instruments can be foreign exchange rat...
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N.N. Goglev,S.A. Migalin,E.V. Kasatkina
Pág. 111 - 119
The use of artificial intelligence technologies and big data analysis in risk management makes it possible to reduce the burden on experts and reduce the influence of the human factor in risk assessment. These technologies are well studied and actively u...
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Eungyu Lee, Yongsoo Lee and Teajin Lee
Many studies attempt to apply artificial intelligence (AI) to cyber security to effectively cope with the increasing number of cyber threats. However, there is a black box problem such that it is difficult to understand the basis for AI prediction. False...
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Do-Hyun Lee, Sang-Hun Lee, Saem-Ee Woo, Min-Woong Jung, Do-yun Kim and Tae-Young Heo
Odor is a very serious problem worldwide. Thus, odor prediction research has been conducted consistently to help prevent odor. Odor substances that are complex odors are known, but complex odors and odor substances do not have a linear dependence. In add...
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