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Haohan Shi, Xiyu Shi and Safak Dogan
Audio inpainting plays an important role in addressing incomplete, damaged, or missing audio signals, contributing to improved quality of service and overall user experience in multimedia communications over the Internet and mobile networks. This paper p...
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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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Saad Said Alqahtany, Ahmad B. Alkhodre, Abdulwahid Al Abdulwahid and Manar Alohaly
Steganography is a widely used technique for concealing confidential data within images, videos, and audio. However, using text for steganography has not been sufficiently explored. Text-based steganography has the advantage of a low bandwidth overhead, ...
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Hua Yang, Shuxiang Zhang, Hao Shen, Gexiang Zhang, Xingquan Deng, Jianglin Xiong, Li Feng, Junxiong Wang, Haifeng Zhang and Shenyang Sheng
Text classification is one of the fundamental tasks in natural language processing and is widely applied in various domains. CNN effectively utilizes local features, while the Attention mechanism performs well in capturing content-based global interactio...
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Jin-Kyu Kang, Khonekeo Kingkhambang, Chang-Gu Lee and Seong-Jik Park
Phosphorus is an essential macroelement in plant growth and the human body, but excessive water enrichment with phosphorus is a global threat to water quality. To address this problem, the development of an efficient, affordable adsorbent for use in remo...
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Sheeraz Ahmed, Zahoor Ali Khan, Syed Muhammad Mohsin, Shahid Latif, Sheraz Aslam, Hana Mujlid, Muhammad Adil and Zeeshan Najam
Distributed denial of service (DDoS) attacks pose an increasing threat to businesses and government agencies. They harm internet businesses, limit access to information and services, and damage corporate brands. Attackers use application layer DDoS attac...
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Felipe C. Farias, Teresa B. Ludermir and Carmelo J. A. Bastos-Filho
In this paper we propose a procedure to enable the training of several independent Multilayer Perceptron Neural Networks with a different number of neurons and activation functions in parallel (ParallelMLPs) by exploring the principle of locality and par...
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Cheng Lin and Yunting Lin
Recently, metaheuristic algorithms have been recognized as applicable techniques for solving various computational complexities in energy problems. In this work, a powerful metaheuristic technique called the water cycle algorithm (WCA) is assessed for an...
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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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Ali Habeeb Askar, Endre Kovács and Betti Bolló
This study aimed to estimate the heating load (HL) and the cooling load (CL) of a residential building using neural networks and to simulate the thermal behavior of a four-layered wall with different orientations. The neural network models were developed...
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Muhammad Rehan Hakro, Aneel Kumar, Zaheer Almani, Mujahid Ali, Fahid Aslam, Roman Fediuk, Sergey Klyuev, Alexander Klyuev and Linar Sabitov
Numerical modelling can simulate the interaction between structural elements and the soil continuum in a piled-raft foundation. The present work utilized a two-dimensional finite element Plaxis 2D software to investigate the settlement, swelling, and str...
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Zhao Wang, Qingguo Xu and Weimin Li
Analyzing and predicting community evolution has many important applications in criminology, sociology, and other fields. In community evolution prediction, most of the existing research is simply calculating the features of the community, and then predi...
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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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Manasa Hegde, Yvonne Kavanagh, Brendan Duffy and Edmond F. Tobin
AA2024-T3 are widely used in various applications because of their exceptional physical properties. However, they are susceptible to corrosion and cavitation erosion in aggressive environments due to high concentration of copper. Sol-gel coatings in the ...
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Leonardo Ranaldi, Marco Gerardi and Francesca Fallucchi
When analyzing a financial asset, it is essential to study the trend of its time series. It is also necessary to examine its evolution and activity over time to statistically analyze its possible future behavior. Both retail and institutional investors b...
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Anzhen Qin, Zhilong Fan and Liuzeng Zhang
Precise estimation of reference evapotranspiration (ET0) is of significant importance in hydrologic processes. In this study, a genetic algorithm (GA) optimized back propagation (BP) neural network model was developed to estimate ET0 using different comb...
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Jun Kang, Zhi Xiong, Rong Wang and Ling Zhang
As to an aerospace vehicle, the flight span is large and the flight environment is complex. More than that, the existing navigation algorithms cannot meet the needs to provide accurate navigation parameters for aerospace vehicles, which results in the de...
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Jichao Zhang, Xiaolei Chong, Yazhi Wei, Zheng Bi and Qingkun Yu
Operation scheduling of apron support vehicles is an important factor affecting aircraft support capability. However, at present, the traditional support methods have the problems of low utilization rate of support vehicles and low support efficiency in ...
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Christian Wacker, Markus Köhler, Martin David, Franziska Aschersleben, Felix Gabriel, Jonas Hensel, Klaus Dilger and Klaus Dröder
Wire arc additive manufacturing (WAAM) is a direct energy deposition (DED) process with high deposition rates, but deformation and distortion can occur due to the high energy input and resulting strains. Despite great efforts, the prediction of distortio...
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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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