Výsledky vyhledávání - "Archives of computational methods in engineering"

Multiscale Computational Homogenization: Review and Proposal of a New Enhanced-First-Order Method Autor Otero, Fermin, Oller, Sergio, Martinez, Xavier

“…The continuous increase of computational capacity has encouraged the extensive use of multiscale techniques to simulate the material behaviour on several…”
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Correction to: A Cross-Systematic Review of Addressing Risks in Building Information Modelling-Enabled International Construction Projects Autor Ganbat, Tsenguun, Chong, Heap-Yih, Liao, Pin-Chao, Lee, Cen-Ying

“… in “Archives of Computational Methods in Engineering”, the authors state that in the published Acknowledgements section one of the funding numbers is not correct…”
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Encapsulated PGD Algebraic Toolbox Operating with High-Dimensional Data Autor Díez, P., Zlotnik, S., García-González, A., Huerta, A.

“…In its original conception, proper generalized decomposition (PGD) provides explicit parametric solutions, denoted as computational vademecums or digital…”
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Particle Swarm Optimization Algorithm and Its Applications: A Systematic Review Autor Gad, Ahmed G.

“…Throughout the centuries, nature has been a source of inspiration, with much still to learn from and discover about. Among many others, Swarm Intelligence…”
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A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning Autor Dargan, Shaveta, Kumar, Munish, Ayyagari, Maruthi Rohit, Kumar, Gulshan

“…Nowadays, deep learning is a current and a stimulating field of machine learning. Deep learning is the most effective, supervised, time and cost efficient…”
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Image Fusion Techniques: A Survey: Image Fusion Techniques: A Survey Autor Kaur, Harpreet, Koundal, Deepika, Kadyan, Virender

“…The necessity of image fusion is growing in recently in image processing applications due to the tremendous amount of acquisition systems. Fusion of images is…”
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A Comprehensive Review on Multi-objective Optimization Techniques: Past, Present and Future Autor Sharma, Shubhkirti, Kumar, Vijay

“…Realistic problems typically have many conflicting objectives. Therefore, it is instinctive to look at the engineering problems as multi-objective optimization…”
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A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challenges Autor Thakkar, Ankit, Lohiya, Ritika

“…Internet of Things (IoT) is widely accepted technology in both industrial as well as academic field. The objective of IoT is to combine the physical…”
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Computer Vision Techniques in Construction: A Critical Review Autor Xu, Shuyuan, Wang, Jun, Shou, Wenchi, Ngo, Tuan, Sadick, Abdul-Manan, Wang, Xiangyu

“…Computer vision has been gaining interest in a wide range of research areas in recent years, from medical to industrial robotics. The architecture, engineering…”
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Signal Processing Techniques for Vibration-Based Health Monitoring of Smart Structures Autor Amezquita-Sanchez, Juan Pablo, Adeli, Hojjat

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A Review of Hydraulic Fracturing Simulation Autor Chen, Bin, Barboza, Beatriz Ramos, Sun, Yanan, Bai, Jie, Thomas, Hywel R, Dutko, Martin, Cottrell, Mark, Li, Chenfeng

“…Along with horizontal drilling techniques, multi-stage hydraulic fracturing has improved shale gas production significantly in past decades. In order to…”
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Machine Learning Algorithms in Civil Structural Health Monitoring: A Systematic Review Autor Flah, Majdi, Nunez, Itzel, Ben Chaabene, Wassim, Nehdi, Moncef L.

“…Applications of Machine Learning (ML) algorithms in Structural Health Monitoring (SHM) have become of great interest in recent years owing to their superior…”
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Modeling Strategies for the Computational Analysis of Unreinforced Masonry Structures: Review and Classification Autor D’Altri, Antonio Maria, Sarhosis, Vasilis, Milani, Gabriele, Rots, Jan, Cattari, Serena, Lagomarsino, Sergio, Sacco, Elio, Tralli, Antonio, Castellazzi, Giovanni, de Miranda, Stefano

“…Masonry structures, although classically suitable to withstand gravitational loads, are sensibly vulnerable if subjected to extraordinary actions such as…”
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Machine Learning and Deep Learning Based Computational Techniques in Automatic Agricultural Diseases Detection: Methodologies, Applications, and Challenges Autor Wani, Javaid Ahmad, Sharma, Sparsh, Muzamil, Malik, Ahmed, Suhaib, Sharma, Surbhi, Singh, Saurabh

“…Plant disease detection is a critical issue that needs to be focused on for productive agriculture and economy. Detecting plant disease using traditional…”
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A Survey of Learning-Based Intelligent Optimization Algorithms Autor Li, Wei, Wang, Gai-Ge, Gandomi, Amir H.

“…A large number of intelligent algorithms based on social intelligent behavior have been extensively researched in the past few decades, through the study of…”
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A Review of Multi-objective Optimization: Methods and Algorithms in Mechanical Engineering Problems Autor Pereira, João Luiz Junho, Oliver, Guilherme Antônio, Francisco, Matheus Brendon, Cunha, Sebastião Simões, Gomes, Guilherme Ferreira

“…The optimization problems that must meet more than one objective are called multi-objective optimization problems and may present several optimal solutions…”
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Weather Forecasting for Renewable Energy System: A Review Autor Meenal, R., Binu, D., Ramya, K. C., Michael, Prawin Angel, Vinoth Kumar, K., Rajasekaran, E., Sangeetha, B.

“…Energy crisis and climate change are the major concerns which has led to a significant growth in the renewable energy resources which includes mainly the solar…”
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A Comprehensive Overview of Image Enhancement Techniques Autor Qi, Yunliang, Yang, Zhen, Sun, Wenhao, Lou, Meng, Lian, Jing, Zhao, Wenwei, Deng, Xiangyu, Ma, Yide

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Fifty Shades of Brain: A Review on the Mechanical Testing and Modeling of Brain Tissue Autor Budday, Silvia, Ovaert, Timothy C., Holzapfel, Gerhard A., Steinmann, Paul, Kuhl, Ellen

“…Brain tissue is not only one of the most important but also the most complex and compliant tissue in the human body. While long underestimated, increasing…”
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A Systematic Review of Hidden Markov Models and Their Applications Autor Mor, Bhavya, Garhwal, Sunita, Kumar, Ajay

“…The hidden Markov models are statistical models used in many real-world applications and communities. The use of hidden Markov models has become predominant in…”
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