Canlyniadau Chwilio - data processing performance

Mechanical Properties of Advanced Multifunctional Coatings

Pynciau: “...data processing method...”
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Computational Intelligence and Soft Computing: Recent Applications

Pynciau: “...economic data...”
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Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education

Pynciau: “...functional data analysis...”
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A Geography of Unconventional Tourist Mobility: New Approaches and Methodologies

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Heat Transfer and Heat Recovery Systems

Pynciau: “...data center...”
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Computer-assisted simultaneous interpreting gan Prandi, Bianca

“...Quantitative and qualitative data were collected during an eyetracking experiment at the Translation & Cognition Centre of the University of Mainz. ...”
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Towards Smart Tech 4.0 in the Built Environment

Pynciau: “...image processing...”
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Numerical Modeling in Energy and Environment

Pynciau: “...data center...”
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Lean Manufacturing and Industry 4.0

Pynciau: “...operation process...”
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Precise GNSS Positioning and Navigation: Methods, Challenges, and Applications

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10th Anniversary of Actuators

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Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics

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Advanced Machine Learning and Deep Learning Approaches for Remote Sensing

“...The papers published in this reprint describe recent advances in big data processing and artificial intelligence-based technologies for remote sensing technology....”
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Applied Machine Learning

Pynciau: “...educational data mining...”
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Review Papers in Big Data, Cloud-Based Data Analysis and Learning Systems

“...The use of advanced and scalable algorithms, along with parallel programming frameworks and high-performance computers, is commonly used to solve Big Data problems and obtain valuable information and learning processes in a reasonable time. ...”
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Hypergraph Computation gan Dai, Qionghai, Gao, Yue

“...In the last decade, methods like graph-based learning and neural network methods have been developed to process such data, they are particularly suitable for handling relational learning tasks. ...”
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Chapter A paradata-driven statistical approach to improve fieldwork monitoring: the case of the Non-Profit Institutions census gan Nuccitelli, Alessandra, Arlotta, Luigi, Giacummo, Maura, Fazzi, Gabriella, Murgia, Manuela, Rossetti , Francesca, Parisi, Valentino, Piergiovanni, Roberta

“...A complex process requires relevant information on the crucial nodes of the process itself to make more effective decisions. ...”
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Chapter Trusted Smart Statistics: new statistics for decision makers. The Istat’s experience gan De Cubellis, Massimo, Grippo, Gerarda

“...Istat, thanks to new data sources, increasingly performing technologies and specific skills, has positively seized the opportunities offered by the general context and has recently established a Trusted Smart Statistics Center (TSS Center) to have a governing body that systematically guides organizational adaptation at a technological, methodological, ethical, legal, communication and human resource level. ...”
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Engineering Innovations in Agriculture

Pynciau: “...synthetic data...”
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Various Deep Learning Algorithms in Computational Intelligence

“...Unlike traditional and machine learning methods, deep learning techniques emulate the human brain's neural networks at a lower scale, allowing them to process and analyze substantial quantities of unstructured data. ...”
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