Revolutionary strategies analysis and proposed system for future infrastructure in internet of things
The Internet of Things (IoT) has changed the worldwide network of people, smart devices,
intelligent things, data, and information as an emergent technology. IoT development is still …
intelligent things, data, and information as an emergent technology. IoT development is still …
Discriminative globality and locality preserving graph embedding for dimensionality reduction
Graph embedding in dimensionality reduction has attracted much attention in the high-
dimensional data analysis. Graph construction in graph embedding plays an important role …
dimensional data analysis. Graph construction in graph embedding plays an important role …
Structural analysis based on unsupervised learning: Search for a characteristic low-dimensional space by local structures in atomistic simulations
Owing to the advances in computational techniques and the increase in computational
power, atomistic simulations of materials can simulate large systems with higher accuracy …
power, atomistic simulations of materials can simulate large systems with higher accuracy …
Theoretical framework in graph embedding-based discriminant dimensionality reduction
G Zhao, Z Zhou, J Zhang - Signal Processing, 2021 - Elsevier
Graph embedding-based discriminative dimensionality reduction has remained to be a
popular research topic over the past few decades. The weight functions in adjacent graphs …
popular research topic over the past few decades. The weight functions in adjacent graphs …
[PDF][PDF] Projection pursuit Random Forest using discriminant feature analysis model for churners prediction in telecom industry.
A major and demand issue in the telecommunications industry is the prediction of churn
customers. Churn describes the customer who attrites from the current provider to …
customers. Churn describes the customer who attrites from the current provider to …
Large Margin Graph Embedding‐Based Discriminant Dimensionality Reduction
Y Tian, X Feng - Scientific Programming, 2021 - Wiley Online Library
Discriminant graph embedding‐based dimensionality reduction methods have attracted
more and more attention over the past few decades. These methods construct an intrinsic …
more and more attention over the past few decades. These methods construct an intrinsic …
Effective weight function in graphs-based discriminant neighborhood embedding
G Zhao, Z Zhou, L Sun, J Zhang - International Journal of Machine …, 2023 - Springer
Graph embedding-based discriminative dimensionality reduction has attracted much more
attention over the past few decades. In constructing adjacent graphs in graph embedding …
attention over the past few decades. In constructing adjacent graphs in graph embedding …
Unsupervised learning-based structural analysis: Search for a characteristic low-dimensional space by local structures in atomistic simulations
Owing to the advances in computational techniques and the increase in computational
power, atomistic simulations of materials can simulate large systems with higher accuracy …
power, atomistic simulations of materials can simulate large systems with higher accuracy …
[PDF][PDF] Revolutionary Strategies Analysis and Proposed System for Future Infrastructure in Internet of Things. Sustainability 2022, 14, 71
The Internet of Things (IoT) has changed the worldwide network of people, smart devices,
intelligent things, data, and information as an emergent technology. IoT development is still …
intelligent things, data, and information as an emergent technology. IoT development is still …
[CITAZIONE][C] FACULTAD DE INGENIERÍA CIVIL CARRERA DE INGENIERÍA DE SISTEMAS
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