Results 21 to 30 of about 4,521,941 (297)
Energy Consumption Prediction Using Data Reduction and Ensemble Learning Techniques
Building energy problems have various kinds of aspects, one of which is the difficulty of measuring energy efficiency. With current data development, energy efficiency measurements can be made by developing predictive models to estimate future building ...
Marsa Thoriq Ahmada, Saiful Akbar
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BRAQUE: Bayesian Reduction for Amplified Quantization in UMAP Embedding. Supplementary data. [PDF]
We propose a Bayesian Reduction for Amplified Quantization in Umap Embedding (BRAQUE) as an integrative novel approach, from data preprocessing to phenotype classification.
Cattoretti, Giorgio
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Current quantum systems have significant limitations affecting the processing of large datasets with high dimensionality, typical of high energy physics.
Miguel Caçador Peixoto +6 more
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Reduction of Liquidity Proxies by Using Principal Component Analysis in Tehran Capital Markets [PDF]
The purpose of this study was to investigate the possibility of using principal component analysis method as a tool for data reduction of the proxies of stock liquidity in Tehran Stock Exchange (TSE). First, the initial set of proxies of stock liquidity (
Iraj Asghari +3 more
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Effective feature extraction and data reduction with hyperspectral imaging in remote sensing [PDF]
Although PCA has been widely used for feature extraction and data reduction, it suffers from three main drawbacks: high computational cost, large memory requirement and low efficacy in processing large datasets such as HSI.
Zabalza, Jaime +3 more
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Prognostics and Health Monitoring (PHM) of machinery is a research area with great relevance to industrial applications as it can serve as a foundation for safer, more cost-efficient operation and maintenance. The prediction of Remaining Useful Life (RUL)
German Sternharz +2 more
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Ohio youth tobacco survey (Online) [PDF]
Biennial; 2000-; Vol. for 2004 presents: Middle school data.; Description based on: 2000; title from cover (viewed Sept.
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PLS dimension reduction for classification of microarray data [PDF]
PLS dimension reduction is known to give good prediction accuracy in the context of classification with high-dimensional microarray data. In this paper, PLS is compared with some of the best state-of-the-art classification methods.
Boulesteix, Anne-Laure
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Assessing sedentary behavior using wearable devices: An overview and future directions
Accurate assessments of sedentary behavior are critically important to monitor the proportion of prolonged sedentary behavior, to investigate causal relationships with health outcomes, and to test the effectiveness of interventions aimed at reducing ...
Hiroyuki Sasai
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El abanico de métodos y técnicas cuantitativas utilizadas para la detección de variaciones de fondo en procesos de manufactura se circunscriben en una disciplina matriz, catalogada como control estadístico de procesos.
Rahmer, Bruno de Jesús +3 more
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