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Minería de datos
2
Negocios
2
Algoritmos en informática
1
Análisis multivariante
1
Data of trees of the same age, but established in different years, were analyzed
1
El rendimiento maderable ha sido sostenido con base en la estabilidad o aumento de las dimensiones de los árboles
1
Ingeniería química
1
La propuesta del procedimiento se ejemplificó utilizando datos de Pinus patula de Oaxaca, México
1
Pinus patula
1
Procesamiento de datos
1
Procesamiento electrónico de datos
1
Se analizaron datos de árboles de la misma edad, pero establecidos en años diferentes
1
Teoría del transporte
1
The procedure proposal was exemplified using Pinus patula data from Oaxaca, Mexico
1
Timber yield has been sustained based on stability or enhancement of trees dimensions
1
a posteriori measurement
1
manejo forestal sostenible
1
medición a posteriori
1
producción maderable
1
rendimiento sostenido
1
sustainable forest management
1
sustained yield
1
timber production
1
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223“…Hence, in order to improve the accuracy of bus single-trip time prediction, five prediction algorithms including LSTM (Long Short-term Memory), LR (Linear Regression), KNN (K-Nearest Neighbor), XGBoost (Extreme Gradient Boosting), and GRU (Gate Recurrent Unit) are used and examined as the base models, and three ensemble models are further constructed by using various ensemble methods including Random Forest (bagging), AdaBoost (boosting), and Linear Regression (stacking). …”
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224“…In order to solve the problem of limited linearity and frame rate in the large array infrared (IR) readout integrated circuit (ROIC), a high-linearity and high-speed readout method based on adaptive offset compensation and alternating current (AC) enhancement is proposed in this paper. …”
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225por Soares dos Santos, Marco P., Ferreira, Jorge A. F., Simões, José A. O., Pascoal, Ricardo, Torrão, João, Xue, Xiaozheng, Furlani, Edward P.“…The ability of levitation-based harvesting systems to operate autonomously for long periods of time makes them well-suited for self-powering a broad range of technologies. …”
Publicado 2016
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226por Cartocci, Nicholas, Napolitano, Marcello R., Crocetti, Francesco, Costante, Gabriele, Valigi, Paolo, Fravolini, Mario L.“…Using the multivariate adaptive regression splines (MARS) algorithm, these relationships are identified directly from the data. Next, the non-linear redundancy relationships are linearized to derive a local time-dependent fault signature matrix. …”
Publicado 2022
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227por Teichert, Tobias, Gnanateja, G. Nike, Sadagopan, Srivatsun, Chandrasekaran, Bharath“…Here we explore the utility of a deconvolution approach based on the assumption that FFR(ENV) and FFR(TFS) reflect the linear superposition of responses that are triggered by the glottal pulse in each cycle of the fundamental frequency (F0 responses). …”
Publicado 2022
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229“…A multivariate dynamic linear model was used to monitor influenza activity throughout epidemics based on all available data. …”
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230por Mishra, Ashwini Kumar, Jarwal, Deepak Kumar, Mukherjee, Bratindranath, Kumar, Amit, Ratan, Smrity, Tripathy, Manas Ranjan, Jit, Satyabrata“…This paper explores gold nanoparticle (GNP) modified copper oxide nanowires(CuO NWs)based electrode grown on copper foil for non-enzymatic glucose detection in a wide linear ranging up to 31.06 mM, and 44.36 mM at 0.5 M NaOH and 1 M NaOH concentrations. …”
Publicado 2020
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231“…This paper proposes a time-frequency algorithm based on short-time fractional order Fourier transformation (STFRFT) for identification of a complicated movement targets. …”
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232por Miller, Joel“…Linear chain substances span a large cross section of contemporary chemistry ranging from covalent polymers, to organic charge transfer com plexes to nonstoichiometric transition metal coordination complexes. …”
Publicado 1982
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233“…We show how DL can be employed in the imputation of multivariate time series. We use a structured dictionary, which is comprised of one block for each time series and a common block for all the time series. …”
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234“…The classifier is Elman neural network (ENN), and it is a supervised classification based on features extracted from the system. Through the techniques of image filtering, image opening operation, skeleton extraction, principal component analysis (PCA), image binarization algorithm and Pseudo–Zernike moments, etc., the features are extracted from the Choi–Williams time-frequency distribution (CWD) image of the received data. …”
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236por Wang, Qing, Yang, Yang, Ni, Xu, Xu, Ye-Long, Sun, Xiao-Chen, Chen, Ze-Guo, Feng, Liang, Liu, Xiao-ping, Lu, Ming-Hui, Chen, Yan-FengEnlace del recurso
Publicado 2015
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238por Makowski, Dariusz, Koprek, Waldemar, Jezynski, Tomasz, Piotrowski, Adam, Jablonski, Grzegorz, Jalmuzna, Wojciech, Czuba, Krzysztof, Predki, Paweł, Simrock, StefanEnlace del recurso
Publicado 2011
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239“…Traffic prediction is based on modeling the complex non-linear spatiotemporal traffic dynamics in road network. …”
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240“…Our second model (trained with Surrogate Gradient Descent method) shows that non-linear decoding of the linearly extracted temporal features through spiking neurons not only achieves promising results, but also offers low computation-overhead by significantly reducing the number of neurons compared to the popular LSM based models—more than 40x reduction with respect to the recent spiking model we compare with. …”
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