Sweet potatoes are a substantial source of nutrition and can be added to processed foods in the form paste. The moisture starch contents these affect physicochemical properties sweet potato In this study, changes moisture, starch, ?-amylase content were measured for eight weeks after harvest. Using nondestructive near-infrared analyses chemometric models, predicted. partial least squares (PLS) ...

As wind energy development increases, accurate forecasting helps to develop sensible power generation plans and ensure a balance between supply demand. Machine-learning-based models possess exceptional predictive capabilities, data manipulation prior model training is also key focus of this research. This study trained deep Long Short-Term Memory (LSTM) neural network learn the processing resul...

Possibility of mapping the distribution of Arsenic and Chromium in a mining area was investigated using combination of (VNIR) reflectance spectroscopy and geostatistical analysis. Fifty five soil samples were gathered from a waste dump at Sarcheshmeh copper mine and VNIR reflectance spectra were measured in a laboratory. Savitzky- Golay first derivative was used as the main pre-processing metho...

Abstract The estimation of state health (SOH) a lithium-ion battery (LIB) is great significance to system safety and economic development. This paper proposes SOH method based on the SSA-Elman model for first time. To improve correlation rates between features capacity, combining median absolute deviation filtering Savitzky–Golay proposed process data. Based aging characteristics LIB, five with...

This study investigated the abilities of pre-processing, feature selection and machine-learning methods for the spectroscopic diagnosis of soil arsenic contamination. The spectral data were pre-processed by using Savitzky-Golay smoothing, first and second derivatives, multiplicative scatter correction, standard normal variate, and mean centering. Principle component analysis (PCA) and the RELIE...

Grapevine phenology observations are essential for ecological adaptability of grape varieties, crop management and crop modelling. Phenological events have traditionally been ground based, with observations mainly providing information concerning grape varieties over a limited spatial area and few inseason observations. Time-series of satellite imagery can rapidly provide a synoptic and objecti...

Individual alpha frequency (IAF) is a promising electrophysiological marker of interindividual differences in cognitive function. IAF has been linked with trait-like differences in information processing and general intelligence, and provides an empirical basis for the definition of individualized frequency bands. Despite its widespread application, however, there is little consensus on the opt...

O objetivo deste estudo foi classificar amostras de comprimidos contendo dipirona, cafeína e orfenadrina usando espectroscopia no infravermelho próximo e técnicas quimiométricas. O conjunto de dados foi de 300 espectros de amostras de três comprimidos por lote e quatro diferentes produtores. O pré-processamento foi realizado pelo algoritmo Savitzky-Golay com primeira derivada, janela de 17 pont...

Research in time-series remote sensing data is receiving increasing attention. With the availability of relatively short repeat cycle and high spatial resolution satellite data, the construction and application of high spatiotemporal remote sensing time-series data is promising. In this paper, we proposed a method to construct complete spatial time series data, with Savitzky-Golay filter for sm...

A considerable amount of research has focused on monitoring structural damage using Structural Health Monitoring (SHM) technologies, which has had recent advances. However, it is important to note the challenges and unresolved problems that disqualify currently developed monitoring systems. One of the frontline SHM technologies, the Electromechanical Impedance (EMI) technique, has shown its pot...