Zobrazeno 1 - 10
of 1 486
pro vyhledávání: '"Partial least squares regression"'
A near infrared spectroscopy calibration for the prediction of fresh grass quality on Irish pastures
Publikováno v:
Information Processing in Agriculture. 9:243-253
The aim of this study was to develop near infrared spectroscopy (NIRS) calibrations to predict quality parameters, dry matter (DM, g kg−1) and crude protein (CP, g kg−1 DM), in fresh un-dried grass. Knowledge of these parameters would enable more
Autor:
Ibrahim Ziedan, Medhat Abd el Azem El Sayed Rostum, Hassan Mohamed Mahmoud Moustafa, Amr Zamel
Publikováno v:
COMPEL - The international journal for computation and mathematics in electrical and electronic engineering. 41:209-237
Purpose The current challenge for forecasting smart meters electricity consumption lies in the uncertainty and volatility of load profiles. Moreover, forecasting the electricity consumption for all the meters requires an enormous amount of time. Most
Publikováno v:
Information Sciences. 580:152-173
Using cross-asset return data in global financial markets, we propose a novel empirical framework to identify the causal structure of the asset risk spillover network. The joint return distribution of the global financial system can be characterized
Publikováno v:
Information Sciences. 574:590-605
Classical statistical learning techniques struggle to perform feature selection in high-dimensional data that includes interaction effects i.e., when independent feature/s influence the effect of another feature on study outcome. Methods like penaliz
Publikováno v:
IEEE Transactions on Industrial Informatics. 17:6664-6675
Operation safety and efficiency are two main concerns in power plants. It is important to detect the anomalies in power plants, and further judge whether they affect key performance indicators (KPIs), such as the thermal efficiency. These two goals c
Publikováno v:
Journal of Process Control. 105:129-140
In fault diagnosis, partial least squares (PLS) is a popular data-driven method to identify abnormal key performance indicators (KPI). However, there are two problems in fault diagnosis when using PLS, including inaccurate fault subspace extraction a
Publikováno v:
Information Sciences. 561:52-69
Face super-resolution (FSR) is an effective way to deal with low-resolution (LR) face images, which can infer the latent high-resolution (HR) face images from the LR inputs. In contrast with traditional FSR methods such as interpolation, learning-bas
Autor:
Bhabani S. Das, Niranjan Panigrahi
Publikováno v:
Information Processing in Agriculture, Vol 8, Iss 2, Pp 284-298 (2021)
Optical remote sensing (RS) with robust algorithms is needed for accurate assessment of crop canopy features. Despite intensive studies on algorithms, their performance using RS needs to be improved. We evaluated five different algorithms (partial-le
Publikováno v:
Applied Sciences; Volume 13; Issue 8; Pages: 4812
Optimization of agricultural practices is key for facing the challenges of modern agri-food systems, which are expected to satisfy a growing demand of food production in a landscape characterized by a reduction in cultivable lands and an increasing a
Publikováno v:
Statistical Analysis and Data Mining: The ASA Data Science Journal. 14:315-330
High‐throughput data representing large mixtures of chemical or biological signals are ordinarily produced in the molecular sciences. Given a number of samples, partial least squares (PLS)...