Results 131 to 140 of about 3,502,968 (324)
EDXRF and Machine Learning for Predicting Soil Fertility Attributes
Soil fertility evaluation is fundamental for sustainable agricultural practices, often relying on conventional laboratory methods. These methods, while accurate, are labor-intensive, time-consuming, and require chemical reagents.
José Vinícius Ribeiro +10 more
doaj +1 more source
ABSTRACT The transition toward more sustainable and innovative agricultural systems increasingly relies on the integration of digital and enabling technologies (KETs). Although the technical and productive aspects of these innovations have been widely investigated, consumer acceptance remains less understood, despite its key role in fostering their ...
Giulio Cascone, Giuseppe Timpanaro
wiley +1 more source
ABSTRACT Reaching global net‐zero targets has become an urgent priority as businesses and nations face increasing pressure to reduce greenhouse gas emissions. Achieving carbon neutrality in manufacturing supply chains requires comprehensive systemic changes across business processes.
Vimal K. E. K. +5 more
wiley +1 more source
An empirical comparison of some missing data treatments in PLS-SEM.
PLS-SEM is frequently used in applied studies as an excellent tool for examining causal-predictive associations of models for theory development and testing. Missing data are a common problem in empirical analysis, and PLS-SEM is no exception.
Lateef Babatunde Amusa +1 more
doaj +1 more source
Aggregated functional data model for Near-Infrared Spectroscopy calibration and prediction [PDF]
Calibration and prediction for NIR spectroscopy data are performed based on a functional interpretation of the Beer-Lambert formula. Considering that, for each chemical sample, the resulting spectrum is a continuous curve obtained as the summation of ...
Dias, Ronaldo +3 more
core
ABSTRACT As businesses are increasingly integrating circular economy (CE) principles to promote concrete sustainability actions, understanding which managerial aspects may align with this change becomes paramount. Employing a conceptual framework based on Cognitive‐Affective Personality System (CAPS) and Organizational Support theories, this study ...
Fiorenza Meucci +3 more
wiley +1 more source
Robust Guidance Algorithmfor Reentry Vehicles based on PLS Regression in the Presence ofInitail Parameter Uncertainties [PDF]
The atmospheric re-entry phase is one of the most significantmission steps in the space missions;hence, theguidance and control of reentry vehicles in this phase of mission is important.
atefeh hoseinzadeh +2 more
doaj
ABSTRACT The increasing popularity of ecotourism in regions like Central America and the Caribbean, particularly in the Dominican Republic, necessitates a deeper understanding of how these businesses can integrate innovation with environmental sustainability.
Hayrold José Ureña‐Espaillat +2 more
wiley +1 more source
Background: Phantom limb pain (PLP) is highly prevalent after amputation. However, the influence of non-painful sensations (PLS) remains unclear. This study examines the PLP-PLS index as a novel tool to differentiate PLP from PLS and explores the ...
Jorge Ortega-Márquez +12 more
doaj +1 more source
FT-NIRS Coupled with PLS Regression as a Complement to HPLC Routine Analysis of Caffeine in Tea Samples. [PDF]
Ur Rehman N +6 more
europepmc +1 more source

