Results 31 to 40 of about 2,123,628 (287)
SAT based Enforcement of Domotic Effects in Smart Environments [PDF]
, 2014 The emergence of economically viable and efficient sensor technology provided impetus to the development of smart devices (or appliances). Modern smart environments are equipped with a multitude of smart devices and sensors, aimed at delivering ...
D Bonino +11 more
core +1 more source
Materials & Design, 2020 Few studies have examined the process dependence of the pressure–specific volume–temperature (pvT) behavior of polymers. Especially, the specific volume variation during heating is often ignored, but for certain processing techniques such as plastic ...
Jian Wang +4 more
doaj +1 more source
Applied Sciences, 2021 This article demonstrates the use of data mining methods for evidence-based smart decision support in quality control. The data were collected in a measurement campaign which provided a new and potential quality measurement approach for manufacturing ...
Henna Tiensuu +3 more
doaj +1 more source
Quality and Reliability Engineering International, 2018 This article develops reliability models for systems subject to two dependent competing failure processes, considering the correlation between additional damage size on degradation in soft failure process and stress magnitude of shock load in hard ...
Jiayin Tang, Chongshuang Chen, Lei Huang
semanticscholar +1 more source
Pharmaceutics, 2020 Although Raman spectroscopy has been described as a potential process analytical technique for tablet coating, it has rarely been transferred from academic studies to commercial manufacturing applications.
Juliana Radtke +2 more
doaj +1 more source
Density-dependence can be revealed by modelling the variance in the stock–recruitment process: an application to flatfish [PDF]
ICES Journal of Marine Science, 2014 AbstractRecruitment success in marine species is mostly driven by the high and variable mortality of first life stages, and the relationships between stock and recruitment are then largely dominated by residual variability. We show that analysing the residual variability may provide insights on the density-dependence process occurring during the ...
Archambault, Benoit +3 more
openaire +2 more sources
Application of Generalized Cauchy Process on Modeling the Long-Range Dependence and Self-Similarity of Sea Surface Chlorophyll Using 23 years of Remote Sensing Data [PDF]
Frontiers in Physics, 2021 Understanding the temporal characteristics of sea surface chlorophyll (SSC) is helpful for marine environmental management. This study chose 10 time series of remote daily sea surface chlorophyll products from the European Space Agency during the period from July 29, 1998 to December 31, 2020.
Junyu He, Junyu He
openaire +2 more sources
Scientific Reports, 2022 This study introduces a novel platform to predict complex modulus variables as a function of the applied magnetic field and other imperative variables using machine learning.
Kasma Diana Saharuddin +8 more
doaj +1 more source
iQuantitator: A tool for protein expression inference using iTRAQ
BMC Bioinformatics, 2009 Background Isobaric Tags for Relative and Absolute Quantitation (iTRAQ™) [Applied Biosystems] have seen increased application in differential protein expression analysis.
Comte-Walters Susana +4 more
doaj +1 more source
Applying real options with reinforcement learning to assess commercial CCU deployment
Journal of CO2 Utilization, 2023 Carbon capture and utilization (CCU), which emerged as a means to reduce anthropogenic carbon emissions, has been highlighted to close the carbon cycle and combat climate change.
Jeehwan S. Lee +4 more
doaj +1 more source