Predicting industrial building energy consumption with statistical and machine-learning models informed by physical system parameters
The industrial sector consumes about one-third of global energy, making them a frequent
target for energy use reduction. Variation in energy usage is observed with weather …
target for energy use reduction. Variation in energy usage is observed with weather …
[HTML][HTML] Detecting emotions through electrodermal activity in learning contexts: A systematic review
There is a strong increase in the use of devices that measure physiological arousal through
electrodermal activity (EDA). Although there is a long tradition of studying emotions during …
electrodermal activity (EDA). Although there is a long tradition of studying emotions during …
[HTML][HTML] Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study
The 2019 novel coronavirus (renamed SARS-CoV-2, and generally referred to as the COVID-
19 virus) has spread to 184 countries with over 1.5 million confirmed cases. Such major viral …
19 virus) has spread to 184 countries with over 1.5 million confirmed cases. Such major viral …
[HTML][HTML] Multiple-layer image encryption utilizing fractional-order chen hyperchaotic map and cryptographically secure prngs
Image encryption is increasingly becoming an important area of research in information
security and network communications as digital images are widely used in various …
security and network communications as digital images are widely used in various …
[PDF][PDF] Sobre el uso adecuado del coeficiente de correlación de Pearson: definición, propiedades y suposiciones
El coeficiente de correlación de Pearson es una medida considerablemente utilizada en
diversas áreas del quehacer científico, desde estudios técnicos, econométricos o de …
diversas áreas del quehacer científico, desde estudios técnicos, econométricos o de …
[HTML][HTML] Application of dna coding, the lorenz differential equations and a variation of the logistic map in a multi-stage cryptosystem
The need for information security has become urgent due to the constantly changing nature
of the Internet and wireless communications, as well as the daily generation of enormous …
of the Internet and wireless communications, as well as the daily generation of enormous …
Spatial-temporal residential short-term load forecasting via graph neural networks
Electric load forecasting, especially short-term load forecasting, is of significant importance
for the safe and efficient operation of power grids. With the wide adoption of advanced smart …
for the safe and efficient operation of power grids. With the wide adoption of advanced smart …
[HTML][HTML] The ecological clusters of soil organisms drive the ecosystem multifunctionality under long-term fertilization
YF Wang, P Chen, FH Wang, WX Han, M Qiao… - Environment …, 2022 - Elsevier
Long-term fertilization is known to impact the biodiversity and community structures of soil
organisms, which are responsible for multiple soil ecosystem functions (multifunctionality) …
organisms, which are responsible for multiple soil ecosystem functions (multifunctionality) …
[HTML][HTML] Hyperchaotic maps and the single neuron model: A novel framework for chaos-based image encryption
With the explosion of the generation, transmission and sharing of image data over the
Internet and other unsecured networks, the need for and significance of the development of …
Internet and other unsecured networks, the need for and significance of the development of …
Remaining useful life prediction of lithium-ion batteries using a hybrid model
F Yao, W He, Y Wu, F Ding, D Meng - Energy, 2022 - Elsevier
Accurately predicting the remaining useful life (RUL) of lithium-ion batteries is critical to the
stable operation and timely maintenance of a battery system. However, the capacity of an …
stable operation and timely maintenance of a battery system. However, the capacity of an …