Entropy-based early detection of critical transitions in spatial vegetation fields
G Tirabassi, C Masoller - Proceedings of the National …, 2023 - National Acad Sciences
In semiarid regions, vegetated ecosystems can display abrupt and unexpected changes, ie,
transitions to different states, due to drifting or time-varying parameters, with severe …
transitions to different states, due to drifting or time-varying parameters, with severe …
Recurrence plots-based network attack classification using CNN-autoencoders
The advent of the Internet of Things, with the consequent changes in network architectures
and communication dynamics, has affected the security market by introducing further …
and communication dynamics, has affected the security market by introducing further …
[HTML][HTML] Optimization of soil background removal to improve the prediction of wheat traits with UAV imagery
AF Almeida-Ñauñay, AM Tarquis… - … and Electronics in …, 2023 - Elsevier
Grain yield and quality assessment based on remote sensing throughout the growth cycle
may contribute to achieve efficient and sustainable wheat production. A trial was conducted …
may contribute to achieve efficient and sustainable wheat production. A trial was conducted …
[HTML][HTML] Drought impact on cropland use monitored with AVIRIS imagery in Central Valley, California
During 2012–2016 California experienced the longest and most severe drought in the last
centuries. This water scarcity led to an increase in non-cultivated croplands during this …
centuries. This water scarcity led to an increase in non-cultivated croplands during this …
Machinability Measurements in Milling and Recurrence Analysis of Thin-Walled Elements Made of Polymer Composites
K Ciecieląg - Materials, 2023 - mdpi.com
The milling of polymer composites is a process that ensures dimensional and shape
accuracy and appropriate surface quality. The shaping of thin-walled elements is a …
accuracy and appropriate surface quality. The shaping of thin-walled elements is a …
Assessment of drought indexes on different time scales: A case in semiarid mediterranean grasslands
AF Almeida-Ñauñay, M Villeta, M Quemada… - Remote Sensing, 2022 - mdpi.com
Drought is a significant challenge to semiarid Mediterranean grasslands, Increasing the
accuracy of monitoring allows improving the conservation and management of these vital …
accuracy of monitoring allows improving the conservation and management of these vital …
Recurrence network and recurrence plot: A novel data analytic approach to molecular dynamics in thermal lensing
S Sankararaman - Journal of Molecular Liquids, 2022 - Elsevier
Unwrapping thermal-induced molecular dynamics has always been a fascinating area of
research in fluid dynamics. The paper is the first report on the development of recurrence …
research in fluid dynamics. The paper is the first report on the development of recurrence …
A novel framework for improving soil organic matter prediction accuracy in cropland by integrating soil, vegetation and human activity information
Remote sensing is an important tool for monitoring soil information. However, accurate
spatial modeling of soil organic matter (SOM) in areas with high vegetation coverage …
spatial modeling of soil organic matter (SOM) in areas with high vegetation coverage …
Introducing Mplots: scaling time series recurrence plots to massive datasets
Time series similarity matrices (informally, recurrence plots or dot-plots), are useful tools for
time series data mining. They can be used to guide data exploration, and various useful …
time series data mining. They can be used to guide data exploration, and various useful …
Recurrence Dynamic Modeling of Metropolitan Cellular Network Traffic
Y Li, Y Wang, M Hao, X Sun - Arabian Journal for Science and Engineering, 2024 - Springer
Cellular network traffic analysis is evolving as a pivotal means for detecting anomalous
behavior and assisting accurate prediction, which are indispensable for the advancement of …
behavior and assisting accurate prediction, which are indispensable for the advancement of …