Results 1 to 10 of about 114,824,718 (296)

Geomorphological Characterization of the Colombian Orinoquia

Land
The Colombian Orinoquia was shaped within a tectonic and sedimentary framework linked to the uplift of the Andean cordilleras during the Oligocene–Miocene.
Larry Niño, Alexis Jaramillo-Justinico, Víctor Villamizar, Orlando Rangel, Vladimir Minorta-Cely, Daniel Sánchez-Mata   +5 more
doaj   +1 more source

An Improved Approach for Downscaling Coarse-Resolution Thermal Data by Minimizing the Spatial Averaging Biases in Random Forest

Remote Sensing, 2020
Land surface temperature (LST) plays a fundamental role in various geophysical processes at varying spatial and temporal scales. Satellite-based observations of LST provide a viable option for monitoring the spatial-temporal evolution of these processes.
Sammy M. Njuki, Chris M. Mannaerts, Zhongbo Su   +2 more
doaj   +1 more source

Maximum entropy modelling of sub-optimal transport

Communications Physics
Many natural systems involve structures shaped by competing forces: efficiency, randomness, and incomplete information. To the best of our knowledge, there is currently no robust method to assess the presence of optimization processes in real networks ...
Lorenzo Buffa, Dario Mazzilli, Riccardo Piombo, Fabio Saracco, Giulio Cimini, Aurelio Patelli   +5 more
doaj   +1 more source

Physical, Chemical and Biological Effects on Soil Bacterial Dynamics in Microscale Models

Frontiers in Ecology and Evolution, 2020
Soil is populated by highly diverse microbial communities mediating important processes and functions. The distribution of microbes, however, is neither uniform nor random.
Sara König, Hans-Jörg Vogel, Hauke Harms, Hauke Harms, Anja Worrich   +4 more
doaj   +1 more source

Large deviations for Branching Processes in Random Environment

, 2008
A branching process in random environment $(Z_n, n \in \N)$ is a generalization of Galton Watson processes where at each generation the reproduction law is picked randomly. In this paper we give several results which belong to the class of {\it large deviations}.
Berestycki, J., Bansaye, V.
openaire   +3 more sources

Automated Detection of Recent Mud Extrusions Using UAV Imagery and Deep Learning: A Comparative Analysis of Traditional and CNN-Based Approaches [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Mud volcanoes are geological formations resulting from the expulsion of mud, gases, and fluids from deep underground. Monitoring these formations provides critical insights into subsurface processes and geological hazards. This study focuses on detecting
M. Guastella, M. Guastella, A. Pisciotta, R. Martorana, A. D’Alessandro   +4 more
doaj   +1 more source

Asymptotic behaviour of exponential functionals of Lévy processes with applications to random processes in random environment

Latin American Journal of Probability and Mathematical Statistics, 2016
Let $ξ=(ξ_t, t\ge 0)$ be a real-valued Lévy process and define its associated exponential functional as follows \[ I_t(ξ):=\int_0^t \exp\{-ξ_s\}{\rm d} s, \qquad t\ge 0. \] Motivated by important applications to stochastic processes in random environment, we study the asymptotic behaviour of \[ \mathbb{E}\Big[F\big(I_t(ξ)\big)\Big] \qquad \textrm{as ...
Palau, Sandra, Pardo, Juan Carlos, Smadi, Charline   +2 more
openaire   +5 more sources

Multi-Level Short Circuit Fault Detection in Induction Motors Using Deep CNN-LSTM Networks for Industry 4.0 Applications

Eng
The reliability and efficiency of induction motors in Industry 4.0 environments critically depend on advanced fault detection systems capable of real-time monitoring and diagnosis.
Jalila Kaouthar Kammoun, Hanen Lajnef, Mourad Fakhfakh   +2 more
doaj   +1 more source

Formation of spatial vegetation patterns in heterogeneous environments.

PLoS ONE
Functioning of many resource-limited ecosystems is facilitated through spatial patterns. Patterns can indicate ecosystems productivity and resilience, but the interpretation of a pattern requires good understanding of its structure and underlying ...
Karl Kästner, Daniel Caviedes-Voullième, Christoph Hinz   +2 more
doaj   +1 more source

Limit theorems for random transformations and processes in random environments [PDF]

Transactions of the American Mathematical Society, 1998
I derive general relativized central limit theorems and laws of iterated logarithm for random transformations both via certain mixing assumptions and via the martingale differences approach. The results are applied to Markov chains in random environments, random subshifts of finite type, and random expanding in average transformations where I show that
openaire   +2 more sources