A5101711964- Complex Systems and Time Series Analysis
- Statistical Mechanics and Entropy
- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Land Use and Ecosystem Services
- Atmospheric and Environmental Gas Dynamics
- Environmental Impact and Sustainability
- Financial Risk and Volatility Modeling
- Galaxies: Formation, Evolution, Phenomena
- Functional Brain Connectivity Studies
- Scientific Research and Discoveries
- Solar and Space Plasma Dynamics
- Meteorological Phenomena and Simulations
- EEG and Brain-Computer Interfaces
- Ecosystem dynamics and resilience
- Advanced Optimization Algorithms Research
- Conservation, Biodiversity, and Resource Management
- Fluid Dynamics and Turbulent Flows
- Hydrological Forecasting Using AI
- Chaos control and synchronization
- Cosmology and Gravitation Theories
- Climate variability and models
- Agriculture Sustainability and Environmental Impact
- Geophysical and Geoelectrical Methods
- Statistical and numerical algorithms
National Institute for Space Research
2014-2023
Universidade do Vale do Rio dos Sinos
2020
Universidade Estadual Paulista (Unesp)
2017
Universidade Federal do Oeste do Pará
2015
Universidade Federal do ABC
2015
Fundação de Apoio a Pesquisa do Estado de Goiás
2015
University of Aveiro
2015
Empresa de Pesquisa Agropecuária do Estado do Rio de Janeiro
2014
Universidade Federal do Paraná
2014
University of Jos
2000
Studying the interaction between a system's components and temporal evolution of system are two common ways to uncover characterize its internal workings. Recently, several maps from time series network have been proposed with intent using metrics series. Although these demonstrate that different result in networks distinct topological properties, it remains unclear how properties relate original Here, we propose map an approximate inverse operation, making possible use statistics networks....
This paper presents a time-weighted version of the dynamic time warping (DTW) method for land-use and land-cover classification using remote sensing image series. Methods based on DTW have achieved significant results in time-series data mining. The original works well shape matching, but is not suited classification. It disregards temporal range when finding best alignment between two Since each class has specific phenological cycle, good classifier needs to balance matching alignment. To...
Expanding the Soy Moratorium to Cerrado biome would prevent direct conversion of 3.6 million ha intact soy.
Intensification of Brazilian cattle ranching systems has attracted both national and international attention due to its direct relation with Amazon deforestation on the one hand increasing demand global population for meat other. Since is predominantly pasture-based, we particularly focus pasture management. We summarize most recurrent opportunities risks associated intensification that are brought up within scientific political dialogues, discuss them context. argue sustainable pasturelands...
The role of improving the enforcement Brazil's Forest Code in reducing deforestation Amazon has been highlighted many studies. However, a context strong political pressure for loosening environmental protections, future impacts nationwide implementation on both environment and agriculture remain poorly understood. Here, we present spatially explicit assessment 2012 through year 2050; specifically, use partial equilibrium economic model that provides globally consistent national modeling...
Abstract Computational analysis of electroencephalographic (EEG) signals have shown promising results in detecting brain disorders, such as Alzheimer’s disease (AD). AD is a progressive neurological illness that causes neuron cells degeneration, resulting cognitive impairment. While there no cure for AD, early diagnosis critical to improving the quality life affected individuals. Here, we apply six computational time-series methods (wavelet coherence, fractal dimension, quadratic entropy,...
Known as a degenerative and progressive dementia, Alzheimer's disease (AD) affects about 25 million elderly people around the world. This illness results in decrease productivity of places limits on their daily lives. Electroencephalography (EEG), which electrical brain activity is recorded form time series analyzed using signal processing techniques, well-known neurophysiological AD biomarker. EEG noninvasive, low-cost, has high temporal resolution, provides valuable information dynamics...
In tropical regions, widespread loss of native forest and savanna vegetation is increasing extreme heat, particularly in agricultural regions. Using the case rising heat from lost Brazilian Amazon Cerrado we modeled losses to soy production, region's principal economic activity. We assessed two types extreme-heat regulation values: value avoided exposure conservation neighboring ecosystems revenue due increased ecosystem conversion. Our modeling combines empirical estimates (1) influence...
Abstract This study examines how land tenure constrains Brazil’s ability to meet its deforestation control and forest restoration goals in Amazonia biome. Our findings are based on an updated assessment of use the region. Between 2019 2021, 44% occurred private lands, while removal settlements ranged from 31% 27% total. Deforestation undesignated public lands increased 11% 2008 18% 2021. is highly concentrated, with 1% properties accounting for 82.5% cuts In Amazonia, there considerable...
Most of the world's nations (around 130) have committed to reaching net-zero carbon dioxide or greenhouse gas (GHG) emissions by 2050, yet robust policies rarely underpin these ambitions. To investigate whether existing and expected national will allow Brazil meet its GHG pledge we applied a detailed regional integrated assessment modelling approach. This included quantifying role nature-based solutions, such as protection restoration ecosystems, engineered bioenergy with capture storage....
A new stochastic algorithm for design optimization is introduced. Called generalized extremal (GEO), it intended to be used in complex problems where traditional gradient-based methods may become inefficient, such as when applied a nonconvex or disjoint space, there are different kinds of variables it. The easy implement, does not make use derivatives, and can unconstrained constrained problems, spaces, the presence any combination continuous, discrete, integer variables. It global search...
Abstract There is an urgent need for countries to transition their national food and land-use systems toward nutritional security, climate stability, environmental integrity. How can satisfy demands while jointly delivering the required transformative change achieve global sustainability targets? Here, we present a collaborative approach developed with FABLE—Food, Agriculture, Biodiversity, Land, Energy—Consortium reconcile both elements developing system pathways. This includes three key...
Abstract Meeting Brazil’s ambitious national commitments on both climate change mitigation and biodiversity conservation depends securing its reserves of forest carbon biodiversity. ‘Forest Code’ is a key tool to reconcile environmental preservation agricultural production; it limits deforestation requires restoration in illegally deforested areas. However, not all provisions the law’s 2012 revision have yet been implemented some are facing new challenges. Using modelled land use projections...
In this work, two new entropic regularization techniques are introduced. They represent a generalization of the standard MaxEnt method, and allow for greater flexibility introducing any prior information about expected structure true physical model, or its derivatives, into inversion procedure. The first technique is based on minimization entropy vector first-differences unknown parameters. Adopting terminology, it known as minimum first-order method (MinEnt-1). To illustrate essential...