A5060121945- Forest ecology and management
- Advanced biosensing and bioanalysis techniques
- Data-Driven Disease Surveillance
- Advanced Proteomics Techniques and Applications
- Remote Sensing and LiDAR Applications
- Modular Robots and Swarm Intelligence
- Advanced Statistical Process Monitoring
- Statistical Methods and Inference
- Bayesian Methods and Mixture Models
- Plant Water Relations and Carbon Dynamics
- Digital Media Forensic Detection
- Gene expression and cancer classification
- RNA Interference and Gene Delivery
- Ecology and Vegetation Dynamics Studies
- DNA and Biological Computing
- Soil Geostatistics and Mapping
- Water Quality and Pollution Assessment
- Bacteriophages and microbial interactions
- Cognitive Science and Mapping
- Stochastic processes and statistical mechanics
- Distributed Sensor Networks and Detection Algorithms
- Sustainability and Ecological Systems Analysis
- Water Quality and Resources Studies
- Fish biology, ecology, and behavior
- Marine and environmental studies
National Institute of Research and Development for Biological Sciences
2014-2022
University of Bucharest
2017-2022
Laboratoire Paul Painlevé
2013-2014
Centre de recherche Inria Lille - Nord Europe
2013-2014
Institut national de recherche en informatique et en automatique
2013-2014
Université de Lille
2013
Laboratoire de Physique des Plasmas
2013
A plethora of forest models were developed by transforming the dependent variable, which introduces bias if appropriate corrections are not applied when back-transformed. Many recognized still biased and original data sets no longer available, suggests ad hoc corrections. The present research presents a procedure for correction in absence needed information from summary statistics. Additionally, we realistic square root transformation based on truncated normal distribution. transformations...
In this paper we improve some existing results concerning the approximation of distribution extremes a 1-dependent and stationary sequence random variables. We enlarge range applicability error. An application to study scan statistics generated by Bernoulli trials is given.
Abstract Advancements in information technology led environmental scientists to the illusion that efforts should be mainly focused on developing models reduce uncertainty rather than adjusted existing uncertainty. As a result, relationships are represented by non‐parsimonious and suboptimal models, which many instances could even wrong. The objective of this research was provide modeling ecosystem processes with procedure supplies parsimonious correct results. transforms response variable...
The parameters of nonlinear forest models are commonly estimated with heuristic techniques, which can supply erroneous values. use algorithms is partially rooted in the avoidance transformation dependent variable, introduces bias when back-transformed to original units. Efforts were placed computing unbiased estimates for some power, trigonometric, and hyperbolic functions since only few transformations predicted variable have corrections estimated. approach that supplies results transformed...
The Tile Assembly Model, and its many variants, is one of the most fundamental algorithmic assembly formalism within DNA nanotechnology. Most research in this field focused on complexity assembling different shapes patterns. In cases, process intrinsically deterministic final product unique, while might evolve through several possible strategies. study we consider controlled dimensional tile structures according to predefined graphs. We provide approaches for developing such protocols, using...
Subterranean streams represent unique heterotrophic ecosystems, usually supported by organicmatter imported fromthe surface. Traditionally, the biological communities from subterranean were characterized as simple associations, with low diversity and species abundance, comprising mostly aquatic invertebrates connected few trophic links compared those of However, these features have not yet been described in wider context fluxes energy nutrients through food webs along a gradual switch...
Abstract To avoid the transformation of dependent variable, which introduces bias when back-transformed, complex nonlinear forest models have parameters estimated with heuristic techniques, can supply erroneous values. The solution for accurate provided by Strimbu et al. (Ecosphere 8:e01945, 2017) 11 functions (i.e., power, trigonometric, and hyperbolic) is not based on heuristics but could contain a Taylor series expansion. Therefore, objectives present study are to unbiased estimates...
Many experiments cannot feasibly be conducted as factorials. Simulations using synthetically generated data are viable alternatives to such factorial experiments. The main objective of the present research is develop a methodology and platform generate spatially explicit forest ecosystems represented by points with predefined spatial pattern. Using algorithms polynomial complexity parameters that control number clusters, degree clusterization, proportion nonrandom trees, we show can time...
The current paper estimated the physico-chemical properties of water in Danube Delta (Romania), based on Sentinel 2 remote sensing data. Eleven sites from were sampled spring and autumn for three years (2018-2020) 21 parameters measured laboratory. Several families machine learning algorithms, translated into hundreds models with different parameterizations each algorithm, data input spectral bands, employed to find best that predicted values This was a novel approach, reflected types...
The one dimensional discrete scan statistic is considered over sequences of random variables generated by block factor dependence models. Viewed as a maximum an 1-dependent stationary sequence, the statistics distribution approximated with accuracy and sharp bounds are provided. longest increasing run related to its studied. moving average process particular case associated approximated. Numerical results presented.
Current advances in computational modelling and simulation have led to the inclusion of computer scientists as partners process engineering new nanomaterials nanodevices. This trend is now, more than ever, visible field deoxyribonucleic acid (DNA)-based nanotechnology, DNA’s intrinsic principle self-assembly has been proven be highly algorithmic programmable. As a raw material, DNA rather unremarkable fabric. However, way achieve patterns, dynamic behavior, or nano-shape reconstruction, one...
We consider the two-dimensional discrete scan statistic generated by a block-factor type model obtained from i.i.d. sequence. present an approximation for distribution of statistics and corresponding error bounds. A simulation study illustrates our methodology.