Andreea Lavinia Popescu

A modelling system for identification of maize ideotypes, optimal sowing dates and nitrogen fertilization under climate change – PREPCLIM-v1

Mihaela Caian, Cătălin LAZĂR, Petru Neague, Antoanela Dobre et autres

Abstract. Climate change significantly threatens crop yields levels and stability. The complex interplay of factors at the local scale makes assessing these impacts difficult, requiring coupled climate-phenology models, which integrate climate data and crop information. Identifying suitable local management practices and crop …

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Analysis and Optimization of the Orbital Configuration of a Constellation of Satellites Intended For Romanian Nationwide Communications in the X-Band

Andreea Lavinia Popescu, Simona Miclăuş

A bstract This paper presents the results of an analysis and optimization of a Medium Earth Orbit (MEO) CubeSat satellite constellation transmitting in the X-band, aimed at ensuring reliable nationwide microwave communications in Romania. A practical case study was conducted, focusing on …

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Combined Vojta and Bobath concepts therapy effect and physical exercises on foot balance and motor control in children with infantile cerebral palsy

Peter Bartík, Andreea Lavinia Popescu, Camelia-Daniela Plăstoi, Bogdan Mihai Niculescu et autres

Background: Ensuring independent locomotion is one of the primary goals of therapeutic intervention in children with infantile cerebral palsy (ICP). This study aimed to evaluate the foot and balance developmental changes in children with ICP after independent walking began utilizing Bobath, Vojta, …

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A modeling System for Identification of Maize Ideotypes, optimal sowing dates and nitrogen fertilization under climate change – PREPCLIM-v1

Mihaela Caian, Cătălin Lazăr, Petru Neague, Antoanela Dobre et autres

Abstract. The impact of climate change on crops and agricultural yield is an actual threat while being a challenging issue due to the high complexity of factors that intervene at the local scale of the crop. Assessing it, requires the use of …

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Supplementary material to "A modeling System for Identification of Maize Ideotypes, optimal sowing dates and nitrogen fertilization under climate change – PREPCLIM-v1"

Mihaela Caian, Cătălin Lazăr, Petru Neague, Antoanela Dobre et autres

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Texture Classification with Patch Autocorrelation Features

Radu Tudor Ionescu, Andreea Lavinia Popescu, Dan Popescu

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Image semantic annotation using fuzzy decision trees

Andreea Lavinia Popescu, Bogdan E. Popescu, Marius Brezovan, Eugen Ganea

Abstract—One of the methods most commonly used for learning and classification is using decision trees. The greatest advantages that decision trees offer is that, unlike classical trees, they provide a support for handling uncertain data sets. The paper introduces a new algorithm …

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A spatial pyramid approach for texture classification

Andreea Lavinia Popescu, Radu Tudor Ionescu, Dan Popescu

Texture classification, texture synthesis, or similar tasks are an active topic in computer vision and pattern recognition. This paper aims to present two spatial pyramid representations for texture classification. Most techniques designed for texture classification are based on machine learning. Images are …

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Efficient fractal method for texture classification

Andreea Lavinia Popescu, Dan Popescu, Radu Tudor Ionescu, N Angelescu et autres

This paper presents an alternative approach to classical box counting algorithm for fractal dimension estimation. Irrelevant data are eliminated from input sequences of the algorithm and a new fractal dimension, called efficient fractal dimension (EFD), which is based on the remaining sequences …

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Unsupervised partitioning of numerical attributes using fuzzy sets

Bogdan E. Popescu, Andreea Lavinia Popescu, Marius Brezovan, Eugen Ganea

The current paper presents an enhanced partitioning mechanism for numerical data. The efficiency of our method will be illustrated through a solid set of tests that have been performed. We have planned this partitioning phase as an initial step in a more …

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