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Algorithms for Agro-industrial, Health, and Environmental Sustainability, within the FAPESP Center for Research and Innovation on Smart and Quantum Materials (CRISQuaM). The project aim to develop quantum
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Paulo Research Foundation, exhibits a strong interdisciplinary character, with activities involving remote sensing, artificial intelligence, and the use of sensors for real-time irrigation monitoring and
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machine learning (ML) algorithms to identify previously unknown correlations between synthesis parameters (inputs) and optical, electronic and chemical properties (outputs), such as quantum yield, light
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, and analysis by using concepts and methods from machine learning, including pattern recognition, graphs, and complex networks. ** Specific Research Areas: * Develop concepts and algorithms to analyze
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(“Autonomous System for Hybrid Hyperspectral-SAR Monitoring in Precision Agriculture”, Supervisor Prof. Hugo Hernández Figueroa, and “Development of Methodology and Robust Operational Algorithms for Hybrid
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. Fields of knowledge: Techniques for model selection, evaluation, and comparison of methods; Algorithms for regression (e.g., linear, Bayesian, regularization kernels); Algorithms for classification (e.g
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will be analyzed to detect and segment structures such as pores, fractures, and vugs, with novel algorithms developed to evaluate their geometric properties, including size, shape, and orientation