7 papers
Texture Regenerating and Grafting Using Genome-Driven Neural Cellular Automata
Mirela-Magdalena Catrina, Ioana Cristina Plajer, Alexandra Băicoianu
This study significantly advances multi-texture synthesis using Neural Cellular Automata (NCAs) by introducing a novel training methodology that enables robust self-regeneration of…
Multi-Texture Synthesis through Signal Responsive Neural Cellular Automata
Mirela-Magdalena Catrina, Ioana Cristina Plajer, Alexandra Baicoianu
Neural Cellular Automata (NCA) have proven to be effective in a variety of fields, with numerous biologically inspired applications. One of the fields, in which NCAs perform well i…
Optimizing Intensive Database Tasks Through Caching Proxy Mechanisms
Ionut-Alex Moise, Alexandra Băicoianu
Web caching is essential for the World Wide Web, saving processing power, bandwidth, and reducing latency. Many proxy caching solutions focus on buffering data from the main server…
Quantum Tunneling: From Theory to Error-Mitigated Quantum Simulation
Sorana Catrina, Alexandra Băicoianu
Ever since the discussions about a possible quantum computer arised, quantum simulations have been at the forefront of possible utilities and the task of quantum simulations is one…
Spectral Image Data Fusion for Multisource Data Augmentation
Roberta Iuliana Luca, Alexandra Baicoianu, Ioana Cristina Plajer
Multispectral and hyperspectral images are increasingly popular in different research fields, such as remote sensing, astronomical imaging, or precision agriculture. However, the a…
Fractal interpolation in the context of prediction accuracy optimization
Alexandra Baicoianu, Cristina Gabriela Gavrilă, Cristina Maria Pacurar +1
This paper focuses on the hypothesis of optimizing time series predictions using fractal interpolation techniques. In general, the accuracy of machine learning model predictions is…