Alexandra Baicoianu

Orcid: 0000-0002-1264-3404

According to our database1, Alexandra Baicoianu authored at least 18 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multisource Remote Sensing Data Visualization Using Machine Learning.
IEEE Trans. Geosci. Remote. Sens., 2024

Fractal interpolation in the context of prediction accuracy optimization.
Eng. Appl. Artif. Intell., 2024

Conformal Transformation of Kernels: A Geometric Perspective on Text Classification.
CoRR, 2024

Spectral Image Data Fusion for Multisource Data Augmentation.
CoRR, 2024

Optimizing Intensive Database Tasks Through Caching Proxy Mechanisms.
CoRR, 2024

Quantum Tunneling: From Theory to Error-Mitigated Quantum Simulation.
CoRR, 2024

Towards Generating Executable Metamorphic Relations Using Large Language Models.
CoRR, 2024

Learning About Growing Neural Cellular Automata.
IEEE Access, 2024

2023
Managing and Optimizing Big Data Workloads for On-Demand User Centric Reports.
Big Data Cogn. Comput., 2023

An Extended Survey Concerning the Significance of Artificial Intelligence and Machine Learning Techniques for Bug Triage and Management.
IEEE Access, 2023

NDVI Computation from Hyperspectral Images.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023

An Analysis of Improving Bug Fixing in Software Development.
Proceedings of the 18th International Conference on Software Technologies, 2023

Condition Monitoring of Industrial Elevators Based on Machine Learning Models.
Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

2022
A Machine Learning Proposal for Condition Monitoring of Vehicle Suspension.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2022

Structural Optimization Using Genetic Algorithms.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2022

2021
Acoustic Modeling for Indoor Spaces Using Ray-Tracing Method.
Proceedings of the Knowledge Science, Engineering and Management, 2021

A Research Study on Running Machine Learning Algorithms on Big Data with Spark.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Diagnose Bearing Failures With Machine Learning Models.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2021


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