Good results from sensor data: Performance of machine learning algorithms for regression problems in chemical sensors-Reference-Cited by-同舟云学术

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Good results from sensor data: Performance of machine learning algorithms for regression problems in chemical sensors

Published:2024-12 Issue: Volume:421 Page:136528
ISSN:0925-4005
Container-title:Sensors and Actuators B: Chemical
language:en
Short-container-title:Sensors and Actuators B: Chemical

Author:

Höfler Lajos

Publisher

Elsevier BV

Reference77 articles.

1. Deep learning in analytical chemistry;Debus;Trends Anal. Chem.,2021

2. Taking the leap between analytical chemistry and artificial intelligence: a tutorial review;Ayres;Anal. Chim. Acta,2021

3. Integrated sensor array optimization with statistical evaluation;Xu;Sens. Actuators B: Chem.,2010

4. Machine learning: algorithms, real-world applications and research directions;Sarker;SN Comput. Sci.,2021

5. AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems;Sarker;SN Comput. Sci.,2022

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