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An Introduction to Materials Informatics : The Elements of Machine Learning / / by Tongyi Zhang
| An Introduction to Materials Informatics : The Elements of Machine Learning / / by Tongyi Zhang |
| Autore | Zhang Tongyi |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (677 pages) |
| Disciplina | 620.110285631 |
| Soggetto topico |
Materials
Materials science Statistics Machine learning Materials Engineering Materials Science Applied Statistics Machine Learning |
| ISBN |
9789819979929
9819979927 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Linear Regression -- Linear Classification -- Support Vector Machine -- Decision Tree and K-Nearest-Neighbors (KNN) -- Ensemble Learning -- Bayesian Theorem and Expectation-Maximization (EM) Algorithm -- Symbolic Regression -- Neural Networks -- Hidden Markov Chains -- Data Preprocessing and Feature Selection -- Interpretative SHAP Value and Partial Dependence Plot. |
| Record Nr. | UNINA-9910984589503321 |
Zhang Tongyi
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning for Advanced Functional Materials / / edited by Nirav Joshi, Vinod Kushvaha, Priyanka Madhushri
| Machine Learning for Advanced Functional Materials / / edited by Nirav Joshi, Vinod Kushvaha, Priyanka Madhushri |
| Autore | Joshi Nirav |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (306 pages) |
| Disciplina | 620.110285631 |
| Altri autori (Persone) |
KushvahaVinod
MadhushriPriyanka |
| Soggetto topico |
Optics
Machine learning Materials Detectors Tumor markers Photonics Optical engineering Optics and Photonics Machine Learning Sensors and biosensors Tumour Biomarkers Photonics and Optical Engineering Photonic Devices |
| ISBN | 981-9903-93-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Solar Cells and Relevant Machine Learning -- Machine learning-driven gas identification in gas sensors -- Recent advances in Machine Learning for electrochemical, optical, and gas sensors -- Machine Learning in Wearable Healthcare Devices -- A Machine Learning approach in wearable Technologies -- The application of novel functional materials to machine learning -- Potential of Machine Learning Algorithms in Material Science: Predictions in design, properties and applications of novel functional materials -- Perovskite Based Materials for Photovoltaic Applications: A Machine Learning Approach -- A review of the high-performance gas sensors using machine learning -- Machine Learning For Next‐Generation Functional Materials -- Contemplation of Photocatalysis Through Machine Learning -- Discovery of Novel Photocatalysts using Machine Learning Approach -- Machine Learning In Impedance Based Sensors. |
| Record Nr. | UNINA-9910726286403321 |
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Joshi Nirav
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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