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Preface to the Special Issue on “Advances in Artificial Intelligence: Models, Optimization, and Machine Learning”

Author

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  • Florin Leon

    (Faculty of Automatic Control and Computer Engineering, “Gheorghe Asachi” Technical University of Iasi, Bd. Mangeron 27, 700050 Iasi, Romania)

  • Mircea Hulea

    (Faculty of Automatic Control and Computer Engineering, “Gheorghe Asachi” Technical University of Iasi, Bd. Mangeron 27, 700050 Iasi, Romania)

  • Marius Gavrilescu

    (Faculty of Automatic Control and Computer Engineering, “Gheorghe Asachi” Technical University of Iasi, Bd. Mangeron 27, 700050 Iasi, Romania)

Abstract

Recent advancements in artificial intelligence and machine learning have led to the development of powerful tools for use in problem solving in a wide array of scientific and technical fields [...]

Suggested Citation

  • Florin Leon & Mircea Hulea & Marius Gavrilescu, 2022. "Preface to the Special Issue on “Advances in Artificial Intelligence: Models, Optimization, and Machine Learning”," Mathematics, MDPI, vol. 10(10), pages 1-4, May.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:10:p:1721-:d:818126
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    References listed on IDEAS

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    1. Subhajit Chatterjee & Debapriya Hazra & Yung-Cheol Byun & Yong-Woon Kim, 2022. "Enhancement of Image Classification Using Transfer Learning and GAN-Based Synthetic Data Augmentation," Mathematics, MDPI, vol. 10(9), pages 1-16, May.
    2. Jui-Sheng Chou & Dinh-Nhat Truong & Chih-Fong Tsai, 2021. "Solving Regression Problems with Intelligent Machine Learner for Engineering Informatics," Mathematics, MDPI, vol. 9(6), pages 1-25, March.
    3. Silvia Curteanu & Florin Leon & Andra-Maria Mircea-Vicoveanu & Doina Logofătu, 2021. "Regression Methods Based on Nearest Neighbors with Adaptive Distance Metrics Applied to a Polymerization Process," Mathematics, MDPI, vol. 9(5), pages 1-20, March.
    4. Seokho Kang, 2021. "k -Nearest Neighbor Learning with Graph Neural Networks," Mathematics, MDPI, vol. 9(8), pages 1-12, April.
    5. Florin Leon & Marius Gavrilescu, 2021. "A Review of Tracking and Trajectory Prediction Methods for Autonomous Driving," Mathematics, MDPI, vol. 9(6), pages 1-37, March.
    6. Amelia Bădică & Costin Bădică & Ion Buligiu & Liviu Ion Ciora & Doina Logofătu, 2021. "Dynamic Programming Algorithms for Computing Optimal Knockout Tournaments," Mathematics, MDPI, vol. 9(19), pages 1-24, October.
    7. Fahman Saeed & Muhammad Hussain & Hatim A. Aboalsamh, 2022. "Automatic Fingerprint Classification Using Deep Learning Technology (DeepFKTNet)," Mathematics, MDPI, vol. 10(8), pages 1-17, April.
    8. Carlos M. Castorena & Itzel M. Abundez & Roberto Alejo & Everardo E. Granda-Gutiérrez & Eréndira Rendón & Octavio Villegas, 2021. "Deep Neural Network for Gender-Based Violence Detection on Twitter Messages," Mathematics, MDPI, vol. 9(8), pages 1-12, April.
    9. Xinglong Feng & Xianwen Gao & Ling Luo, 2021. "A ResNet50-Based Method for Classifying Surface Defects in Hot-Rolled Strip Steel," Mathematics, MDPI, vol. 9(19), pages 1-15, September.
    10. Elena Niculina Dragoi & Vlad Dafinescu, 2021. "Review of Metaheuristics Inspired from the Animal Kingdom," Mathematics, MDPI, vol. 9(18), pages 1-52, September.
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