Machine Learning and Optimization for Engineering Design
This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in the field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, I...
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| 団体著者: | |
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| その他の著者: | , , |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
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| 版: | 1st ed. 2023. |
| シリーズ: | Engineering Optimization: Methods and Applications,
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| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-981-99-7456-6 |
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目次:
- Chapter 1: Development of Smart Home System Based on IoT Using a Wearable EEG
- Chapter 2: Design of Intelligent ICT Irrigation System using Crop Growth Big Data Analysis
- Chapter 3: LRBC-E: A Structurally Enhanced LRBC-Based Block Cipher for Securing Extremely Contraind IoT Devices
- Chapter 4: OpenCV and MQTT based Intelligent Traffic Management System
- Chapter 5: A Machine Learning Model for Student's Academic Success Prediction.