| 紀錄類型: |
書目-電子資源
: Monograph/item
|
| 正題名/作者: |
Handbook of research on new investigations in artificial life, AI, and machine learning/ Maki Habib, editor. |
| 其他題名: |
Handbook of research on new investigations in artificial life, artificial intelligence, and machine learning |
| 其他作者: |
Habib, Maki K., |
| 出版者: |
Hershey, Pennsylvania :Engineering Science Reference, an imprint of IGI Global, : 2022., |
| 面頁冊數: |
1 online resource (565 p.) |
| 內容註: |
Chapter 1. Development of a receptor cell model for artificial life -- Chapter 2. Quadruped robots with bio-inspired gait generation methods using sole pressure sensory feedback -- Chapter 3. Deep learning models for physiological data classification of children during computerized auditory tests: deep learning-based emotion recognition in child-computer interaction -- Chapter 4. Behavior classification of Egyptian fruit bat (rousettus aegyptiacus) from calls with deep learning -- Chapter 5. Visual feedback control through real-time movie frames for quadcopter with object count function and pick-and-place robot with orientation estimator -- Chapter 6. Digital charge estimation for piezoelectric actuators: an artificial intelligence approach -- Chapter 7. A fog-based threat detection for telemetry smart medical devices using a real-time and lightweight incremental learning method -- Chapter 8. Joint use of fuzzy entropy and divergence as adistance measurement for image edge detection -- Chapter 9. Neuroscience and artificial intelligence -- Chapter 10. Applications of the bees algorithm: nature-inspired optimisation of manufacturing processes -- Chapter 11. Model optimisation techniques for convolutional neural networks -- Chapter 12. Formalizing model-based multi-objective reinforcement learning with a reward occurrence probability vector -- Chapter 13. Entropy, chaos, and language -- Chapter 14. Improve imbalanced multiclass classification based on modified SMOTE and feature selection for student grade prediction -- Chapter 15. Contextualising computational thinking disposition framework from an affective perspective -- Chapter 16. Advanced portfolio management in big data environments with machine learning and advanced analytical techniques -- Chapter 17. Hyperspectral/multispectral imaging methods for quality control -- Chapter 18. Inspection of power Line insulators: state ofthe art, challenges, and open issues. |
| 標題: |
Automatic machinery. - |
| 電子資源: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-8686-0 |
| ISBN: |
9781799886877 |