Handbook of research on new investigations in artificial life, AI, and machine learning:

"This book provides the latest research, investigation, and development in the area of living systems intelligence, human-level cognition & artificial systems, nature and bioinspiration, machine learning techniques, Deep Learning techniques and applications, and systems that exhibit intelli...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Weitere Verfasser: Habib, Maki K. (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Hershey, Pennsylvania IGI Global 2022
Hershey, PA Engineering Science Reference, an imprint of IGI Global [2022]
Schlagworte:
Online-Zugang:DE-1050
DE-898
DE-1049
DE-91
DE-706
DE-83
Volltext
Zusammenfassung:"This book provides the latest research, investigation, and development in the area of living systems intelligence, human-level cognition & artificial systems, nature and bioinspiration, machine learning techniques, Deep Learning techniques and applications, and systems that exhibit intelligent autonomous behavioral characteristics
Beschreibung:Includes bibliographical references and index
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 a distance 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 of the art, challenges, and open issues
Beschreibung:1 Online-Ressource (565 Seiten)
ISBN:9781799886877
DOI:10.4018/978-1-7998-8686-0

Es ist kein Print-Exemplar vorhanden.

Fernleihe Bestellen Achtung: Nicht im THWS-Bestand! Volltext öffnen