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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Handbook of research on new investigations in artificial life, AI, and machine learningMaki Habib, editor.
remainder title:	Handbook of research on new investigations in artificial life, artificial intelligence, and machine learning
other author:	Habib, Maki K.,
Published:	Hershey, Pennsylvania :Engineering Science Reference, an imprint of IGI Global,2022.
Description:	1 online resource (565 p.)
Subject:	Automatic machinery.
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-8686-0
ISBN:	9781799886877$q(ebook)

Handbook of research on new investigations in artificial life, AI, and machine learning
Handbook of research on new investigations in artificial life, AI, and machine learning[electronic resource] /Handbook of research on new investigations in artificial life, artificial intelligence, and machine learningMaki Habib, editor. - Hershey, Pennsylvania :Engineering Science Reference, an imprint of IGI Global,2022. - 1 online resource (565 p.)

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 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.

"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"

ISBN: 9781799886877$q(ebook)Subjects--Topical Terms:

843679
Automatic machinery.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: TJ163.12 / .H26 2022eb

Dewey Class. No.: 670.427

Handbook of research on new investigations in artificial life, AI, and machine learning
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246 3 $a Handbook of research on new investigations in artificial life, artificial intelligence, and machine learning
260 $a Hershey, Pennsylvania : $b Engineering Science Reference, an imprint of IGI Global, $b IGI Global, $c 2022.
260 $a Hershey, PA : $c 2022.
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504 $a Includes bibliographical references and index.
505 0 $a 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.
520 3 $a "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"
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