Machine intelligence and smart systems proceedings of MISS 2021
Artificial Intelligence Aided Neurodevelopmental Disorders Diagnosis: Techniques Revisited.- Deep Learning Implementation for Dark Matter Particle Detection.- Augmentation of Handwritten Devanagari Character Dataset Using DCGAN.- Deep Reinforcement Learning for Optimal Traffic Control.- Ensemble Sem...
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| Weitere Verfasser: | , , , , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Singapore
Springer
2022
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| Schriftenreihe: | Algorithms for intelligent systems
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| Schlagworte: | |
| Online Zugang: | Cover Inhaltsverzeichnis |
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| Zusammenfassung: | Artificial Intelligence Aided Neurodevelopmental Disorders Diagnosis: Techniques Revisited.- Deep Learning Implementation for Dark Matter Particle Detection.- Augmentation of Handwritten Devanagari Character Dataset Using DCGAN.- Deep Reinforcement Learning for Optimal Traffic Control.- Ensemble Semi-Supervised Machine Learning Algorithm for Classifying Complaint Tweets.- Underwater Image Enhancement Using Fusion Stretch Method.- A Novel Approach for Semantic Microservices Description and Discovery towards Smarter Applications. This book is a collection of peer-reviewed best selected research papers presented at the Second International Conference on Machine Intelligence and Smart Systems (MISS 2021), organized during September 24-25, 2021, in Gwalior, India. The book presents new advances and research results in the fields of machine intelligence, artificial intelligence and smart systems. It includes main paradigms of machine intelligence algorithms, namely (1) neural networks, (2) evolutionary computation, (3) swarm intelligence, (4) fuzzy systems and (5) immunological computation. Scientists, engineers, academicians, technology developers, researchers, students and government officials will find this book useful in handling their complicated real-world issues by using machine intelligence methodologies |
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| Beschreibung: | Literaturangaben |
| Beschreibung: | xiii, 562 Seiten Illustrationen, Diagramme |
| ISBN: | 9789811696497 978-981-16-9649-7 9789811696527 978-981-16-9652-7 |