Intelligent Computing and Consumer Support Applications
Keywords:
Artificial Intelligence, Machine Learning, Deep Learning, Green Research, Green Technology, Automated Systems, Education, Learning, Technology in Education, High-Performance Computing, Software Engineering, Health Information TechnologySynopsis
This book introduces a collection of selected papers presented online at the 2022 OkIP Academia & Industry Convention conferences in Oklahoma City, Oklahoma, USA, on October 3-6, 2022.
The document is composed of three Parts. Part I (three chapters) includes articles addressing various challenges and perspectives in Deep Learning and the Cognitive Domain. Recent progress appears in Part II (two chapters). Lastly, Part III (three chapters) presents advances in Sustainability, health IT, and the Digital Economy, emphasizing Consumer Assistance and Support.
THIS BOOK TABLE OF CONTENTS
Preface
Part I Machine Learning and Cognitive Applications
>> Autonomous Systems Functional Safety Overview with Multimodality and Explainability Perspectives
Pierre F. Tiako, Bernard Kamsu-Foguem
>> Robustness Analysis of Deep Reinforcement Learning for Online Portfolio Selection
Marc Velay, Bich-Lien Doan, Arpad Rimmel, Fabrice Popineau, Fabrice Daniel
>> Assessing the Impact of Interactivity in the Cognitive Domain: A Noise Ratings Case Study
Flaithri Neff, Patrick Duffy, Malachy Ronan
Part II Programming, Software, and Data Engineering
>> LitP: Language-integrated Tensor Parallelism
Philipp Kramer
>> Automatic Test Generation for Microservices Based on Consumer-Driven Contracts (CDC)
Shaheen Zahedi, Samad Paydar
Part III Safety and Consumer Assistance Applications and Supports
>> Safety of the Cameroonian Consumer in E-Commerce
Irene Tiako, Pierre F. Tiako
>> Advances and Intelligent Prospects in Veterinary Sterilization Equipment
Tom Jobe, Kedar Pai, Chris Timmons, Chris Bratcher
>> A Novel Agent-Based Intrusion Detection System for Wireless Body Area Network
Lynda Sellami, Khaled Sellami, Pierre F. Tiako
Author Index

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