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2024 | OriginalPaper | Buchkapitel

Improving the Perception of Moronic Systems Whether Human or Self-Driving Vehicles Using Intelligent Agents: A Review

verfasst von : Fakhra Riaz, Faisal Riaz, Asma Jabeen, Umar Raza, William Holderbaum, Sidra Kouser, Saeid Jamali

Erschienen in: The Second International Adaptive and Sustainable Science, Engineering and Technology Conference

Verlag: Springer Nature Switzerland

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Abstract

Moronic systems refer to systems that are incapable of intelligent decision-making due to a lack of advanced cognitive capabilities. These systems have not been updated to meet current standards, and machines that lack intelligent perception are the implication of these systems. By using intelligent agents, the perception capabilities like decision-making and overall performance of moronic systems can be enhanced. The intelligent agents can provide real-time data analysis and decision-making capabilities that can help identify potential hazards and avoid accidents. They can be utilized in human-inspired moronic systems to support healthcare decision-making and advance emotion recognition in a variety of applications, including gaming, mental health monitoring, and human-robot interaction. In this review, we explore the latest research and advancements in intelligent agents for improving the perception of moronic systems. We discuss their application in self-driving vehicles and human-inspired systems. Also, we explore the latest research and advancements in intelligent agents for improving the perception of moronic systems, including their application in self-driving vehicles and human-inspired systems.

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Metadaten
Titel
Improving the Perception of Moronic Systems Whether Human or Self-Driving Vehicles Using Intelligent Agents: A Review
verfasst von
Fakhra Riaz
Faisal Riaz
Asma Jabeen
Umar Raza
William Holderbaum
Sidra Kouser
Saeid Jamali
Copyright-Jahr
2024
DOI
https://doi.org/10.1007/978-3-031-53935-0_22

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