Pioneering Autonomous Technology: A Deep dive into Hyper Automation

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  • ISBN: 9780443317101
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Pioneering Autonomous Technology: A Deep dive into Hyper Automation, Volume 143

in the Advances in Computers series, showcases the transformative role of artificial intelligence, deep learning, and machine learning in creating safer, more efficient, and socially inclusive environments.

This volume explores how autonomous technologies are reshaping healthcare, transportation, agriculture, and urban living.

Chapters cover cutting-edge applications such as deep learning–based medical diagnostics for chronic diseases, retinal biomarkers for early detection of Alzheimer’s and Parkinson’s, and superior CNN approaches for agricultural automation.

The book highlights advances in autonomous vehicles, from industry trends and electric vehicle integration to safety and societal impacts, as well as essential topics like cybersecurity challenges and machine learning–driven life expectancy prediction.

Broader societal applications include income inequality modeling, sentiment analysis in Indian languages, and IoT-based smart city initiatives, offering readers a comprehensive perspective on the future of intelligent and autonomous systems.

1. Survey on Deep Learning Based Autonomous Medical Diagnosis Models for Chronic Disease Identification

2. Human-Robot Interaction: Ensuring Safe and Effective Coordination

3. Blazing Trails: Cutting-Edge Technologies Revolutionizing Forest Fire Screening

4. Connected Communities: Fostering Social Inclusion and Equity in Smart Cities through IoT Integration

5. Preliminary Study of Retinal Biomarkers Detection on Fundus Images for the Diagnosis of Alzheimer’s and Parkinson’s Diseases

6. Deep Learning Driven Classification of Sweet Lime Leaves: A Superior CNN Approach for Agricultural Automation

7. Machine Learning in Healthcare: Advancements, Applications, and Challenges

8. Feature Extraction and Object Recognition in Autonomous Systems

9. The Future of Autonomous Vehicles: Industry Trends, Technologies, and Challenges

10. Autonomous Systems: Shaping the Future of Industries and Transportation

11. The Role of Artificial Intelligence in Electric and Autonomous Vehicles

12. Cybersecurity Challenges in Autonomous Systems

13. The Evolution of Autonomous Vehicles: Understanding Technology, Safety, and Societal Impact

14. Leveraging Machine Learning for Life Expectancy Prediction: Towards Autonomous Health Management

15. Machine Learning and Its Application in Autonomous Technology

16. Deep Learning Based Automated License Plate Detection in Complex Weather Conditions

17. Revealing Socioeconomic Perspectives: A Machine Learning Approach to Income Inequality

18. Enhancing Inventory Management Through Demand Forecasting Using Recurrent Neural Networks (RNNs)

19. Sentiment Analysis of Sentences Used in Indian Local Languages Using Transfer Learning

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