Intelligent Technologies For Automated Electronic Systems


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Intelligent Technologies for Automated Electronic Systems


Intelligent Technologies for Automated Electronic Systems

Author: S. Kannadhasan, R. Nagarajan, N. Shanmugasundaram, Jyotir Moy Chatterjee, P. Ashok

language: en

Publisher: Bentham Science Publishers

Release Date: 2024-03-06


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This volume explores a diverse range of applications for automated machine learning and predictive analytics. The content provides use cases for machine learning in different industries such as healthcare, agriculture, cybersecurity, computing and transportation. Chapter 1 introduces an innovative device for automatically notifying and analyzing the impact of automobile accidents. Chapter 2 focuses on the detection of malaria using systematized image processing techniques. In Chapter 3, an intelligent technique based on LMEPOP and fuzzy logic for the segmentation of defocus blur is discussed. Predictive analytics is introduced in Chapter 4, providing an overview of this emerging field. Chapter 5 delves into discrete event system simulation, offering insights into its applications. The performance analysis of different hypervisors in OS virtualization is explored in Chapter 6. Load balancing in cloud computing is the subject of investigation in Chapter 7. Chapter 8 presents a survey on a facial and fingerprint-based voting system utilizing deep learning techniques. Chapter 9 explores IoT-based automated decision-making with data analytics in agriculture. Biometric recognition through modality fusion is investigated in Chapter 10. Chapter 11 offers a new perspective on evaluating machine learning algorithms for predicting employee performance. Pre-process methods for cardiovascular diseases diagnosis using CT angiography images are discussed in Chapter 12. Chapter 13 presents the implementation of a smart wheelchair using ultrasonic sensors and LabVIEW. Cryptography using the Internet of Things is the focus of Chapter 14. Chapter 15 explores machine learning applications for traffic sign recognition, and the book concludes with Chapter 16, which analyzes machine learning algorithms in healthcare. The book is a resource for academics, researchers, educators and professionals in the technology sector who want to learn about current trends in intelligent technologies.

Rob Milne: A Tribute to a Pioneering AI Scientist, Entrepreneur and Mountaineer


Rob Milne: A Tribute to a Pioneering AI Scientist, Entrepreneur and Mountaineer

Author: A. Bundy

language: en

Publisher: IOS Press

Release Date: 2006-07-27


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Rob Milne was a remarkable man. He died of a heart attack on the 5th of June 2005 while climbing Mount Everest in Nepal. Milne (48) lived an active life: combining his three ‘careers’ seemingly effortlessly. He was a hi-tech entrepreneur, an AI researcher and a passionate mountaineer. Mount Everest was last on his list of the highest summits on each continent. He was only 400 meters from the top when he died. This publication commemorates and celebrates the life of Rob Milne. It covers all facets of Rob Milne's life and contains contributions by the people who have known him well and pay tribute to his life and his legacy. Rob Milne is survived by his wife Val and his two children Alex and Rosemary. After he died, his wife said in a radio interview: “Rob died at the top, doing what he loved.”



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language: en

Publisher: IOS Press

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