Intelligent Technologies for Automated Electronic Systems
暫譯: 自動化電子系統的智能技術
Nagarajan, R., Shanmugasundaram, N., Chatterjee, Jyotir Moy
- 出版商: Bentham Science Publishers
- 出版日期: 2024-03-06
- 售價: $2,500
- 貴賓價: 9.5 折 $2,375
- 語言: 英文
- 頁數: 234
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9815179535
- ISBN-13: 9789815179538
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相關分類:
Machine Learning、Maker
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相關主題
商品描述
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.
商品描述(中文翻譯)
本卷探討自動化機器學習和預測分析的多樣化應用。內容提供了機器學習在不同產業中的使用案例,例如醫療保健、農業、網路安全、計算和交通運輸。
第一章介紹了一種創新的裝置,用於自動通知和分析汽車事故的影響。第二章專注於使用系統化影像處理技術檢測瘧疾。第三章討論了一種基於LMEPOP和模糊邏輯的智能技術,用於去焦模糊的分割。第四章介紹了預測分析,提供了這一新興領域的概述。第五章深入探討離散事件系統模擬,提供其應用的見解。
第六章探討了不同虛擬機監控器在作業系統虛擬化中的性能分析。第七章調查了雲計算中的負載平衡。第八章呈現了一項基於面部和指紋的投票系統的調查,該系統利用深度學習技術。第九章探討了基於物聯網的自動決策,並在農業中應用數據分析。第十章研究了通過模態融合進行的生物識別。第十一章提供了一種新的視角,評估機器學習算法以預測員工表現。第十二章討論了使用CT血管造影影像進行心血管疾病診斷的預處理方法。第十三章介紹了使用超聲波傳感器和LabVIEW實現的智能輪椅。
第十四章的重點是使用物聯網的密碼學。第十五章探討了機器學習在交通標誌識別中的應用,書籍以第十六章結束,該章分析了機器學習算法在醫療保健中的應用。
本書是學術界、研究人員、教育工作者和技術領域專業人士的資源,旨在了解智能技術的當前趨勢。