Deep Learning Techniques for Automation and Industrial Applications

Rathore, Pramod Singh, Ahuja, Sachin, Burri, Srinivasa Rao

Deep Learning Techniques for Automation and Industrial Applications
  • 出版商: Wiley
  • 出版日期: 2024-07-18
  • 售價: $6,430
  • 貴賓價: 9.5 折 $6,109
  • 語言: 英文
  • 頁數: 288
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1394234244
  • ISBN-13: 9781394234240
  • 相關分類: DeepLearning

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Dive into this 15-chapter book on 'Deep Learning Techniques' and how its solutions allow computers to learn from experience and understand hierarchy concepts. It provides approaches to deep learning in areas of detection, prediction, and future framework development. This book presents a concise introduction to recent advances in the field of AI, discussing reinforcement learning and applying deep learning techniques to various domains.

 

Topics discussed in this book:

 

- The penetration of social media in society and how women living in India are deprived of mobile services. The study generates research on how gender characterizes individuals

- Discusses agriculture's role and the detection of diseases in plants

- Basic deep learning techniques and how dataset images are compared among model performances

- Talks about image processing fields like surveillance, detection, and recognition. Digital properties have developed dehazing techniques to enhance images and obtain information

- Explains the modification of networking services and how it affects the way of cyberspace communication

- Extensive research on how deep learning is used and challenged by academics, students, and researchers in pointing out accurate metrics and how to increase green AI by reducing its environmental impact

商品描述(中文翻譯)

深入探討這本關於「深度學習技術」的15章書籍，以及它的解決方案如何使計算機能夠從經驗中學習並理解層次概念。它提供了在檢測、預測和未來框架開發等領域中應用深度學習的方法。本書簡要介紹了人工智能領域的最新進展，討論了強化學習以及將深度學習技術應用於各個領域的方法。

本書討論的主題包括：
- 社交媒體在社會中的滲透以及印度婦女被剝奪手機服務的情況。該研究生成了有關性別如何塑造個體的研究。
- 討論了農業的角色以及對植物疾病的檢測。
- 基本的深度學習技術以及如何比較數據集圖像在模型性能方面的差異。
- 談論了像監視、檢測和識別這樣的圖像處理領域。數字屬性已經開發了去霧技術來增強圖像並獲取信息。
- 解釋了網絡服務的修改以及它如何影響網絡空間通信的方式。
- 對深度學習在學術界、學生和研究人員中的應用和挑戰進行了廣泛的研究，指出了準確的指標以及如何通過減少其環境影響來增加綠色人工智能。

作者簡介

Pramod Singh Rathore is an assistant professor in the Department of Computer and Communication Engineering, Manipal University Jaipur, India. He has teaching experience of more than 10 years and has 45 publications in peer-reviewed national and international journals.

Sachin Ahuja, PhD, is a professor in the Department of Computer Science, Chandigarh University, Punjab, India. He has guided several ME and PhD scholars in artificial intelligence, machine learning, and data mining.

Srinivasa Rao Burri is a senior software engineering manager at Western Union, Denver, Colorado. He completed an MS degree in software development from Boston University. He also has received his certifications in Data Science and Machine Learning from Stanford University, Harvard University and Johns Hopkins University. He started his career as a test automation architect in 2004, and has since worked as a leader for many Fortune 500 Organizations advising them on global compliance, data privatization, cloud migration, and AI & ML. He has published multiple articles in international journals.

Ajay Khunteta, PhD, is a dean and professor of computer science and engineering, Poornima University, Jaipur, Rajasthan, India. His research focuses on AI, machine learning, and distributing systems. He has published more than 100 articles in international and national journals and guided 44 M.Tech projects.

Anupam Baliyan, PhD, is Dean of Academic Planning and Research, Galgotias University, India. His research focuses on artificial intelligence, computer networks, computer vision, and machine learning. Along with being a chair and keynote speaker at international conferences, Baliyan has guided more than 20 M.Tech projects and theses.

Abhishek Kumar, PhD, is an associate professor in the Faculty of Engineering, Manipal University, Jaipur, Rajasthan, India and is currently a Post-Doctoral Fellow in Ingenium Research Group Lab, Universidad De Castilla- La Mancha, Ciudad Real, Spain. He has more than 170 publications in peer-reviewed national and international journals and conferences.

作者簡介(中文翻譯)

Pramod Singh Rathore是印度Manipal University Jaipur的電腦與通訊工程系助理教授。他擁有超過10年的教學經驗，並在同行評審的國內外期刊上發表了45篇論文。

Sachin Ahuja博士是印度Punjab的Chandigarh University的電腦科學系教授。他在人工智慧、機器學習和數據挖掘方面指導了多位碩士和博士研究生。

Srinivasa Rao Burri是美國科羅拉多州丹佛市Western Union的高級軟體工程經理。他在波士頓大學獲得了軟體開發的碩士學位，並在斯坦福大學、哈佛大學和約翰霍普金斯大學獲得了數據科學和機器學習的證書。他於2004年開始他的職業生涯，擔任測試自動化架構師，並在許多財富500強企業擔任領導職位，為他們提供全球合規、數據私有化、雲遷移和人工智慧與機器學習方面的建議。他在國際期刊上發表了多篇文章。

Ajay Khunteta博士是印度Rajasthan州Jaipur的Poornima University的電腦科學與工程系主任和教授。他的研究重點是人工智慧、機器學習和分散系統。他在國際和國內期刊上發表了100多篇文章，並指導了44個碩士專案。

Anupam Baliyan博士是印度Galgotias University的學術規劃和研究主任。他的研究重點是人工智慧、計算機網絡、計算機視覺和機器學習。除了擔任國際會議的主席和主題演講嘉賓外，Baliyan還指導了20多個碩士專案和論文。

Abhishek Kumar博士是印度Rajasthan州Jaipur的Manipal University工程學院的副教授，目前是西班牙Ciudad Real的Ingenium Research Group Lab的博士後研究員。他在同行評審的國內外期刊和會議上發表了超過170篇論文。

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