Artificial Intelligence and Spectroscopic Techniques for Gemology Applications

This collection highlights gemstone identification and analysis using spectroscopic techniques. It also includes the exciting applications of artificial intelligence and machine learning technologies that are being developed and used to enhance the efficiency of identification and analysis techniques. Laser-induced breakdown spectroscopy, Raman spectroscopy and FTIR spectroscopy applications are discussed in separate chapters. Ruby stone grading stone using optical tomography is the theme of another chapter. Chapters introduce the relevant theoretical concepts and present typical experimental methodologies with a focus on gemological applications and include experimental results and potential for future developments. A reader-friendly approach has been adopted throughout the book and basics of techniques have been included wherever appropriate. It provides a unique addition to the knowledge base in view of emerging applications of spectroscopic and information techniques in gemology. It not only suits the need of novice researchers but also intends to connect the experts to the state of the art in spectroscopic technology and associated machine learning applications.

Key Features:

• Includes case studies, recent trends and future prospects.
• Includes experimental set up as well as theoretical description.
• Encompasses applications and potential of AI and ML In gemology.
• Individual chapter content level designed to address the needs of novice researchers, as well as experienced researchers and technicians.

這本書集中介紹了使用光譜技術進行寶石鑑定和分析。它還包括正在開發和使用的人工智能和機器學習技術在鑑定和分析技術中提高效率的令人興奮的應用。書中分別討論了激光誘導激發光譜、拉曼光譜和傅立葉紅外光譜的應用。另一章的主題是使用光學斷層掃描技術對紅寶石進行分級。各章介紹相關的理論概念，並以寶石學應用為重點，提供典型的實驗方法和實驗結果，並探討未來的發展潛力。本書採用讀者友好的方式，並在適當的地方包含了技術基礎知識。在寶石學中，它為光譜和信息技術的新興應用增添了獨特的知識基礎。它不僅適合初學者研究人員的需求，還意在將專家與光譜技術和相關的機器學習應用的最新技術連接起來。

主要特點:
- 包括案例研究、最新趨勢和未來前景。
- 包括實驗設置和理論描述。
- 涵蓋了人工智能和機器學習在寶石學中的應用和潛力。
- 各章內容設計旨在滿足初學者研究人員以及經驗豐富的研究人員和技術人員的需求。