Technology for a Resilient Future
暫譯: 打造韌性未來的科技

Vincent, Shweta, Moorthy, Ramya S., Dasari, Kiran

Technology for a Resilient Future
  • 出版商: CRC
  • 出版日期: 2026-09-30
  • 售價: $2,560
  • 貴賓價: 9.5 折 $2,432
  • 語言: 英文
  • 頁數: 280
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1041393458
  • ISBN-13: 9781041393450
  • 相關分類: Machine Learning、Computer Vision、物聯網 IoT

    • 尚未上市，無法訂購

相關主題

商品描述

The book addresses the exploration of cutting-edge technological advancements.

This collection encompasses a comprehensive range of peer-reviewed research across nine strategic tracks, including Robotics and Intelligent Systems, Industrial Automation, IoT, and Cyber-Security. Significant focus is placed on the transformative role of Artificial Intelligence and Machine Learning in specialized domains such as Natural Disaster Management, Space Technology, and Medical Device Research. The findings illustrated within these chapters delve into automated digital manufacturing systems, advanced machine vision, and the integration of smart sensors. By highlighting innovations that foster industrial resilience, the book documents how modern control systems and AI-driven methodologies are being deployed to optimize resource management and solve complex real-world problems.

This book is intended for researchers, academic faculty, and postgraduate students specializing in mechatronics, AI, and systems engineering. It is also an essential resource for industry professionals and technical consultants seeking the latest developments in automation, IoT security, and the application of machine learning in high-stakes fields like medicine and disaster recovery.

商品描述(中文翻譯)

本書探討尖端技術的最新發展。

本論文集涵蓋九個策略主題領域中廣泛且經過同儕審查的研究成果，包括 Robotics and Intelligent Systems、Industrial Automation、IoT 與 Cyber-Security。內容特別著重於 Artificial Intelligence 與 Machine Learning 在 Natural Disaster Management、Space Technology 及 Medical Device Research 等專業領域所扮演的變革性角色。本書各章所呈現的研究成果，深入探討自動化數位製造系統、先進機器視覺，以及智慧型感測器的整合。透過凸顯能提升產業韌性的創新技術，本書記錄了現代控制系統與 AI 驅動方法如何被應用於最佳化資源管理，並解決複雜的現實世界問題。

本書適合專攻機電整合、AI 與系統工程的研究人員、學術教師及研究生閱讀。同時，本書也是產業專業人士與技術顧問不可或缺的參考資源，協助讀者掌握 Automation、IoT security，以及 Machine Learning 在醫療與災害復原等高風險領域的最新發展與應用。

作者簡介

Shweta Vincent is an Associate Professor in the Department of Mechatronics at Manipal Institute of Technology with over 18 years of experience. Her research integrates Artificial Intelligence (AI) and Machine Learning (ML) into Industrial IoT and sustainable manufacturing to optimize industrial operations. She is a member of the ITU-T Focus Group on AI for Natural Disaster Management (FG-AI4NDM), where she collaborates on developing AI-based early warning systems and hazard mapping. Her work focuses on applying technological innovations to address global environmental and industrial challenges.

Ramya S. Moorthy is an Assistant Professor at MIT Manipal and the Founder Director of Nimaya Innovations Pvt. Ltd. A University Gold Medalist in M.Tech Robotics and an INSPIRE Fellow, she pioneered "Suprayoga," an IoT-based training system that accelerates psychomotor and cognitive learning for children with Autism Spectrum Disorder (ASD). Recognized with the "Women Transforming India Award 2021" by NITI Aayog and the "Devi Award 2023," her work focuses on leveraging robotics to foster independent living for children with special needs. Her research is widely published in international scientific journals.

Kiran Dasari holds a Ph.D. in Electronics and Communication Engineering from NIT Warangal. Currently a faculty member at MIT Manipal, he serves as a Co-Principal Investigator for an ISRO-sponsored Chandrayaan-2 project. With 12 years of research and teaching experience, his expertise spans Microwave Imaging, Remote Sensing, SAR Polarimetry, and Robotics. Dr. Dasari is an IEEE Geoscience and Remote Sensing Society member and a reviewer for high-impact journals. He has received multiple best paper awards for his contributions to remote sensing and embedded systems.

作者簡介(中文翻譯)

Shweta Vincent 是 Manipal Institute of Technology 機電整合學系的副教授，擁有超過 18 年的經驗。她的研究將人工智慧（Artificial Intelligence, AI）與機器學習（Machine Learning, ML）整合至工業物聯網（Industrial IoT）和永續製造領域，以最佳化工業營運。她是 ITU-T「自然災害管理人工智慧焦點小組」（Focus Group on AI for Natural Disaster Management, FG-AI4NDM）的成員，並參與開發以 AI 為基礎的早期預警系統與災害風險地圖。她的研究工作著重於運用技術創新，因應全球環境與工業所面臨的挑戰。

Ramya S. Moorthy 是 MIT Manipal 的助理教授，也是 Nimaya Innovations Pvt. Ltd. 的創辦董事。她是 Robotics 碩士課程的校級金牌得主，並獲選為 INSPIRE Fellow。她率先開發「Suprayoga」，這是一套以物聯網（IoT）為基礎的訓練系統，可加速自閉症類群障礙（Autism Spectrum Disorder, ASD）兒童的心理動作與認知學習。她曾獲 NITI Aayog 頒發「Women Transforming India Award 2021」，以及「Devi Award 2023」。她的研究工作著重於運用 Robotics，協助特殊需求兒童培養獨立生活能力。她的研究成果廣泛發表於國際科學期刊。

Kiran Dasari 擁有 NIT Warangal 電子與通訊工程博士學位。目前任教於 MIT Manipal，並擔任 ISRO 贊助之 Chandrayaan-2 計畫的共同首席研究員。他具備 12 年的研究與教學經驗，專長涵蓋微波成像（Microwave Imaging）、遙測（Remote Sensing）、合成孔徑雷達極化測量（SAR Polarimetry）與 Robotics。Dasari 博士是 IEEE Geoscience and Remote Sensing Society 的會員，並擔任多本高影響力期刊的審稿人。他曾因在遙測與嵌入式系統領域的貢獻，獲得多項最佳論文獎。

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