Deep Learning Applications in Operations Research
暫譯: 運籌學中的深度學習應用

Misra, Sanjay, Jain, Amit, Kaushik, Manju

  • 出版商: Routledge
  • 出版日期: 2026-01-28
  • 售價: $8,320
  • 貴賓價: 9.5$7,904
  • 語言: 英文
  • 頁數: 277
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032709189
  • ISBN-13: 9781032709185
  • 相關分類: DeepLearningEdge computingMaker
  • 海外代購書籍(需單獨結帳)

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商品描述

Deep Learning Applications in Operations Research explores cutting-edge applications of deep learning and optimization techniques across various domains. By delving into the innovative approaches and emerging trends in advanced intelligent applications, the book examines innovation and leveraging emerging technologies to drive intelligent solutions across diverse domains. It covers such key areas as:

  • A comparative study of deep learning algorithms and genetic algorithms as stochastic optimizers, analyzing their effectiveness in operations research applications.
  • An updated approach to Critical Path Method (CPM) that combines traditional scheduling with modern computational methods for dynamic project environments.
  • A bibliometric analysis of smart warehousing trends in logistics operations management using R, providing data-driven insights into industry developments.
  • An examination of edge computing optimization for real-time decision-making in operations research, focusing on latency reduction and computational efficiency.
  • Development of a hybrid intrusion detection system for IoT networks, combining machine learning with anomaly and signature-based detection approaches.
  • Introduction of SAI-GAN, a novel approach for masked face reconstruction, paired with a DCNN-ELM classifier for enhanced biometric authentication.
  • Analysis of deep learning-driven mHealth applications in India's healthcare system, demonstrating how predictive analytics and real-time monitoring can improve healthcare accessibility.
  • Exploration of machine learning-driven ontology evolution in multi-tenant cloud architectures, advancing automated knowledge engineering through deep learning models.

Providing a wide-ranging overview of the field, the book helps researchers to navigate the rapidly evolving landscape of advanced intelligent applications. It demonstrates the transformative impact of deep learning in operations research by offering practical insights while establishing a foundation for future innovations.

商品描述(中文翻譯)

《深度學習在運籌學中的應用》探討了深度學習和優化技術在各個領域的前沿應用。通過深入研究先進智能應用中的創新方法和新興趨勢,本書檢視了創新及利用新興技術推動各種領域的智能解決方案。它涵蓋了以下幾個關鍵領域:

- 深度學習算法與遺傳算法作為隨機優化器的比較研究,分析它們在運籌學應用中的有效性。
- 對關鍵路徑法(Critical Path Method, CPM)的更新方法,結合傳統排程與現代計算方法,以應對動態專案環境。
- 使用 R 語言對物流運營管理中智能倉儲趨勢的文獻計量分析,提供數據驅動的行業發展見解。
- 檢視邊緣計算在運籌學中實時決策的優化,重點關注延遲降低和計算效率。
- 為物聯網(IoT)網絡開發混合入侵檢測系統,結合機器學習與異常檢測和基於特徵的檢測方法。
- 介紹 SAI-GAN,一種新穎的面具面部重建方法,搭配 DCNN-ELM 分類器以增強生物識別驗證。
- 分析深度學習驅動的印度醫療系統中的移動健康應用,展示預測分析和實時監控如何改善醫療可及性。
- 探索機器學習驅動的多租戶雲架構中的本體演化,通過深度學習模型推進自動化知識工程。

本書提供了該領域的廣泛概述,幫助研究人員在快速演變的先進智能應用環境中導航。它通過提供實用見解,展示了深度學習在運籌學中的變革性影響,同時為未來的創新奠定基礎。

作者簡介

Sanjay Misra is a senior scientist at the Department of Digital Sovereignty, Institute for Energy Technology, Halden, Norway.

Amit Jain is president, vice chancellor, and director of Amity University Rajasthan, India.

Manju Kaushik is a professor of software engineering at the Amity Institute of Information Technology and director of E-Cell and Center of IoT, Amity University Rajasthan, India.

Chitresh Banerjee is an associate professor at the Amity Institute of Information Technology, Amity University Rajasthan, India.

Rakhi Mutha is an associate professor at the Amity Institute of Information Technology, Amity University, Rajasthan, India.

作者簡介(中文翻譯)

Sanjay Misra 是挪威哈爾登能源技術研究所數位主權部門的高級科學家。
Amit Jain 是印度阿米提大學拉賈斯坦分校的校長、副校長及主任。
Manju Kaushik 是印度阿米提大學拉賈斯坦分校資訊技術學院的軟體工程教授,並擔任E-Cell及物聯網中心的主任。
Chitresh Banerjee 是印度阿米提大學拉賈斯坦分校資訊技術學院的副教授。
Rakhi Mutha 是印度阿米提大學拉賈斯坦分校資訊技術學院的副教授。