Deep Learning Applications: Select Topics
暫譯: 深度學習應用：選擇主題

Abualigah, Laith

Deep Learning Applications: Select Topics
  • 出版商: CRC
  • 出版日期: 2026-05-12
  • 售價: $4,980
  • 貴賓價: 9.5 折 $4,731
  • 語言: 英文
  • 頁數: 156
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 104110572X
  • ISBN-13: 9781041105725
  • 相關分類: DeepLearning

    • 海外代購書籍(需單獨結帳)

商品描述

A comprehensive compilation that explores a wide range of applications where deep learning techniques have had impact and its practical uses. The book covers fields like healthcare, finance, autonomous systems, and more. The methodologies such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), and reinforcement learning, have been included.

In healthcare deep learning is used for medical image analysis, disease prediction, and personalized medicine. In the financial sector, aspects like fraud detection, algorithmic trading, and risk management are reviewed. Also autonomous systems, including self-driving cars and drones are explored.

Each chapter includes detailed case studies, experimental results, and insights from leading experts, offering readers both foundational knowledge and advanced techniques. The book serves as a valuable resource for researchers, practitioners, and students seeking to understand the breadth and depth of deep learning applications.

商品描述(中文翻譯)

一本全面的彙編，探討深度學習技術在各種應用中的影響及其實際用途。該書涵蓋了醫療保健、金融、自主系統等領域。書中包括了卷積神經網絡（Convolutional Neural Networks, CNNs）、循環神經網絡（Recurrent Neural Networks, RNNs）、生成對抗網絡（Generative Adversarial Networks, GANs）和強化學習等方法論。

在醫療保健領域，深度學習被用於醫學影像分析、疾病預測和個性化醫療。在金融領域，則回顧了詐騙檢測、算法交易和風險管理等方面。此外，自主系統，包括自駕車和無人機也得到了探討。

每一章都包含詳細的案例研究、實驗結果和來自領先專家的見解，為讀者提供基礎知識和進階技術。該書是研究人員、實務工作者和學生了解深度學習應用的廣度和深度的寶貴資源。

作者簡介

Laith Abualigah is an Associate Professor at the Computer Science Department at Al Al-Bayt University, Jordan. He is also a distinguished researcher at many prestigious universities. He obtained a PhD from the School of Computer Science at Universiti Sains Malaysia (USM), Malaysia, in 2018. He is Clativate's Highly Cited Researcher for the years 2021-2024 and a top 1% Influential Researcher, of Web of Science. He is also a top 2% scientist (Stanford University). He has published more than 650 journal papers and books, which collectively have been cited more than 33,000 times (H-index = 81). His main research interests are Artificial Intelligence, Meta-heuristic Modeling, and Optimization Algorithms, Evolutionary Computations, Information Retrieval, Text clustering, Feature Selection, Combinatorial Problems, Optimization, Advanced Machine Learning, Big data, and Natural Language Processing. He is an associate editor of many prestigious journals.

作者簡介(中文翻譯)

Laith Abualigah 是約旦阿爾貝特大學計算機科學系的副教授。他同時也是多所知名大學的傑出研究員。他於2018年在馬來西亞科學大學（Universiti Sains Malaysia, USM）的計算機科學學院獲得博士學位。他是Clativate在2021年至2024年間的高被引研究者，也是Web of Science的前1%影響力研究者。他同時也是斯坦福大學的前2%科學家。他已發表超過650篇期刊論文和書籍，這些作品的總引用次數超過33,000次（H指數 = 81）。他的主要研究興趣包括人工智慧、元啟發式建模與優化演算法、進化計算、資訊檢索、文本聚類、特徵選擇、組合問題、優化、高級機器學習、大數據和自然語言處理。他是多本知名期刊的副編輯。

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