AI-Based Metaheuristics for Information Security and Digital Media
暫譯: 基於人工智慧的元啟發式演算法於資訊安全與數位媒體的應用
Shastri, Apoorva S., Singh, Mangal, Kulkarni, Anand J.
相關主題
商品描述
This book examines the latest developments in Artificial Intelligence (AI)-based metaheuristics algorithms with applications in information security for digital media. It highlights the importance of several security parameters, their analysis, and validations for different practical applications. Drawing on multidisciplinary research including computer vision, machine learning, artificial intelligence, and modified/newly developed metaheuristics algorithms, it will enhance information security for society. It includes state-of-the-art research with illustrations and exercises throughout.
商品描述(中文翻譯)
本書探討基於人工智慧（Artificial Intelligence, AI）的元啟發式演算法在數位媒體資訊安全中的最新發展。它強調了幾個安全參數的重要性，以及這些參數在不同實際應用中的分析和驗證。透過跨學科的研究，包括計算機視覺、機器學習、人工智慧以及修改/新開發的元啟發式演算法，本書將增強社會的資訊安全。書中包含最先進的研究，並配有插圖和練習題。
作者簡介
Dr Apoorva S Shastri is a Research Assistant Professor at Artificial Intelligence at the MITWPU, Pune, India. Her research interests include optimization algorithms, VLSI design, multi-objective optimization, continuous, discrete and combinatorial optimization, complex systems, manufacturing and self-organizing systems. She has developed socio-inspired optimization methodologies such as Multi-Cohort Intelligence Algorithm and Expectation Algorithm.
Dr Mangal Singh is an Associate Professor at Symbiosis Institute of Technology, Symbiosis International (Deemed University). His main research interests are the development and application of optimization heuristics algorithms and their applications to various engineering fields. He is also working on signal processing for 6G and beyond wireless communication.
Dr Anand J Kulkarni is working as Professor and Associate Director of the Institute of Artificial Intelligence at the MITWPU, Pune, India. His research interests include optimization algorithms, multi-objective optimization, continuous, discrete and combinatorial optimization, swarm optimization and self-organizing systems.
Dr Patrick Siarry is a Professor in automatics and informatics. His main research interests are the development of new stochastic global optimization heuristics and their applications to various engineering fields. He is also interested in the fitting of process models to experimental data, the learning of fuzzy rule bases and of neural networks.
作者簡介(中文翻譯)
阿普爾瓦·S·沙斯特里博士是印度浦那MITWPU人工智慧研究助理教授。她的研究興趣包括優化演算法、VLSI設計、多目標優化、連續、離散及組合優化、複雜系統、製造及自組織系統。她開發了社會啟發的優化方法論，如多群體智慧演算法（Multi-Cohort Intelligence Algorithm）和期望演算法（Expectation Algorithm）。
曼戈爾·辛格博士是辛比歐西斯國際（被認定大學）辛比歐西斯科技學院的副教授。他的主要研究興趣是優化啟發式演算法的開發及其在各工程領域的應用。他也在研究6G及未來無線通信的信號處理。
阿南德·J·庫爾卡尼博士擔任印度浦那MITWPU人工智慧研究所的教授及副主任。他的研究興趣包括優化演算法、多目標優化、連續、離散及組合優化、群體優化及自組織系統。
帕特里克·西亞里博士是自動化與資訊學的教授。他的主要研究興趣是新型隨機全局優化啟發式演算法的開發及其在各工程領域的應用。他也對將過程模型擬合到實驗數據、學習模糊規則基及神經網絡感興趣。
