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 Free Download Critical Security Controls for Effective Cyber Defense: A Comprehensive Guide to CIS 18 Controls English | 2024 | ASIN : B0D6FRJZDL | 585 Pages | PDF EPUB (True) | 4 MB The core of the book is an exhaustive examination of each CIS 18 Control. Developed by the Center for Internet Security (CIS), these controls are the benchmark in cybersecurity, crafted to counteract the most common and impactful cyber threats. The book breaks down these controls into comprehensible segments, explaining their implementation, management, and effectiveness. This detailed approach is crucial in the context of the digital era's evolving cyber threats, heightened by the rise in remote work and cloud-based technologies. The book's relevance is magnified by its focus on contemporary challenges, offering strategies to strengthen cyber defenses in a fast-paced digital world.
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 Free Download Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks by Patricia Melin , Martha Ramirez , Oscar Castillo English | PDF EPUB (True) | 2024 | 82 Pages | ISBN : 3031711009 | 9.5 MB This book provides a new model for clustering, classification, and time series prediction by using artificial neural networks to computationally simulate the behavior of the cognitive functions of the brain is presented. This model focuses on the study of intelligent hybrid neural systems and their use in time series analysis and decision support systems. Therefore, through the development of eight case studies, multiple time series related to the following problems are analyzed: traffic accidents, air quality and multiple global indicators (energy consumption, birth rate, mortality rate, population growth, inflation, unemployment, sustainable development, and quality of life). The main contribution consists of a Generalized Type-2 fuzzy integration of multiple indicators (time series) using both supervised and unsupervised neural networks and a set of Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. The obtained results show the advantages of the proposed model of Generalized Type-2 fuzzy integration of multiple time series attributes. This book is intended to be a reference for scientists and engineers interested in applying type-2 fuzzy logic techniques for solving problems in classification and prediction. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book. |
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