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 Название: Practical Social Engineering: A Primer for the Ethical Hacker (Early Access)
Автор: Joe Gray
Издательство: No Starch Press
Год: 2021
Формат: PDF
Страниц: 210
Размер: 10 Mb
Язык: English
An ethical introduction to social engineering, an attack technique that leverages psychology, deception, and publicly available information to breach the defenses of a human target in order to gain access to an asset. Social engineering is key to the effectiveness of any computer security professional.
Social engineering is the art of capitalizing on human psychology to compromise systems, not technical vulnerabilities. It’s an effective method of attack because even the most advanced security detection teams can do little to defend against an employee clicking a malicious link or opening a file in an email and even less to what an employee may say on a phone call. This book will show you how to take advantage of these ethically sinister techniques so you can better understand what goes into these attacks as well as thwart attempts to gain access by cyber criminals and malicious actors who take advantage of human nature. | |
Разместил: vitvikvas 11-07-2021, 13:24 | Комментарии: 0 | Подробнее
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 Название: Hacking with Spring Boot 2.4: Classic Edition
Автор: Greg L. Turnquist
Издательство: Leanpub
Год: 2021
Формат: ePUB, PDF
Страниц: 308
Размер: 14 Mb
Язык: Русский
Spring Boot 2.4 is what everyone uses when it comes to Java application development!
...when it comes to Java development. | |
Разместил: vitvikvas 11-07-2021, 13:01 | Комментарии: 0 | Подробнее
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 Название: Introduction to Computer Programming and Numerical Methods
Автор: Jocelyn O. Padallan
Издательство: Arcler Press
Год: 2021
Формат: PDF
Страниц: 262
Размер: 10 Mb
Язык: English
In the current times, computing is a very important skill to have. It is even better if you know the basics on which the computing and programming develops itself and the numerical approach that they involve. This is a field that is a subject of attention and study for several programming enthusiasts. This book, Introduction to Computer Programming and Numerical Methods, takes the readers through various such techniques that are used for programming and the numerical methods involved in them, to educate them about the fundamentals and starting point of computer programming. | |
Разместил: vitvikvas 11-07-2021, 12:49 | Комментарии: 0 | Подробнее
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 Название: Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
Автор: Ramchandra S. Mangrulkar, Antonis Michalas, Narendra M. Shekokar, Meera Narvekar, Pallavi V. Chavan
Издательство: CRC Press
Год: 2021
Формат: PDF
Страниц: 447
Размер: 21,7 Mb
Язык: English
Machine learning (ML) and deep learning (DL) algorithms are invaluable resources for Industry 4.0 and allied areas and are considered as the future of computing. A subfield called neural networks, to recognize and understand patterns in data, helps a machine carry out tasks in a manner similar to humans. The intelligent models developed using ML and DL are effectively designed and are fully investigated – bringing in practical applications in many fields such as health care, agriculture and security. These algorithms can only be successfully applied in the context of data computing and analysis. Today, ML and DL have created conditions for potential developments in detection and prediction. | |
Разместил: vitvikvas 11-07-2021, 12:38 | Комментарии: 0 | Подробнее
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 Название: Android Malware Detection using Machine Learning
Автор:
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 212
Размер: 134 Mb
Язык: English
The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) the portability over different platforms and architectures. | |
Разместил: vitvikvas 11-07-2021, 09:32 | Комментарии: 0 | Подробнее
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 Название: Applications of Artificial Intelligence in Process Systems Engineering
Автор: Jingzheng Ren, Weifeng Shen, Yi Man
Издательство: Elsevier
Год: 2021
Страниц: 542
Язык: английский
Формат: pdf (true)
Размер: 53.8 MB
Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, Big Data, the industrial Internet of Things and Deep Learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. | |
Разместил: Ingvar16 11-07-2021, 03:20 | Комментарии: 0 | Подробнее
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 Название: Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics
Автор: Pradeep N., Sandeep Kautish, Sheng-Lung Peng
Издательство: Academic Press, Elsevier
Год: 2021
Страниц: 374
Язык: английский
Формат: pdf (true)
Размер: 43.6 MB
Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers Big Data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of Deep Learning (DL) and Machine Learning (ML), and provides an outlook on future directions of research and development. | |
Разместил: Ingvar16 11-07-2021, 00:33 | Комментарии: 0 | Подробнее
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 Название: Artificial Intelligence and Internet of Things: Applications in Smart Healthcare
Автор: Lalit Mohan Goyal, Tanzila Saba, Amjad Rehman
Издательство: CRC Press
Год: 2021
Страниц: 406
Язык: английский
Формат: pdf (true)
Размер: 16.9 MB
This book reveals the applications of AI and IoT in smart healthcare and medical systems. It provides core principles, algorithms, protocols, emerging trends, security problems, and the latest e-healthcare services findings. The book also provides case studies and discusses how AI and IoT applications such as wireless devices, sensors, and Deep Learning (DL) could play a major role in assisting patients, doctors, and pharmaceutical staff. Cutting-edge AI subjects such as Deep Learning, reinforcement learning, architecture design security and privacy issues of IoT, and remote-health-monitoring systems are thoroughly presented. | |
Разместил: Ingvar16 10-07-2021, 22:10 | Комментарии: 0 | Подробнее
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 Название: Doing Meta-Analysis with R: A Hands-On Guide
Автор: Mathias Harrer, Pim Cuijpers, Toshi A. Furukawa
Издательство: CRC Press
Год: 2021
Страниц: 501
Язык: английский
Формат: pdf (true)
Размер: 51.0 MB
Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. | |
Разместил: Ingvar16 10-07-2021, 21:47 | Комментарии: 0 | Подробнее
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 Название: Handbook of Deep Learning in Biomedical Engineering and Health Informatics
Автор: E. Golden Julie, Y. Harold Robinson, S.M. Jaisakthi
Издательство: Apple Academic Press, CRC Press
Год: 2022
Страниц: 345
Язык: английский
Формат: pdf (true)
Размер: 41.1 MB
This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics. Deep Learning in the biomedical field is an effective method of collecting and analyzing data that can be used for the accurate diagnosis of disease. This volume delves into a variety of applications, techniques, algorithms, platforms, and tools used in this area, such as image segmentation, classification, registration, and computer-aided analysis. The editors proceed on the principle that accurate diagnosis of disease depends on image acquisition and interpretation. There are many methods to get high resolution radiological images, but we are still lacking in automated image interpretation. Currently deep learning techniques are providing a feasible solution for automatic diagnosis of disease with good accuracy. | |
Разместил: Ingvar16 10-07-2021, 21:34 | Комментарии: 0 | Подробнее
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