Imdad ullah (21 Ergebnisse)

Zustand: New. pp. 312.

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Paperback. Zustand: Brand New. 170 pages. 9.18x6.12x0.38 inches. In Stock.

Zustand: New.

Taschenbuch. Zustand: Neu. Preemptive Self-Defence in the Age of Terror | An International Law Perspective | Imdad Ullah | Taschenbuch | 104 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844311679 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Drone Age and the Law | Issues and Challenges | Imdad Ullah (u. a.) | Taschenbuch | 76 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844381597 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This is an important topic and very relevant for Pakistan''s ongoing undeclared war. The work is grounded in the mainstream literature on international law and it elaborates different perspectives on international law. The historical development of the concept of preemptive self-defence under international law that is traced leaves no doubt that prevailing interpretations are in fact political interpretations of our existing legal framework justified by reliance on socially constructed natural law. This descriptive work exposes gaps in current international law that needs to be addressed for realities of our complex twenty- first century. Without such updating international law will continue to be a tool in the hands of the dominant and will not promote ethical and just practices, it intends to uphold. Dr. Robina Bhatti (Professor), Institute of Global Studies, California State University. …

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 309 | Sprache: Englisch | Produktart: Bücher | This book is designed to provide a comprehensive introduction to R programming for data analysis, manipulation and presentation. It covers fundamental data structures such as vectors, matrices, arrays and lists, along with techniques for exploratory data analysis, data transformation and manipulation. The book explains basic statistical concepts and demonstrates their implementation using R, including descriptive statistics, graphical representation of data, probability, popular probability distributions and hypothesis testing. It also explores linear and non-linear modeling, model selection and diagnostic tools in R.The book also covers flow control and conditional calculations by using ¿¿if¿¿ conditions and loops and discusses useful functions and resources for further learning. It provides an extensive list of functions grouped according to statistics classification, which can be helpful for both statisticians and R programmers. The use of different graphic devices, high-level and low-level graphical functions and adjustment of parameters are also explained. Throughout the book, R commands, functions and objects are printed in a different font for easy identification. Common errors, warnings and mistakes in R are also discussed and classified with explanations on how to prevent them. …

Hardcover. Zustand: Brand New. 309 pages. 9.25x6.10x0.91 inches. In Stock.

Zustand: New.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 312 | Sprache: Englisch | Produktart: Bücher | This book is designed to provide a comprehensive introduction to R programming for data analysis, manipulation and presentation. It covers fundamental data structures such as vectors, matrices, arrays and lists, along with techniques for exploratory data analysis, data transformation and manipulation. The book explains basic statistical concepts and demonstrates their implementation using R, including descriptive statistics, graphical representation of data, probability, popular probability distributions and hypothesis testing. It also explores linear and non-linear modeling, model selection and diagnostic tools in R.The book also covers flow control and conditional calculations by using ¿¿if¿¿ conditions and loops and discusses useful functions and resources for further learning. It provides an extensive list of functions grouped according to statistics classification, which can be helpful for both statisticians and R programmers. The use of different graphic devices, high-level and low-level graphical functions and adjustment of parameters are also explained. Throughout the book, R commands, functions and objects are printed in a different font for easy identification. Common errors, warnings and mistakes in R are also discussed and classified with explanations on how to prevent them. …

Hardcover. Zustand: gut. 2023. Practicing R for Statistical Computing In deutscher Sprache. pages.

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Zustand: New. Examines the potential of edge computing and deep transfer learning, offering in-depth insights into how edge intelligence can be leveraged to enhance IoT and IIoT securityEmphasizes the development of lightweight and resource-efficient mod.

Zustand: New.

Hardcover. Zustand: Brand New. 169 pages. 9.25x6.00x0.50 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware - Edge Intelligence: Advanced Deep Transfer Learning for IoT Security presents a comprehensive exploration into the critical intersection of cybersecurity, edge computing, and deep learning, offering practitioners, researchers, and cybersecurity professionals a definitive guide to protect IoT/IIoT systems. This book delves into the synergistic potential of edge computing and advanced machine/deep learning algorithms, providing insights into lightweight and resource-efficient models with a special focus on resource-constrained edge devices. The rapidly evolving nature of cyberattacks underscores the need for updated and integrated resources that address the intersection of cybersecurity, edge computing, and deep learning. The authors address this issue by offering practical insights, lightweight models, and proactive defense mechanisms tailored to the unique challenges of securing edge devices and networks. This book is not only written to provide its audience effective strategies to detect and mitigate network intrusions by leveraging edge intelligence and advanced deep transfer learning techniques but also to provide practical insights and implementation guidelines tailored to resource-constrained edge devices.…