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 English | 2022 | ISBN: 0860378519 | 355 pages | True EPUB | 5.6 MB Shah Wali-Allah was a great sufi scholar born in the Indian Sub-Continent in the 1700's. He had a deep understanding of Qur'an, Hadith and Fiqh. This book is unique as it focussing on Shah Wali-Allah's thought from an economic perspective. Chapters discuss his economic ideas, his contribution to Tadbir al-Manzil (household management), money and interest, as well as public finance and socio-economic development.
 English | 2022 | ISBN: 3031084799 | 142 pages | True PDF EPUB | 17.16 MB This SpringerBrief introduces methodologies and tools for quantitative understanding and assessment of supply chain risk to critical infrastructure systems. It unites system reliability analysis, optimization theory, detection theory and mechanism design theory to study vendor involvement in overall system security. It also provides decision support for risk mitigation.  English | 2022 | ISBN: 978-1032105710 | 391 pages | True PDF | 19.38 MB The complexity of large-scale data sets ("Big Data") has stimulated the development of advanced  English | 2022 | ISBN: 0262046989 | 232 pages | True EPUB | 14.49 MB New edition of a graduate-level textbook on that focuses on online convex optimization, a machine learning framework that views optimization as a process.  English | 2022 | ISBN: 0750310472 | 176 pages | True PDF EPUB MOBI | 62.56 MB The interdisciplinary field of network science has attracted enormous attention in recent years, although most results in the field have been obtained by analysing isolated networks. However, many real-world networks do interact with and depend on other networks. In such a network of interacting networks, the system displays surprising and rich behaviour where the failure of nodes in one network may lead to the failure of dependent nodes in other networks. This may happen recursively and can lead to a cascade of failures. In fact, a failure of a very small fraction of nodes in one network may lead to the complete fragmentation of a system of several interdependent networks. Such networks of networks are common and diverse critical infrastructures are frequently coupled together, including systems such as water, food and fuel supply, communications, financial markets and power supply. Different systems in our body, the brain, the respiratory and cardiac systems etc, regularly interact and are interdependent on each other. Moreover, social networks, such as Facebook and Twitter, which play an important role in our life, connect us to a huge system of interacting networks. Thus, understanding network of networks is important for many disciplines and has real-world applications. This book will be the first to discuss this new developing and exciting topic – robustness of network of networks – which can be regarded as a second revolution in network science and will be essential reading for a wide range of physicists, mathematicians, computer scientists, biologists, engineers and social scientists. It is expected to help both students and researchers in the network science field to discover the new fascinating phenomenon in the emerging field of network of networks.
 English | 2023 | ISBN: 1032204923 | 549 pages | True PDF EPUB | 332.41 MB Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a wide variety of machine learning and deep learning algorithms and techniques, reinforced via realistic applications. The book is accessible and doesn't prove theorems, or dwell on mathematical theory. The goal is to present topics at an intuitive level, with just enough detail to clarify the underlying concepts. The book covers core classic machine learning topics in depth, including Hidden Markov Models (HMM), Support Vector Machines (SVM), and clustering. Additional machine learning topics include k-Nearest Neighbor (k-NN), boosting, Random Forests, and Linear Discriminant Analysis (LDA). The fundamental deep learning topics of backpropagation, Convolutional Neural Networks (CNN), Multilayer Perceptrons (MLP), and Recurrent Neural Networks (RNN) are covered in depth. A broad range of advanced deep learning architectures are also presented, including Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Extreme Learning Machines (ELM), Residual Networks (ResNet), Deep Belief Networks (DBN), Bidirectional Encoder Representations from Transformers (BERT), and Word2Vec. Finally, several cutting-edge deep learning topics are discussed, including dropout regularization, attention, explainability, and adversarial attacks. Most of the examples in the book are drawn from the field of information security, with many of the machine learning and deep learning applications focused on malware. The applications presented serve to demystify the topics by illustrating the use of various learning techniques in straightforward scenarios. Some of the exercises in this book require programming, and elementary computing concepts are assumed in a few of the application sections. However, anyone with a modest amount of computing experience should have no trouble with this aspect of the book. Instructor resources, including PowerPoint slides, lecture videos, and other relevant material are provided on an accompanying website:http://www.cs.sjsu.edu/˜stamp/ML/.  English | 2022 | ISBN: 978-1630818326 | 739 pages | True PDF | 108.05 MB This newly revised and updated edition offers a current and complete introduction to the analysis and design of Electro-Optical (EO) imaging systems. The Third Edition provides numerous updates and several new chapters including those covering Pilotage, Infrared Search and Track, and Simplified Target Acquisition Model. The principles and components of the Linear Shift-Invariant (LSI) infrared and electro-optical systems are detailed in full and help you to combine this approach with calculus and domain transformations to achieve a successful imaging system analysis. Ultimately, the steps described in this book lead to results in quantitative characterizations of performance metrics such as modulation transfer functions, minimum resolvable temperature difference, minimum resolvable contrast, and probability of object discrimination.The book includes an introduction to two-dimensional functions and mathematics which can be used to describe image transfer characteristics and imaging system components. You also learn diffraction concepts of coherent and incoherent imaging systems which show you the fundamental limits of their performance. By using the evaluation procedures contained in this desktop reference, you become capable of predicting both sensor test and field performance and quantifying the effects of component variations. The book contains over 800 time-saving equations and includes numerous analyses and designs throughout. It also includes a reference link to special website prepared by the authors that augments the book in the classroom and serves as an additional resource for practicing engineers. With its comprehensive coverage and practical approach, this is a strong resource for engineers needing a bench reference for sensor and basic scenario performance calculations. Numerous analyses and designs are given throughout the text. It is also an excellent text for upper-level students with an interest in electronic imaging systems.  English | 2023 | ISBN: 3030860647 | 655 pages | True PDF EPUB | 72.18 MB This book presents an integrated systems approach to the evaluation, analysis, design, and maintenance of civil engineering systems. Addressing recent concerns about the world's aging civil infrastructure and its environmental impact, the author makes the case for why any civil infrastructure should be seen as part of a larger whole. He walks readers through all phases of a civil project, from feasibility assessment to construction to operations, explaining how to evaluate tasks and challenges at each phase using a holistic approach. Unique coverage of ethics, legal issues, and management is also included.  English | 2022 | ISBN: 1264134525 | 1408 pages | True EPUB | 22.08 MB The Spiceland/Nelson/Thomas/Winchel author team has created the new standard in Intermediate Accounting by providing students with the most accessible, comprehensive, and current Intermediate Accounting learning system. The rigorous yet readable approach has won over instructors across the country, while the conversational and consistent voice of this highly dedicated and deeply engaged author team has significantly improved student understanding.  English | 2020 | ISBN: 1337788287 | 1475 pages | True PDF | 161.59 MB Today's financial accounting is continuously changing. Now, you have a resource to help you understand the importance of accounting information and how that information is critical to others in business today with Wahlen/Jones/Pagachs INTERMEDIATE ACCOUNTING, 3E. Positive examples and cases from familiar companies, such as Starbucks, Coca-Cola, Apple, Louis Vuitton and Nestle, reinforce the book's unique, approachable perspective. You see the power of financial accounting information for investors, creditors and other stakeholders. This edition's in-depth coverage also clearly addresses the latest accounting standards. This edition works closely with CNOWv2 digital resources to help you manage the rigor and time requirements of today's intermediate accounting course. Learning tools help you master key concepts. In addition, algorithmic homework exercises allow you to solve multiple versions of exercises, in order to build confidence and expertise. |
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