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Free Ebooks DownloadWelcome to DL4ALL.org – your ultimate destination for ebooks across every genre. Whether you’re into fiction, self-help, education, or niche topics, we offer an extensive library to satisfy your thirst for knowledge and entertainment. Why Choose DL4ALL.org?
Start your reading journey today on DL4ALL.org and unlock a world of imagination, knowledge, and inspiration!  English | 2022 | ISBN: 9355512805 | 340 pages | PDF | 22.5 MB learn practical knowledge rather than theoretical knowledge.  English | 2022 | ISBN: 1119798760 | 355 pages | True PDF | 5.15 MB Artificial Intelligence in Industry 4.0 and 5G Technology  English | 2022 | ISBN: 3110738821| 242 pages | True PDF EPUB | 13.8 MB This book focuses on artifi cial intelligence in the field of digital signal processing and wireless communication. The implementation of machine learning and deep learning in audio, image, and video processing is presented, while adaptive signal processing and biomedical signal processing are also explored through DL algorithms, as well as 5G and green communication. Finally, metaheuristic algorithms of related mathematical problems are explored.  English | 2022 | ISBN: 1787783707, 978-1787783706 | 342 pages | EPUB | 8.58 MB A global perspective on AI  English | 2022 | ISBN: 1800611382 | 337 pages | True PDF EPUB | 127.47 MB Artificial Intelligence Applications in Human Pathology deals with the latest topics in biomedical research and clinical cancer diagnostics. With chapters provided by true international experts in the field, this book gives real examples of the implementation of AI and machine learning in human pathology.Advances in machine learning and AI in general have propelled computational and general pathology research. Today, computer systems approach the diagnostic levels achieved by humans for certain well-defined tasks in pathology. At the same time, pathologists are faced with an increased workload both quantitatively (numbers of cases) and qualitatively (the amount of work per case, with increasing treatment options and the type of data delivered by pathologists also expected to become more fine-grained). AI will support and leverage mathematical tools and implement data-driven methods as a center for data interpretation in modern tissue diagnosis and pathology. Digital or computational pathology will also foster the training of future computational pathologists, those with both pathology and non-pathology backgrounds, who will eventually decide that AI-based pathology will serve as an indispensable hub for data-related research in a global health care system.Some of the specific topics explored within include an introduction to DL as applied to Pathology, Standardized Tissue Sampling for Automated Analysis, integrating Computational Pathology into Histopathology workflows. Readers will also find examples of specific techniques applied to specific diseases that will aid their research and treatments including but not limited to; Tissue Cartography for Colorectal Cancer, Ki-67 Measurements in Breast Cancer, and Light-Sheet Microscopy as applied to Virtual Histology.The key role for pathologists in tissue diagnostics will prevail and even expand through interdisciplinary work and the intuitive use of an advanced and interoperating (AI-supported) pathology workflow delivering novel and complex features that will serve the understanding of individual diseases and of course the patient.  English | 2022 | ISBN: 0804852588 | 322 pages | True PDF | 11.07 MB A complete beginning language course for Modern Standard Arabic!  English | 2022 | ISBN: 1685075606, 978-1685075606 | 130 pages | True PDF | 10.42 MB "In our lives, we need information continuously to carry out tasks of any kind (personal, academic, and professional). Depending on the context in which we find ourselves and the time available to carry out the task, emotions such as uncertainty and stress can present in the search process. But the important thing is that when we know the search process, the uncertainty and stress are minimized. In this context, the author investigates existing studies on the search and retrieval of information from the user's perspective. The study turned out to be very complex for two reasons: 1. Scientific literature is widely dispersed in different articles and academic books, even if it was the same search and information retrieval model. 2. Sources are not accessible to all people. As a consequence, the author plans to disseminate the results of this research with the aim of facilitating knowledge and understanding of anyone interested in entering the information search and retrieval process. With the collaborationof Nova Science Publishers, we find ourselves before an affordable, simple, and manageable book. Chapters 1 to 7 outline the search and information retrieval models of the following authors: Belkin, Ingwersen, Ellis, Kuhlthau, Wilson, Dervin, and Bystrèom. In Chapter 8, the author presents her own model for searching and retrieving information. This model is formed by some elements previously seen from the other authors, but also by other novel ones such as the organisation. This is due to the fact that some of the tasks carried out with greater frequency and complexity are those that intervene in our professional tasks, in which scientific studies confirm that an effective organisation cannot be conceived without efficient information management"--  English | 2021 | ISBN: 1799877698, 978-1799877691 | 390 pages | True PDF EPUB | 21.38 MB In the field of student affairs, many are rethinking the value of a wide variety of traditional aspects associated with the student experience. Recent commentary has questioned whether students should attend college that has an all-inclusive tuition, focused primarily upon academic and support services. Given the need for changes the COVID-19 pandemic has created, it is imperative to question whether this kind of academic package is ideal for the future of higher education. As issues surrounding the traditional aspects of the student experience continue to develop, research has begun to focus on how student learning and awareness can be improved, specifically within the principles of design thinking. Applying Design Thinking to the Measurement of Experiential Learning is a forward-thinking and innovative look at assessment and design conditions that promote student learning. It proposes new models for education, conditions for student learning, and student learning assessment using design thinking and experiential learning. These topics include adjustments to curriculum, integrated learning environments, student success and student affairs, campus-wide design thinking, and testing assessments. This book is valuable for senior leaders in the field of student affairs, student affairs assessment professionals and faculty teaching in higher education programs, practitioners, researchers, academicians, and students interested in how the principles of design thinking can be applied to higher education.  English | 2022 | ISBN: 1462549861 | 564 pages | True PDF | 16.36 MB The most user-friendly and authoritative resource on missing data has been completely revised to make room for the latest developments that make handling missing data more effective. The second edition includes new methods based on factored regressions, newer model-based imputation strategies, and innovations in Bayesian analysis. State-of-the-art technical literature on missing data is translated into accessible guidelines for applied researchers and graduate students. The second edition takes an even, three-pronged approach to maximum likelihood estimation (MLE), Bayesian estimation as an alternative to MLE, and multiple imputation. Consistently organized chapters explain the rationale and procedural details for each technique and illustrate the analyses with engaging worked-through examples on such topics as young adult smoking, employee turnover, and chronic pain. The companion website ( www.appliedmissingdata.com ) includes datasets and analysis examples from the book, up-to-date software information, and other resources.  English | 2022 | ISBN: 1470467631, 978-1470467630 | 278 pages | True PDF | 6.36 MB Graphs measure interactions between objects such as friendship links on Twitter, transactions between Bitcoin users, and the flow of energy in a food chain. While graphs statically represent interacting systems, they may also be used to model dynamic interactions. For example, imagine an invisible evader loose on a graph, leaving only behind breadcrumb clues to their whereabouts. You set out with pursuers of your own, seeking out the evader's location. Would you be able to detect their location? If so, then how many resources are needed for detection, and how fast can that happen? These basic-seeming questions point towards the broad conceptual framework of pursuit-evasion games played on graphs. Central to pursuit-evasion games on graphs is the idea of optimizing certain parameters, whether they are the cop number, burning number, or localization number, for example. This book would be excellent for a second course in graph theory at the undergraduate or graduate level. It surveys different areas in graph searching and highlights many fascinating topics intersecting classical graph theory, geometry, and combinatorial designs. Each chapter ends with approximately twenty exercises and five larger scale projects. |
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