| |
|
|
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: 9811650896 | 169 pages | True PDF EPUB | 33.08 MB This book highlights recent advance in the area of Machine Learning and IoT, and their applications to solve societal issues/problems or useful for various users in the society. It is known that many smart devices are interconnected and the data generated is being analyzed and processed with machine learning models for prediction, classification, etc., to solve human needs in various sectors like health, road safety, agriculture, and education. This contributed book puts together chapters concerning the use of intelligent techniques in various aspects related to the IoT domain from protocols to applications, to give the reader an up-to-date picture of the state-of-the-art on the connection between computational intelligence, machine learning, and IoT.  English | 2022 | ISBN: 1032126876 | 292 pages | pdf | 16.34 MB Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments.  English | 2021 | ISBN: 1799871886 , 978-1799871880 | 259 pages | True PDF EPUB | 38.84 MB Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem as old as humanity itself: the proliferation of disease. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease explores different types of data and discusses how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more by applying cutting edge technology such as machine learning and data analytics in the wake of the COVID-19 pandemic. Covering a range of topics such as mental health analytics during COVID-19, data analysis and machine learning using Python, and statistical model development and deployment, it is ideal for researchers, academicians, data scientists, technologists, data analysts, diagnosticians, healthcare professionals, computer scientists, and students.  English | 2020 | ISBN: 1119404754 | 640 pages | True PDF | 6.58 MB Upgrade your programming language to more effectively handle high-frequency data  English | 2021 | ISBN: 9811234051 | 641 pages | True PDF EPUB | 163.6 MB This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives - the statistical perspective, the artificial neural network perspective and the deep learning methodology.The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning algorithms as well as to invent new machine learning methods. It tells a story outgoing from a perceptron to deep learning highlighted with concrete examples, including exercises and answers for the students.  English | 2022 | ISBN: 0736983775 | 241 pages | True EPUB | 20.53 MB Mama of ten Abbie Halberstadt helps women humbly and gracefully rise to the high calling of motherhood without settling for mediocrity or losing their minds in the process.  English | 2022 | ISBN: 0367744708 | 436 pages | True PDF | 22.3 MB Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.  English | 2022 | ISBN: 3030944182 | 396 pages | True PDF EPUB | 81.93 MB This book begins with an overview of the RF control concepts and strategies. It then introduces RF system models for optimizing the system parameters to satisfy beam requirements and for controller design. In addition to systematically discussing the RF field control algorithms, it presents typical architecture and algorithms for RF signal detection and actuation. Further, the book addresses the analysis of the noise and nonlinearity in LLRF systems to provide a better understanding of the performance of the RF control system and to specify the performance requirements for different parts of the RF system.  English | 2022 | ISBN: 303092033X | 189 pages | True PDF EPUB | 11.62 MB This book brings together what is currently known in terms of basic research in the field of long noncoding RNAs (lncRNAs) and builds on this to delve more deeply in the specific roles that lncRNAs are playing during inflammation. The book provides readers with basic knowledge on lncRNAs: from understanding the complexity of the transcriptome, conservation, structure and the tools used to investigate these aspects, to how we use this information to study lncRNAs in a specific biological context. The volume covers the emerging roles of lncRNAs in the initial stages of inflammation as well as their roles in specific inflammatory diseases including arthritis, lupus, diabetes and cardiovascular disease. The book also shows the emerging interest in using lncRNAs as a therapeutic target and how this could impact our ability to diagnose and treat inflammatory diseases in the future.  English | 2022 | ISBN: 9811680159 | 296 pages | pdf, epub | 54.95 MB This book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book focuses on understanding, estimating, predicting, and optimizing mobility patterns. Readers can find multi-source traffic big data processing methods, related statistical analysis models, and practical case applications from this book. |
:
