Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Proceedings of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022)
This book highlights the recent research on soft computing, pattern recognition, nature-inspired computing, and their various practical applications. It presents 69 selected papers from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022) and 19 papers from the 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2022), which was held online, from December 14 to 16, 2022. A premier conference in the field of soft computing, artificial intelligence, and machine learning applications, SoCPaR-NaBIC 2022 brought together researchers, engineers, and practitioners whose work involves intelligent systems, network security, and their applications in industry. Including contributions by authors from over 25 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.
Buku Ajar Pengolahan Citra Digital
Pengenalan Citra Digital adalah materi yang membahas tentang gambar yang direpresentasikan dalam format digital, dimana gambar terdiri kumpul piksel dengan nilai numerik yang menunjukkan intensitas dan warna. Pengolahan citra digital telah menjadi salah satu bidang yang penting di era informasi saat ini, dengan aplikasinya yang luas mulai dari medis, pengawasan keamanan, otomotif, hinga forensik. Buku ini dirancang untuk memberikan pemahaman yang komprehensif tentang konsep-konsep dasar, metode-metode dasar dan lanjutan, serta aplikasi praktis pengolahan citra digital.
Advanced Image Processing in Magnetic Resonance Imaging
The popularity of magnetic resonance (MR) imaging in medicine is no mystery: it is non-invasive, it produces high quality structural and functional image data, and it is very versatile and flexible. Research into MR technology is advancing at a blistering pace, and modern engineers must keep up with the latest developments. This is only possible with a firm grounding in the basic principles of MR, and Advanced Image Processing in Magnetic Resonance Imaging solidly integrates this foundational knowledge with the latest advances in the field. Beginning with the basics of signal and image generation and reconstruction, the book covers in detail the signal processing techniques and algorithms, f...
Radical Solutions and eLearning
Educational Technology is the right couple to a radical innovation. Thanks to the appropriate technology in the right context with the best fit to the target audience, education can be drastically improved, meaning a better performance, competence achievement, match with the user’s expectations and with the market needs. Serious games, Virtual reality, Augmented reality, Remote labs, Online learning, Blockchain, Mobile learning and many other key technologies allow for a better explanation of so many subjects, and even more: for a complete student involvement and a full teacher engagement into the educational system. Technology gives another angle to the same content, provides the user with a personalised experience and pushes the limits of knowledge a little further, every time. This book presents a number of radical innovations through technology, from experienced cases studies, to be replicated and inspired by; a powerful resource handbook for cutting-edge education.
Data Mining and Learning Analytics
Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles— prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Bus...
Meyler's Side Effects of Herbal Medicines
"This book summarizes the adverse effects of a large range of herbal medicines and the active ingredients that they contain. It includes extensive lists of the families of plants that are used as herbal medicines, including the Latin names of genera and species as well as the common names of individual plants. The material is drawn from the 15th edition of the internationally renowned encyclopedia, Meyler's Side Effects of Drugs: The Encyclopedia of Adverse Drug Reactions and Interactions, and the latest volumes in the companion series, Side Effects of Drugs Annuals."--BOOK JACKET.
Handbook of Inter-Rater Reliability, 4th Edition
The third edition of this book was very well received by researchers working in many different fields of research. The use of that text also gave these researchers the opportunity to raise questions, and express additional needs for materials on techniques poorly covered in the literature. For example, when designing an inter-rater reliability study, many researchers wanted to know how to determine the optimal number of raters and the optimal number of subjects that should participate in the experiment. Also, very little space in the literature has been devoted to the notion of intra-rater reliability, particularly for quantitative measurements. The fourth edition of this text addresses thos...
Metaheuristics in Machine Learning: Theory and Applications
This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.
