Welcome to our book review site www.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.
Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond
This book is the fifth volume in the series of Collected Papers on Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond. This volume specifically delves into the concept of Various SuperHyperConcepts, building on the foundational advancements introduced in previous volumes. The series aims to explore the ongoing evolution of uncertain combinatorics through innovative methodologies such as graphization, hyperization, and uncertainization. These approaches integrate and extend core concepts from fuzzy, neutrosophic, soft, and rough set theories, providing robust frameworks to model and analyze the inherent comp...
Image Processing and Intelligent Computing Systems
There is presently a drastic growth in multimedia data. During the Covid-19 pandemic, we observed that images helped doctors immensely in the rapid detection of Covid-19 infection in patients. There are many critical applications in which images play a vital role. These applications use raw image data to extract some useful information about the world around us. The quick extraction of valuable information from raw images is one challenge that academicians and professionals face in the present day. This is where image processing comes into action. Image processing’s primary purpose is to get an enhanced image or extract some useful information from raw image data. Therefore, there is a maj...
Modeling a New Computer Framework for Managing Healthcare Organizations
The medical sector has been growing exponentially over the last decade and healthcare services are becoming more complex and costly. In order to continue efficiently and effectively managing patient safety, quality, and the effectiveness of the healthcare systems, new methodologies are needed. This book provides a platform to address this growing need and to improve practice. With the introduction of a new computer platform package for the management of medical organizations and healthcare systems, Modeling a New Computer Framework for Managing Healthcare Organizations aims to improve management techniques and increase overall satisfaction scores of patients, owners, and medical resources. T...
Proceedings of the 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022)
This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. These endeavors have made new contribution to globalization and creating a community of shared future. 2022 International Conference on Educational Innovation and Multimedia Technology (EIMT 2022) was held on March 25-27, 2022 in Hangzhou, China (Due to the epidemic, the meeting was moved to online). The aim of the conference is to bring together innovative academics and industrial experts in the field of Educational Innovation and Multimedia Technology to a common forum. The primary goal of the conference is to promote research and developmental activities in the related field.
Smart Agriculture for Sustainable Practices
This book offers insights into how modern technologies are transforming agriculture with a focus on their effects in aiding sustainability. It explores the current applications of technologies such as AI, IoT, and machine learning, and their impact on improving crop yield, resource efficiency, and environmental impact. Through practical examples and case studies, it demonstrates how these technologies can address challenges in agriculture and enhance operational efficiency. Key Features: Analysis of how IoT devices and sensor networks are used for real-time monitoring of farm operations, soil conditions, and weather patterns. Studies emerging technologies like machine vision, predictive mode...
Mathematical Formulas for Industrial and Mechanical Engineering
Mathematical Formulas For Industrial and Mechanical Engineering serves the needs of students and teachers as well as professional workers in engineering who use mathematics. The contents and size make it especially convenient and portable. The widespread availability and low price of scientific calculators have greatly reduced the need for many numerical tables that make most handbooks bulky. However, most calculators do not give integrals, derivatives, series and other mathematical formulas and figures that are often needed. Accordingly, this book contains that information in an easy way to access in addition to illustrative examples that make formulas clearer. Students and professionals alike will find this book a valuable supplement to standard textbooks, a source for review, and a handy reference for many years. - Covers mathematics formulas needed for Industrial and Mechanical Engineering - Quick and easy to use reference and study - Includes practical examples and figures to help quickly understand concepts
Diagnostics and Prognostics of Engineering Systems: Methods and Techniques
Industrial Prognostics predicts an industrial system’s lifespan using probability measurements to determine the way a machine operates. Prognostics are essential in determining being able to predict and stop failures before they occur. Therefore the development of dependable prognostic procedures for engineering systems is important to increase the system’s performance and reliability. Diagnostics and Prognostics of Engineering Systems: Methods and Techniques provides widespread coverage and discussions on the methods and techniques of diagnosis and prognosis systems. Including practical examples to display the method’s effectiveness in real-world applications as well as the latest trends and research, this reference source aims to introduce fundamental theory and practice for system diagnosis and prognosis.
Basic Mathematics for Engineering
This is a textbook for Basic Mathematics course for science and engineering students. The book chapters include summary of the concepts then unsolved problemsd follow by homework and real-world project.
Data Science in the Medical Field
Data science has the potential to influence and improve fundamental services such as the healthcare sector. This book recognizes this fact by analyzing the potential uses of data science in healthcare. Every human body produces 2 TB of data each day. This information covers brain activity, stress level, heart rate, blood sugar level, and many other things. More sophisticated technology, such as data science, allows clinicians and researchers to handle such a massive volume of data to track the health of patients. The book focuses on the potential and the tools of data science to identify the signs of illness at an extremely early stage. - Shows how improving automated analytical techniques can be used to generate new information from data for healthcare applications - Combines a number of related fields, with a particular emphasis on machine learning, big data analytics, statistics, pattern recognition, computer vision, and semantic web technologies - Provides information on the cutting-edge data science tools required to accelerate innovation for healthcare organizations and patients by reading this book
Stochastic Methods for Estimation and Problem Solving in Engineering
Utilizing mathematical algorithms is an important aspect of recreating real-world problems in order to make important decisions. By generating a randomized algorithm that produces statistical patterns, it becomes easier to find solutions to countless situations. Stochastic Methods for Estimation and Problem Solving in Engineering provides emerging research on the role of random probability systems in mathematical models used in various fields of research. While highlighting topics, such as random probability distribution, linear systems, and transport profiling, this book explores the use and behavior of uncertain probability methods in business and science. This book is an important resource for engineers, researchers, students, professionals, and practitioners seeking current research on the challenges and opportunities of non-deterministic probability models.
