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Название: Diagnostic Biomedical Signal and Image Processing Applications With Deep Learning Methods
Автор: Kemal Polat, Saban Ozturk
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 303
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods presents comprehensive research on both medical imaging and medical signals analysis. The book discusses classification, segmentation, detection, tracking and retrieval applications of non-invasive methods such as EEG, ECG, EMG, MRI, fMRI, CT and X-RAY, amongst others. These image and signal modalities include real challenges that are the main themes that medical imaging and medical signal processing researchers focus on today. The book also emphasizes removing noise and specifying dataset key properties, with each chapter containing details of one of the medical imaging or medical signal modalities. Deep learning (DL), which has transformed several industries over the past ten years, has astounded practitioners with its amazing performance across nearly all application domains. The following fundamental ideas related to DL can be arranged in order of breadth to depth: (1) the brain-inspired artificial neural network (ANN) algorithm; (2) Machine Learning (ML) methods that allow machines to learn from examples without having to be explicitly programmed; and (3) Artificial Intelligence (AI), a theory that aims to artificially mimic the intelligent behavior of beings found in nature.

Название: Cybersecurity for eHealth: A Simplified Guide to Practical Cybersecurity for Non-technical Stakeholders & Practitioners
Автор: Emmanuel C. Ogu
Издательство: CRC Press
Год: 2022
Страниц: 135
Язык: английский
Формат: pdf (true), epub (true)
Размер: 14.5 MB

The modern realities of cybersecurity have uncovered the unpreparedness of many sectors and industries to deal with emerging threats. One of these sectors is the healthcare industry. The pervasiveness and proliferation of digital innovation, systems, and applications in global healthcare, especially powered by modern information and communications technologies, have created a threat domain wherein policy and regulation struggle to keep pace with development, standardization faces contextual challenges, and technical capacity is largely deficient. It is now urgent that healthcare professionals understand the most relevant concepts and fundamentals of global cybersecurity related to healthcare (particularly eHealth). Cybersecurity for eHealth: A Practical Guide for Non-Technical Healthcare Stakeholders & Practitioners combines a rigorous academic and practical professional approach in covering the essentials of cybersecurity.

Название: Deep Learning in Time Series Analysis
Автор: Arash Gharehbaghi
Издательство: CRC Press
Год: 2023
Страниц: 208
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Deep Learning is an important element of Artificial Intelligence, especially in applications such as image classification in which various architectures of neural network, e.g., convolutional neural networks, have yielded reliable results. This book introduces Deep Learning for time series analysis, particularly for cyclic time series. It elaborates on the methods employed for time series analysis at the deep level of their architectures. Cyclic time series usually have special traits that can be employed for better classification performance. These are addressed in the book. Processing cyclic time series is also covered herein. The book has been designed as a self-learning textbook for the readers with different backgrounds and understanding levels of Machine Learning, including students, engineers, researchers, and scientists of this domain. The numerous informative illustrations presented by the book will lead the readers to a deep level of understanding about the Deep Learning methods for time series analysis.

Название: Computer Vision and Image Analysis for Industry 4.0
Автор: Nazmul Siddique, Mohammad Shamsul Arefin, Atiqur Rahman Ahad
Издательство: CRC Press
Год: 2023
Страниц: 214
Язык: английский
Формат: pdf (true)
Размер: 28.8 MB

Computer vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles in automation and quality assurance. Working environments can be improved significantly if we integrate Computer Vision and image analysis techniques. The more advancement in innovation and research in Computer Vision and image processing, the greater the efficiency of machines as well as humans. A Deep Learning Approach in Detailed Fingerprint Identification: Fingerprints, as one of the most acceptable biometrics, has a significant use for security purposes. In today’s world, fingerprints are utilized in criminal investigations for identification purposes. Fingerprints can be used to identify a person’s gender, hand, finger, and other relevant aspects. The required time and effort in identifying an individual can be reduced by gender, hand, and finger classifications using fingerprints. In this chapter, a very simple model based on Convolutional Neural Networks (CNNs) is proposed to classify fingerprints by gender, hand, and finger. Convolutional Neural Network has achieved significant performance in image classification due to its ability for extraction of prominent features from complex images.

Название: Applied Intelligence for Industry 4.0
Автор: Nazmul Siddique, Mohammad Shamsul Arefin, M. Shamim Kaiser
Издательство: CRC Press
Год: 2023
Страниц: 279
Язык: английский
Формат: pdf (true)
Размер: 24.9 MB

We are all aware that Artificial Intelligence (AI) has brought a change in our lives, driven by a new form of interaction between man and machine. We are in the era of the fourth Industrial Revolution (IR) where AI plays vital roles in human development by enabling extraordinary technological advances making fundamental changes to the way we live, work and relate to one another. It is an opportunity to help everyone, including leaders, policymakers and people from all income groups and nations, to harness converging technologies in order to create an inclusive, human-centered future. Analyzing the IT Job Market and Classifying IT Jobs Using Machine Learning Algorithms: Machine Learning (ML) algorithms are used to classify analogous jobs. Convolutional Networks (CNNs) have been used to establish job classification systems based on job requirement text. Several ML approaches such as Gradient Boosting, Logistic Regression, Gaussian Naive Bayes, Support Vector Machine (SVM), Random Forest, and K-Nearest Neighbors (KNN) have been applied for classifying IT jobs.

Название: PowerShell: A Beginner's Guide to Windows PowerShell
Автор: Roger Wilson
Издательство: Ingram Publishing
Год: 2022
Страниц: 108
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Windows PowerShell is a scripting language and automation engine that is designed using object-oriented concepts with the .NET framework. It provides a Graphical User Interface (GUI) and command line components to manipulate servers and workstations using a scripting language that offers easy syntax. PowerShell works simply by invoking cmdlets and scripts locally or remotely. PowerShell uses the background Intelligent Transfer Service (BITS) to transfer files between machines in an asynchronized and prioritized manner. PowerShell has several advantages, including the ability to execute powerful scripts to accomplish tasks that cannot be executed using a few lines of code. Further, PowerShell variables can hold output from values, commands, and objects, and it is not necessary to specify the type of a particular variable. PowerShell can be used as a scripting language to automate the management of systems and to deploy solutions in continuous integration/continuous delivery (CI/CD) environments. PowerShell scripting language is fully extensible with its classes, modules, scripts, and functions.

Название: Coding & Programming, Tricks and Tips - 14th Edition 2023
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2023
Язык: английский
Формат: pdf
Размер: 36,1 MB

Здесь вы найдете подробные инструкции, советы от экспертов и информацию обо всех последних тенденциях и новинках в мире программирования. Вы узнаете о наиболее эффективных способах использования языков программирования, таких как Python, C++, а также скриптов на Bash для Linux и пакетные BAT файлы для Windows. Вы также найдете многочисленные упражнения для самостоятельной тренировки, которые помогут вам улучшить свои навыки и практиковаться в новых технологиях. Кроме того, в этом издании вы найдете советы по созданию своей собственной программы и шаг за шагом научитесь создавать приложения для своих устройств. Вы также узнаете, как эффективно использовать инструменты разработки и как улучшить производительность своего кода. Независимо от того, какой уровень вы имеете в программировании, наши советы и трюки помогут вам улучшить свои навыки.

Название: Mathematical Foundations of Software Engineering: A Practical Guide to Essentials
Автор: Gerard O'Regan
Издательство: Springer
Серия: Texts in Computer Science
Год: 2023
Страниц: 538
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

The objective of this book is to give the reader a flavour of the mathematical foundations of software engineering. The rich applications of mathematics to software engineering includes its applications to error detection and correcting codes with finite field theory; the field of cryptography which uses the results of number theory; the modelling of telecommunication networks with graph theory; the application of discrete mathematics and proof techniques to the software correctness field (especially safety critical systems using formal methods and model checking); the application of financial mathematics to the banking and insurance fields; and the application of calculus and vectors to traditional engineering applications.

Название: Introduction to Algorithms & Data Structures 2 : A solid foundation for the real world of Machine Learning and data analytics
Автор: Bolakale Aremu
Издательство: Ojula Technology Innovations
Год: April 2023
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Learning algorithms and data structures from this book will help you become a better programmer. Algorithms and data structures will make you think more logically. Furthermore, they can help you design better systems for storing and processing data. They also serve as a tool for optimization and problem-solving. Learning algorithms and data structures from this book will help you become a better programmer. Algorithms and data structures will make you think more logically. Furthermore, they can help you design better systems for storing and processing data. They also serve as a tool for optimization and problem-solving. As a result, the concepts of algorithms and data structures are very valuable in any field. For example, you can use them when building a web app or writing software for other devices. You can apply them to Machine Learning and data analytics, which are two hot areas right now. If you are a hacker, algorithms and data structures in Python are also important for you everywhere.

Название: Digital Image Processing and Analysis: Digital Image Enhancement, Restoration and Compression, 4th Edition
Автор: Scott E Umbaugh
Издательство: CRC Press
Год: 2023
Страниц: 470
Язык: английский
Формат: epub
Размер: 97.4 MB

Digital Image Enhancement, Restoration and Compression focuses on human vision-based imaging application development. Examples include making poor images look better, the development of advanced compression algorithms, special effects imaging for motion pictures and the restoration of satellite images distorted by atmospheric disturbance. This book presents a unique engineering approach to the practice of digital imaging, which starts by presenting a global model to help gain an understanding of the overall process, followed by a breakdown and explanation of each individual topic. The book includes chapters on imaging systems and software, the human visual system, image transforms, image filtering, image enhancement, image restoration, and image compression. Numerous examples, including over 700 color images, are used to illustrate the concepts discussed. Readers can explore their own application development with any programming language, including C/C++, MATLAB, Python and R, and software is provided for both the Windows/C/C++ and MATLAB environments.