Название: Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
Автор: Ramchandra S. Mangrulkar, Antonis Michalas, Narendra M. Shekokar, Meera Narvekar, Pallavi V. Chavan
Издательство: CRC Press
Год: 2021
Формат: PDF
Страниц: 447
Размер: 21,7 Mb
Язык: English

Machine learning (ML) and deep learning (DL) algorithms are invaluable resources for Industry 4.0 and allied areas and are considered as the future of computing. A subfield called neural networks, to recognize and understand patterns in data, helps a machine carry out tasks in a manner similar to humans. The intelligent models developed using ML and DL are effectively designed and are fully investigated – bringing in practical applications in many fields such as health care, agriculture and security. These algorithms can only be successfully applied in the context of data computing and analysis. Today, ML and DL have created conditions for potential developments in detection and prediction.

Название: Android Malware Detection using Machine Learning
Автор:
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 212
Размер: 134 Mb
Язык: English

The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) the portability over different platforms and architectures.

Название: Applications of Artificial Intelligence in Process Systems Engineering
Автор: Jingzheng Ren, Weifeng Shen, Yi Man
Издательство: Elsevier
Год: 2021
Страниц: 542
Язык: английский
Формат: pdf (true)
Размер: 53.8 MB

Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, Big Data, the industrial Internet of Things and Deep Learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases.

Название: Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics
Автор: Pradeep N., Sandeep Kautish, Sheng-Lung Peng
Издательство: Academic Press, Elsevier
Год: 2021
Страниц: 374
Язык: английский
Формат: pdf (true)
Размер: 43.6 MB

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers Big Data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of Deep Learning (DL) and Machine Learning (ML), and provides an outlook on future directions of research and development.

Название: Artificial Intelligence and Internet of Things: Applications in Smart Healthcare
Автор: Lalit Mohan Goyal, Tanzila Saba, Amjad Rehman
Издательство: CRC Press
Год: 2021
Страниц: 406
Язык: английский
Формат: pdf (true)
Размер: 16.9 MB

This book reveals the applications of AI and IoT in smart healthcare and medical systems. It provides core principles, algorithms, protocols, emerging trends, security problems, and the latest e-healthcare services findings. The book also provides case studies and discusses how AI and IoT applications such as wireless devices, sensors, and Deep Learning (DL) could play a major role in assisting patients, doctors, and pharmaceutical staff. Cutting-edge AI subjects such as Deep Learning, reinforcement learning, architecture design security and privacy issues of IoT, and remote-health-monitoring systems are thoroughly presented.

Название: Doing Meta-Analysis with R: A Hands-On Guide
Автор: Mathias Harrer, Pim Cuijpers, Toshi A. Furukawa
Издательство: CRC Press
Год: 2021
Страниц: 501
Язык: английский
Формат: pdf (true)
Размер: 51.0 MB

Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide.

Название: Handbook of Deep Learning in Biomedical Engineering and Health Informatics
Автор: E. Golden Julie, Y. Harold Robinson, S.M. Jaisakthi
Издательство: Apple Academic Press, CRC Press
Год: 2022
Страниц: 345
Язык: английский
Формат: pdf (true)
Размер: 41.1 MB

This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics. Deep Learning in the biomedical field is an effective method of collecting and analyzing data that can be used for the accurate diagnosis of disease. This volume delves into a variety of applications, techniques, algorithms, platforms, and tools used in this area, such as image segmentation, classification, registration, and computer-aided analysis. The editors proceed on the principle that accurate diagnosis of disease depends on image acquisition and interpretation. There are many methods to get high resolution radiological images, but we are still lacking in automated image interpretation. Currently deep learning techniques are providing a feasible solution for automatic diagnosis of disease with good accuracy.

Название: Hands-On Quantum Machine Learning With Python: Volume 1: Get Started
Автор: Dr. Frank Zickert
Издательство: PyQML, Leanpub
Год: 2021-05-19 (Release 1.0)
Страниц: 435
Язык: английский
Формат: pdf (true)
Размер: 10.17 MB

Hands-On Quantum Machine Learning With Python is your comprehensive guide to get started with Quantum Machine Learning - the use of quantum computing for computation of machine learning algorithms. Hands-On Quantum Machine Learning With Python. You're interested in quantum computing and machine learning... ...But you don't know how to get started? Let me help! Whether you just get started with quantum computing and machine learning or you're already a senior machine learning engineer, Hands-On Quantum Machine Learning With Python is your comprehensive guide to get started with Quantum Machine Learning - the use of quantum computing for the computation of machine learning algorithms.

Название: Consistent Distributed Storage
Автор: Vincent Gramoli, Nicolas Nicolaou, Alexander A. Schwarzmann
Издательство: Morgan & Claypool
Год: 2021
Страниц: 194
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Providing a shared memory abstraction in distributed systems is a powerful tool that can simplify the design and implementation of software systems for networked platforms. This enables the system designers to work with abstract readable and writable objects without the need to deal with the complexity and dynamism of the underlying platform. The key property of shared memory implementations is the consistency guarantee that it provides under concurrent access to the shared objects. The most intuitive memory consistency model is atomicity because of its equivalence with a memory system where accesses occur serially, one at a time. Emulations of shared atomic memory in distributed systems is an active area of research and development.

Название: Learning Drupal 9 as a framework : Your guide to custom drupal. Full project code included
Автор: Stef Van Looveren
Издательство: Leanpub
Год: 2021
Формат: PDF,ePUB
Страниц: 235
Размер: 15 Mb
Язык: English

This course is focused on development and will teach you advanced concepts of drupal 9, Object-oriented PHP, and Symfony components. After the course, you’ll be able to build robust and scalable software solutions of many kinds. Description
235 pages of expert guidance through the drupal 9 system
+2400 lines of ready-to-use code snippets, full project code included
Learn advanced concepts of drupal, symfony and object oriented PHP
Build a real platform, not just separate tutorials
Experienced coder from another framework? This guide will suit you
This course will teach you advanced concepts of drupal 9, Object-oriented PHP and Symfony components. After the course, you’ll be able to build robust and scalable software solutions of many kinds.