Computational Intelligence In Machine Learning

Author : Priti Srinivas Sajja
Publisher : Springer Nature
Page : 225 pages
File Size : 55,8 Mb
Release : 2020-11-16
Category : Technology & Engineering
ISBN : 9789811595899

Get Book

Illustrated Computational Intelligence by Priti Srinivas Sajja Pdf

This book presents a summary of artificial intelligence and machine learning techniques in its first two chapters. The remaining chapters of the book provide everything one must know about the basic artificial intelligence to modern machine intelligence techniques including the hybrid computational intelligence technique, using the concepts of several real-life solved examples, design of projects and research ideas. The solved examples with more than 200 illustrations presented in the book are a great help to instructors, students, non–AI professionals, and researchers. Each example is discussed in detail with encoding, normalization, architecture, detailed design, process flow, and sample input/output. Summary of the fundamental concepts with solved examples is a unique combination and highlight of this book.

Author : Stanley Cohen
Publisher : Elsevier Health Sciences
Page : 290 pages
File Size : 46,8 Mb
Release : 2020-06-02
Category : Medical
ISBN : 9780323675376

Get Book

Artificial Intelligence and Deep Learning in Pathology by Stanley Cohen Pdf

Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience. Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. Discusses and explains recent accomplishments such as algorithms used to diagnose skin cancer from photographs, AI-based platforms developed to identify lesions of the retina, using computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many more.

Author : Amit Kumar,Jacek M. Zurada,Vinit Kumar Gunjan,Raman Balasubramanian
Publisher : Springer Nature
Page : 512 pages
File Size : 52,5 Mb
Release : 2022-03-03
Category : Technology & Engineering
ISBN : 9789811684845

Get Book

Computational Intelligence in Machine Learning by Amit Kumar,Jacek M. Zurada,Vinit Kumar Gunjan,Raman Balasubramanian Pdf

The book includes select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2021). The book constitutes peer-reviewed papers on machine learning, computational intelligence, the internet of things, and smart city applications emphasizing multi-disciplinary research in artificial intelligence and cyber-physical systems. This book addresses the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. The book will be useful for researchers, research scholars, and students to formulate their research ideas and find future directions in these areas. It will help the readers to solve a diverse range of problems in industries and their real-world applications.

Author : Fadi Al-Turjman
Publisher : Springer Nature
Page : 266 pages
File Size : 47,8 Mb
Release : 2021-02-19
Category : Technology & Engineering
ISBN : 9783030601881

Get Book

Artificial Intelligence and Machine Learning for COVID-19 by Fadi Al-Turjman Pdf

This book is dedicated to addressing the major challenges in fighting COVID-19 using artificial intelligence (AI) and machine learning (ML) – from cost and complexity to availability and accuracy. The aim of this book is to focus on both the design and implementation of AI-based approaches in proposed COVID-19 solutions that are enabled and supported by sensor networks, cloud computing, and 5G and beyond. This book presents research that contributes to the application of ML techniques to the problem of computer communication-assisted diagnosis of COVID-19 and similar diseases. The authors present the latest theoretical developments, real-world applications, and future perspectives on this topic. This book brings together a broad multidisciplinary community, aiming to integrate ideas, theories, models, and techniques from across different disciplines on intelligent solutions/systems, and to inform how cognitive systems in Next Generation Networks (NGN) should be designed, developed, and evaluated while exchanging and processing critical health information. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies.

Author : Jyotsna Kumar Mandal,Imon Mukherjee,Sambit Bakshi,Sanjay Chatterji,Pankaj K. Sa
Publisher : Springer Nature
Page : 201 pages
File Size : 53,8 Mb
Release : 2020-11-24
Category : Technology & Engineering
ISBN : 9789811586101

Get Book

Computational Intelligence and Machine Learning by Jyotsna Kumar Mandal,Imon Mukherjee,Sambit Bakshi,Sanjay Chatterji,Pankaj K. Sa Pdf

This book focuses on both theory and applications in the broad areas of computational intelligence and machine learning. The proceedings of the Seventh International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2019) present research papers in the areas of advanced computing, networking, and informatics. It brings together contributions from scientists, professors, scholars, and students and presents essential information on the topic. It also discusses the practical challenges encountered and the solutions used to overcome them, the goal being to promote the “translation” of basic research into applied research and of applied research into practice. The works presented here also demonstrate the importance of basic scientific research in a range of fields.

Author : Srikanta Patnaik,Xin-She Yang,Ishwar K. Sethi
Publisher : Springer Nature
Page : 853 pages
File Size : 54,9 Mb
Release : 2020-07-25
Category : Technology & Engineering
ISBN : 9789811552434

Get Book

Advances in Machine Learning and Computational Intelligence by Srikanta Patnaik,Xin-She Yang,Ishwar K. Sethi Pdf

This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence (ICMLCI-2019), jointly organized by Kunming University of Science and Technology and the Interscience Research Network, Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually all aspects of intelligent systems, soft computing and machine learning, the topics covered include: prediction; data mining; information retrieval; game playing; robotics; learning methods; pattern visualization; automated knowledge acquisition; fuzzy, stochastic and probabilistic computing; neural computing; big data; social networks and applications of soft computing in various areas.

Author : Rajshree Srivastava,Pradeep Kumar Mallick,Siddharth Swarup Rautaray,Manjusha Pandey
Publisher : Walter de Gruyter GmbH & Co KG
Page : 414 pages
File Size : 48,8 Mb
Release : 2020-06-22
Category : Computers
ISBN : 9783110649277

Get Book

Computational Intelligence for Machine Learning and Healthcare Informatics by Rajshree Srivastava,Pradeep Kumar Mallick,Siddharth Swarup Rautaray,Manjusha Pandey Pdf

This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a unique compendium of current and emerging machine learning paradigms for healthcare informatics, reflecting the diversity, complexity, and depth and breadth of this multi-disciplinary area.

Author : KC Santosh,Loveleen Gaur
Publisher : Springer Nature
Page : 93 pages
File Size : 41,8 Mb
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 9789811667688

Get Book

Artificial Intelligence and Machine Learning in Public Healthcare by KC Santosh,Loveleen Gaur Pdf

This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example—a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions.

Author : E. S. Gopi
Publisher : Springer Nature
Page : 643 pages
File Size : 55,9 Mb
Release : 2021-05-28
Category : Technology & Engineering
ISBN : 9789811602894

Get Book

Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication by E. S. Gopi Pdf

This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine Learning, Deep learning and Computational intelligence algorithms (b)Wireless communication systems and (c) Mobile data applications and are included in the book. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry.

Author : Andreas Holzinger,Randy Goebel,Michael Mengel,Heimo Müller
Publisher : Springer Nature
Page : 351 pages
File Size : 41,7 Mb
Release : 2020-06-24
Category : Computers
ISBN : 9783030504021

Get Book

Artificial Intelligence and Machine Learning for Digital Pathology by Andreas Holzinger,Randy Goebel,Michael Mengel,Heimo Müller Pdf

Data driven Artificial Intelligence (AI) and Machine Learning (ML) in digital pathology, radiology, and dermatology is very promising. In specific cases, for example, Deep Learning (DL), even exceeding human performance. However, in the context of medicine it is important for a human expert to verify the outcome. Consequently, there is a need for transparency and re-traceability of state-of-the-art solutions to make them usable for ethical responsible medical decision support. Moreover, big data is required for training, covering a wide spectrum of a variety of human diseases in different organ systems. These data sets must meet top-quality and regulatory criteria and must be well annotated for ML at patient-, sample-, and image-level. Here biobanks play a central and future role in providing large collections of high-quality, well-annotated samples and data. The main challenges are finding biobanks containing ‘‘fit-for-purpose’’ samples, providing quality related meta-data, gaining access to standardized medical data and annotations, and mass scanning of whole slides including efficient data management solutions.

Author : K. Gayathri Devi,Mamata Rath,Nguyen Thi Dieu Linh
Publisher : CRC Press
Page : 255 pages
File Size : 54,6 Mb
Release : 2020-10-08
Category : Computers
ISBN : 9781000179538

Get Book

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches by K. Gayathri Devi,Mamata Rath,Nguyen Thi Dieu Linh Pdf

Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems. The book focuses on concepts and techniques used to run tasks in an automated manner. It discusses computational intelligence in the detection and diagnosis of clinical and biomedical images, covers the automation of a system through machine learning and deep learning approaches, presents data analytics and mining for decision-support applications, and includes case-based reasoning, natural language processing, computer vision, and AI approaches in real-time applications. Academic scientists, researchers, and students in the various domains of computer science engineering, electronics and communication engineering, and information technology, as well as industrial engineers, biomedical engineers, and management, will find this book useful. By the end of this book, you will understand the fundamentals of AI. Various case studies will develop your adaptive thinking to solve real-time AI problems. Features Includes AI-based decision-making approaches Discusses computational intelligence in the detection and diagnosis of clinical and biomedical images Covers automation of systems through machine learning and deep learning approaches and its implications to the real world Presents data analytics and mining for decision-support applications Offers case-based reasoning

Author : Rajshree Srivastava,Pradeep Kumar Mallick,Siddharth Swarup Rautaray,Manjusha Pandey
Publisher : Walter de Gruyter GmbH & Co KG
Page : 414 pages
File Size : 53,8 Mb
Release : 2020-06-22
Category : Computers
ISBN : 9783110649277

Get Book

Computational Intelligence for Machine Learning and Healthcare Informatics by Rajshree Srivastava,Pradeep Kumar Mallick,Siddharth Swarup Rautaray,Manjusha Pandey Pdf

This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a unique compendium of current and emerging machine learning paradigms for healthcare informatics, reflecting the diversity, complexity, and depth and breadth of this multi-disciplinary area.

Author : Mariya Ouaissa,Zakaria Boulouard,Mariyam Ouaissa,Bassma Guermah
Publisher : Springer Nature
Page : 279 pages
File Size : 43,5 Mb
Release : 2022-02-21
Category : Technology & Engineering
ISBN : 9783030771850

Get Book

Computational Intelligence in Recent Communication Networks by Mariya Ouaissa,Zakaria Boulouard,Mariyam Ouaissa,Bassma Guermah Pdf

This book focuses on the use of Artificial Intelligence and Machine Learning (AI/ML) based techniques to solve issues related to communication networks, their layers, as well as their applications. The book first offers an introduction to recent trends regarding communication networks. The authors then provide an overview of theoretical concepts of AI/ML, techniques and protocols used in different layers of communication. Furthermore, this book presents solutions that help analyze complex patterns in user data and ultimately improve productivity. Throughout, AI/ML-based solutions are provided, for topics such as signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The book features chapters from a large spectrum of authors including researchers, students, as well as industrials involved in research and development.

Author : Tero Tuovinen,Jacques Periaux,Pekka Neittaanmäki
Publisher : Springer Nature
Page : 278 pages
File Size : 43,8 Mb
Release : 2021-08-19
Category : Technology & Engineering
ISBN : 9783030707873

Get Book

Computational Sciences and Artificial Intelligence in Industry by Tero Tuovinen,Jacques Periaux,Pekka Neittaanmäki Pdf

This book is addressed to young researchers and engineers in the fields of Computational Science and Artificial Intelligence, ranging from innovative computational methods to digital machine learning tools and their coupling used for solving challenging industrial and societal problems.This book provides the latest knowledge from jointly academic and industries experts in Computational Science and Artificial Intelligence fields for exploring possibilities and identifying challenges of applying Computational Sciences and AI methods and tools in industrial and societal sectors.

Author : John Anderson,E. R. Bareiss,Ryszard Stanisław Michalski
Publisher : Unknown
Page : 128 pages
File Size : 55,8 Mb
Release : 19??
Category : Electronic
ISBN : OCLC:632850500

Get Book

Proceedings of the international conference on Machine Learning by John Anderson,E. R. Bareiss,Ryszard Stanisław Michalski Pdf