State of the Art in Neural Networks and Their Applications: Volume 1


State of the Art in Neural Networks and Their Applications: Volume 1
by Ayman S.El-Baz (Editor), Jasjit S. Suri PhD MBA FIEEE FAMIBE FAIUM FSVM FAPVS (Editor)
Publisher Finelybook 出版社: Academic Press; (August 9, 2021)
Language 语言: English
pages 页数: 324 pages
ISBN-10 书号: 0128197404
ISBN-13 书号: 9780128197400


Book Description
State of the Art in Neural Networks and Their Applications presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. Advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing and suitable data analytics useful for clinical diagnosis and research applications are covered, including relevant case studies. The application of Neural Network, Artificial Intelligence, and Machine Learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases.
State of the Art in Neural Networks and Their Applications is presented in two volumes. Volume 1 covers the state-of-the-art deep learning approaches for the detection of renal, retinal, breast, skin, and dental abnormalities and more.

State of the Art in Neural Networks and Their Applications: Volume 2


State of the Art in Neural Networks and Their Applications: Volume 2
by Jasjit S. Suri PhD MBA FIEEE FAMIBE FAIUM FSVM FAPVS (Editor), Ayman S.El-Baz (Editor)
Publisher Finelybook 出版社: Academic Press; (December 16, 2022)
Language 语言: English
pages 页数: 326 pages
ISBN-10 书号: 0128198729
ISBN-13 书号: 9780128198728


Book Description
State of the Art in Neural Networks and Their Applications, Volume Two presents the latest advances in artificial neural networks and their applications across a wide range of clinical diagnoses. The book provides over views and case studies of advances in the role of machine learning, artificial intelligence, deep learning, cognitive image processing, and suitable data analytics useful for clinical diagnosis and research applications. The application of neural network, artificial intelligence and machine learning methods in biomedical image analysis have resulted in the development of computer-aided diagnostic (CAD) systems that aim towards the automatic early detection of several severe diseases.
State of the Art in Neural Networks and Their Applications is presented in two volumes. Volume One: Neural Networks in Oncology Imaging covers lung cancer, prostate cancer, and bladder cancer. Volume Two: Neural Networks in Brain Disorders and Other Diseases covers autism spectrum disorder, Alzheimer’s disease, attention deficit hyperactivity disorder, hypertension, and other diseases. Written by experienced engineers in the field, these two volumes will help engineers, computer scientists, researchers, and clinicians understand the technology and applications of artificial neural networks.

Advanced Fiber Access Networks


Advanced Fiber Access Networks
by Cedric F. Lam,Shuang Yin,Tao Zhang(Author)
Publisher Finelybook 出版社: ‎Academic Press; (August 25, 2022)
Language 语言: ‎English
pages 页数: ‎298 pages
ISBN-10 书号: ‎0323854990
ISBN-13 书号: ‎9780323854993


Book Description
Advanced Fiber Access Networks takes a holistic view of broadband access networks―from architecture to network technologies and network economies. The book reviews pain points and challenges that broadband service providers face (such as network construction, fiber cable efficiency, transmission challenges, network scalability, etc.) and how these challenges are tackled by new fiber access transmission technologies, protocols and architecture innovations. Chapters cover fiber-to-the-home (FTTH) applications as well as fiber backhauls in other access networks such as 5G wireless and hybrid-fiber-coax (HFC) networks. In addition, it covers the network economy, challenges in fiber network construction and deployment, and more.
Finally, the book examines scaling issues and bottlenecks in an end-to-end broadband network, from Internet backbones to inside customer homes, something rarely covered in books.

Deep Network Design for Medical Image Computing: Principles and Applications


Deep Network Design for Medical Image Computing: Principles and Applications (The MICCAI Society book Series)
by Haofu Liao,S. Kevin Zhou,Jiebo Luo(Author)
Publisher Finelybook 出版社: Academic Press; (September 13, 2022)
Language 语言: English
pages 页数: 264 pages
ISBN-10 书号: 012824383X
ISBN-13 书号: 9780128243831


Book Description
Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and localization, cardiac ultrasound image segmentation, 2D/3D medical image registration for intervention, metal artifact reduction, sparse-view artifact reduction, etc. For each topic, the book provides a deep learning-based solution that takes into account the medical or biological aspect of the problem and how the solution addresses a variety of important questions surrounding architecture, the design of deep learning techniques, when to introduce adversarial learning, and more.
This book will help graduate students and researchers develop a better understanding of the deep learning design principles for MIC and to apply them to their medical problems.

Research Methods for Digital Discourse Analysis


Research Methods for Digital Discourse Analysis (Research Methods in Linguistics) Annotated Edition
by Camilla Vásquez
Publisher Finelybook 出版社: Bloomsbury Academic; Annotated edition (March 10, 2022)
Language 语言: English
pages 页数: 352 pages
ISBN-10 书号: 1350166839
ISBN-13 书号: 9781350166837


Book Description
Introducing the key questions and challenges faced by the researcher of digital discourse, this book provides an overview of the different methodological dimensions associated with this type of research. Bringing together a team of experts, chapters guide students and novice researchers through how to conduct rigorous, accurate, and ethical research with data from a wide range of online platforms, including Facebook, Instagram, Twitter, YouTube, and online dating apps.
Research Methods for Digital Discourse Analysis focuses on the key issues that any digital discourse analyst must consider, before tackling more specific topics and approaches, including how to work with multilingual or multimodal data. Emphasizing concrete, practical advice and illustrated with plentiful examples from research studies, each chapter introduces a new research dimension for consideration, briefly exploring how other discourse analysts have approached the topic before using an in-depth case study to highlight the main challenges and provide guidance on methodological decision-making. Supported by a range of pedagogical tools, including discussion questions and annotated further-reading lists, this book is an essential resource for students and any researcher new to analyzing digital discourse.

Meta-Learning: Theory, Algorithms and Applications


Meta-Learning: Theory, Algorithms and Applications
by Lan Zou (Editor)
Publisher Finelybook 出版社: Academic Press; (November 22, 2022)
Language 语言: English
pages 页数: 402 pages
ISBN-10 书号: 0323899315
ISBN-13 书号: 9780323899314


Book Description
Deep neural networks (DNNs) with their dense and complex algorithms provide real possibilities for Artificial General Intelligence (AGI). Meta-learning with DNNs brings AGI much closer: artificial agents solving intelligent tasks that human beings can achieve, even transcending what they can achieve. Meta-Learning: Theory, Algorithms and Applications shows how meta-learning in combination with DNNs advances towards AGI.
Meta-Learning: Theory, Algorithms and Applications explains the fundamentals of meta-learning by providing answers to these questions: What is meta-learning?; why do we need meta-learning?; how are self-improved meta-learning mechanisms heading for AGI ?; how can we use meta-learning in our approach to specific scenarios? The book presents the background of seven mainstream paradigms: meta-learning, few-shot learning, deep learning, transfer learning, machine learning, probabilistic modeling, and Bayesian inference. It then explains important state-of-the-art mechanisms and their variants for meta-learning, including memory-augmented neural networks, meta-networks, convolutional Siamese neural networks, matching networks, prototypical networks, relation networks, LSTM meta-learning, model-agnostic meta-learning, and the Reptile algorithm.
The book takes a deep dive into nearly 200 state-of-the-art meta-learning algorithms from top tier conferences (e.g. NeurIPS, ICML, CVPR, ACL, ICLR, KDD). It systematically investigates 39 categories of tasks from 11 real-world application fields: Computer Vision, Natural Language Processing, Meta-Reinforcement Learning, Healthcare, Finance and Economy, Construction Materials, Graphic Neural Networks, Program Synthesis, Smart City, Recommended Systems, and Climate Science. Each application field concludes by looking at future trends or by giving a summary of available resources.
Meta-Learning: Theory, Algorithms and Applications is a great resource to understand the principles of meta-learning and to learn state-of-the-art meta-learning algorithms, giving the student, researcher and industry professional the ability to apply meta-learning for various novel applications.

Plant Intelligent Automation and Digital Transformation: Volume I: Process and Factory Automation


Plant Intelligent Automation and Digital Transformation: Volume I: Process and Factory Automation
by Swapan Basu
Publisher Finelybook 出版社: Academic Press; (November 16, 2022)
Language 语言: English
pages 页数: 568 pages
ISBN-10 书号: 0323902464
ISBN-13 书号: 9780323902465


Book Description
Plant Intelligent Automation and Digital Transformation: Process and Factory Automation is an expansive four volume collection reviewing every major aspect of the intelligent automation and digital transformation of power, process and manufacturing plants, from the specific control and automation systems pertinent to various power process plants through manufacturing and factory automation systems. This volume introduces the foundations of automation control theory, networking practices and communication for power, process and manufacturing plants considered as integrated digital systems. In addition, it discusses Distributed control System (DCS) for Closed loop controls system (CLCS) and PLC based systems for Open loop control systems (OLCS) and factory automation.
This book provides in-depth guidance on functional and design details pertinent to each of the control types referenced above, along with the installation and commissioning of control systems.

Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems


Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems
by Parvathaneni Naga Srinivasu,Norita Md Norwawi, Sheng Lung Peng, Azuraliza Abu Bakar (Editor)
Publisher Finelybook 出版社: Bentham Science Publishers (October 5, 2022)
Language 语言: English
pages 页数: 224 pages
ISBN-10 书号: 1681089572
ISBN-13 书号: 9781681089577


Book Description
Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems explains the emerging technology that currently drives computer-aided diagnosis, medical analysis and other electronic healthcare systems. 11 book chapters cover advances in biomedical engineering fields achieved through deep learning and soft-computing techniques. Readers are given a fresh perspective of how intelligent systems impact patient outcomes for healthcare professionals who are assisted by advanced computing algorithms.

Key Features:
- Covers emerging technologies in biomedical engineering and healthcare that assist physicians in diagnosis, treatment, and surgical planning in a multidisciplinary context
- Provides examples of technical use cases for artificial intelligence, machine learning and deep learning in medicine, with examples of different algorithms
- Introduces readers to the concept of telemedicine and electronic healthcare systems
- Provides implementations of disease prediction models for different diseases including cardiovascular diseases, diabetes and Alzheimer’s disease
- Summarizes key information for learners
- Includes references for advanced readers
The book serves as an essential reference for academic readers, as well as computer science enthusiasts who want to familiarize themselves with the practical computing techniques in the field of biomedical engineering (with a focus on medical imaging) and medical informatics.

Data Analytics for Social Microblogging Platforms


Data Analytics for Social Microblogging Platforms (Hybrid Computational Intelligence for Pattern Analysis and Understanding)
by Soumi Dutta,Asit Kumar Das,Saptarshi Ghosh,Debabrata Samanta
Publisher Finelybook 出版社: Academic Press; (November 23, 2022)
Language 语言: English
pages 页数: 328 pages
ISBN-10 书号: 0323917852
ISBN-13 书号: 9780323917858


Book Description
Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing. The book investigates a range of significant computational techniques which enable data and computer scientists to recognize patterns in these vast datasets, including machine learning, data mining algorithms, rough set and fuzzy set theory, evolutionary computations, combinatorial pattern matching, clustering, summarization and classification. Chapters focus on basic online micro blogging data analysis research methodologies, community detection, summarization application development, performance evaluation and their applications in big data.

Basics of Python Programming: Embrace the Future of Python


Basics of Python Programming: Embrace the Future of Python (English Edition)
by Dr. Pratiyush Guleria
Publisher Finelybook 出版社: BPB Publications (March 17, 2020)
Language 语言: English
pages 页数: 96 pages
ISBN-10 书号: 9388511808
ISBN-13 书号: 9789388511803


Book Description
Learn a Programmer-Friendly language

Key Features
Strengthens the foundations, as a detailed explanation of programming language concepts are given in a simple manner
Lists down all the important points that you need to know related to various topics in an organized manner
Prepares you for coding related interview and theoretical questions
Provides an in-depth explanation of complex topics and Questions
It focuses on how to think logically to solve a problem
Follows a systematic approach that will help you to prepare for an interview in a short duration of time
Exercises are exceptionally useful to complete the reader’s understanding of a topic
Description
Book will come as a relief to the students wishing to go through a comprehensive work explaining the programming concepts of Python. Examples are given with proper description, offering a variety of practical examples and conceptual problems along with their systematically worked out solutions. It also covers all the concepts which are helpful for the students and beginners to learn the basics of Python programming.
What will you learn
This book is written, taking into consideration the skills required at the beginner level for understanding Python Programming Concepts. The book covers the practical examples of Python in an easy way so that students can able to understand efficiently.

Who this book is for
Book promises to be a perfect starting point for beginners and an asset for those having insight towards programming.

Table of contents
1. Introduction
2. Conditions and Loops
3. Arrays and Functions
4. Lists, Tuples, Iterators and GeneratorsDictionaries and Modules
5. File Handling and Databases
6. Object-Oriented Programming
7. Regular Expressions, Date, and Time
8. Exception Handling
9. Practice Exercise

About the Author
Dr. Pratiyush Guleria has done M.Tech in Computer Science with a gold medal form Himachal Pradesh University, Shimla, India. He has received his MBA Degree in Operation Research from Indira Gandhi National Open University (IGNOU). He has a consistent track of record in academics throughout his career. He has qualified SLET (State Level Eligibility Test) and has more than nine years of Experience in IT industry and Academics. He us a member of the technical program committee and reviewer for journals and international conferences. His research interest includes Data mining, Machine learning, and web technologies. He is the recipient of the “Young Scientist Award” for the best paper presentation in one of the International Conferences.