Academic Press

Introduction to Nature-Inspired Optimization
by 作者: George Lindfield and John Penny
Publisher Finelybook 出版社: Academic Press; (August 26,2017)
Language 语言: English
Pages 页数: 256 pages
ISBN-10 书号: 0128036362
ISBN-13 书号: 9780128036365

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Book Description
Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that have their origins in the way various species behave in order to optimize their chances of survival. The book describes each method,examines their strengths and weaknesses,and where appropriate,provides the MATLAB code to give practical insight into the detailed structure of these methods and how they work.
Nature-inspired algorithms emulate processes that are found in the natural world,spurring interest for optimization. Lindfield/Penny provide concise coverage to all the major algorithms,including genetic algorithms,artificial bee colony algorithms,ant colony optimization and the cuckoo search algorithm,among others. This book provides a quick reference to practicing engineers,researchers and graduate students who work in the field of optimization.
Table of Contents
Copyright
Dedication

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About the Authors
Preface
Acknowlednent
Notation
Chapter 1: An Introduction to Optimization
Chapter 2: Evolutionary Algorithns
Chapter 3: Particle Swarm Optimization Al gorithms
Chapter 4: The Cuckoo Search Algorithn
Chapter 5: The Firefly Algorithm
Chapter 6: Bacterial Foraging Inspired Al gorithm
Chapter 7: Artificial Bee and Ant Colony Optimization
Chapter 8: Physics Inspired Optimization Algorithns
Chapter 9: Integer,Constrained and Multi-Objective Optimization
Chapter 10: Recent Developments and Comparative Studies
Appendix A: Test Functions
Appendix B: Program Listings
Solutions to Problems
References
Index

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Natural Language Processing: Concepts,Methodologies,Tools,and Applications
by 作者: Information Resources Management Association
Information Resources Management Association
Published: 2019
Publisher Finelybook 出版社: IGI Global
ISBN-13 书号: 9781799809517
ISBN-10 书号: 179980951X

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Book Description
As technology continues to become more sophisticated,a computers ability to understand,interpret,and manipulate natural language is also accelerating. Persistent research in the field of natural language processing enables an understanding of the world around us,in addition to opportunities for manmade computing to mirror natural language processes that have existed for centuries.
Natural Language Processing: Concepts,Methodologies,Tools,and Applications is a vital reference source on the latest concepts,processes,and techniques for communication between computers and humans. Highlighting a range of topics such as machine learning,computational linguistics,and semantic analysis,this multi-volume book is ideally designed for computer engineers,computer and software developers,IT professionals,academicians,researchers,and upper-level students seeking current research on the latest trends in the field of natural language processing

Machine Learning for Biomedical Applications: With Scikit-Learn and PyTorch
by 作者: Maria Deprez (Author), Emma C. Robinson (Author)
Publisher Finelybook 出版社: ‎Academic Press; (September 27, 2023)
Language 语言: ‎English
Pages 页数: ‎304 pages
ISBN-10 书号: ‎0128229047
ISBN-13 书号: ‎9780128229040

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Book Description
Machine Learning for Biomedical Applications: With Scikit-Learn and PyTorch presents machine learning techniques most commonly used in a biomedical setting. Avoiding a theoretical perspective, it provides a practical and interactive way of learning where concepts are presented in short descriptions followed by simple examples using biomedical data. Interactive Python notebooks are provided with each chapter to complement the text and aid understanding. Sections cover uses in biomedical applications, practical Python coding skills, mathematical tools that underpin the field, core machine learning methods, deep learning concepts with examples in Keras, and much more.
This accessible and interactive introduction to machine learning and data analysis skills is suitable for undergraduates and postgraduates in biomedical engineering, computer science, the biomedical sciences and clinicians.
Gives a basic understanding of the most fundamental concepts within machine learning and their role in biomedical data analysis.
Shows how to apply a range of commonly used machine learning and deep learning techniques to biomedical problems.
Develops practical computational skills needed to implement machine learning and deep learning models for biomedical data sets.
Shows how to design machine learning experiments that address specific problems related to biomedical data
Review
An easy to understand, interactive learning resources that presents machine and deep learning methods as applied to biomedical engineering

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From the Back Cover
Machine Learning for Biomedical Applications: With Scikit-Learn and PyTorch presents machine learning techniques most commonly used in a biomedical setting. Avoiding a theoretical perspective, it provides a practical and interactive way of learning, where concepts are presented in short descriptions followed by solving simple examples using biomedical data. Interactive Python notebooks are provided with each chapter to complement the text and aid understanding.
The book is divided into four Parts: A general background to machine learning techniques and their use in biomedical applications, practical Python coding skills, and mathematical tool that underpin the field; core machine learning methods; Deep learning concepts with examples in Keras. ; tricks of the trade where guidance is given on best practice for data preparation and experimental design to aid the successful application of machine learning methods to real world biomedical data.
This accessible and interactive introduction to machine learning and data analysis skills is suitable for undergraduates and postgraduates in biomedical engineering, computer science, biomedical science, and clinicians.

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About the Author
Dr Maria Deprez is a Lecturer in Medical Imaging in the Department of Perinatal Imaging & Health at the School of Biomedical Engineering & Imaging Sciences. Her Research interests are in motion correction and reconstruction of fetal and placental MRI, Spatio-temporal models of developing brain, segmentation, registration, atlases, machine learning, and deep learning
Dr Robinson’s research focuses on the development of computational methods for brain imaging analysis, and covers a wide range of image processing and machine learning topics. Most notably, her software for cortical surface registration (Multimodal Surface Matching, MSM) has been central to the development of ?of the Human Connectome Project’s “Multi-modal parcellation of the Human Cortex “ (Glasser et al, Nature 2016), and has featured as a central tenet in the HCP’s paradigm for neuroimage analysis (Glasser et al, Nature NeuroScience 2016). This work has been widely reported in the media including Wired, Scientific American, and Wall Street Journal). Current research interests are focused on the application of advanced machine learning, and particularly Deep Learning to diverse data sets combining multi-modality imaging data with genetic samples. Amazon page

Distributed Computing to Blockchain: Architecture, Technology, and Applications
by Rajiv Pandey (Editor), Sam Goundar (Editor), Shahnaz Fatima (Editor)
Publisher Finelybook 出版社: Academic Press; (April 25, 2023)
Language 语言: English
Pages 页数: 476 pages
ISBN-10 书号: 0323961460
ISBN-13 书号: 9780323961462

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Book Description
Distributed Computing to Blockchain: Architecture, Technology, and Applications provides researchers, computer scientists, and data scientists with a comprehensive and applied reference covering the evolution of distributed systems computing into blockchain and associated systems. Divided into three major sections, the book explores the basic topics in the blockchain space extending from distributed systems architecture, distributed ledger, decentralized web to introductory aspects of cryptoeconomics (cryptography and economics) of decentralized applications.
The book further explores advanced concepts such as smart contracts; distributed token mining, initial coin offerings; proof of work; public, private, and other blockchains; cryptography; security; and blockchains. The book goes on to review byzantine fault tolerance, distributed ledgers versus blockchains, and blockchain protocols. The final section covers multiple use cases and applications of distributed computing and the future directions for blockchains.

80 Ways to Use ChatGPT in the Classroom: Using AI to Enhance Teaching and Learning
by Stan Skrabut(Author)
ASIN: B0BVC8MXJV
Publisher Finelybook 出版社: Stan Skrabut (February 10, 2023)
Language 语言: English
Pages 页数: 135 pages
ISBN-13 书号: 9798985553765

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Book Description
What is the impact of chatGPT on your classroom? Should you be concerned? Should you use it or not?
In the book, “80 Ways to Use ChatGPT in the Classroom: Using AI to Enhance Teaching and Learning,” Dr. Stan Skrabut, an instructional technologist and designer, explores these topics and much more. He presents different ways to incorporate chatGPT into the classroom, including preparation for classes, providing instructional assistance, creating assessments, developing study aids, and using chatGPT for computer programming. The book also covers how students can use chatGPT for writing assistance, research, and personalized learning.
Stan provides practical examples and suggestions to help educators fully utilize chatGPT’s capabilities while addressing potential concerns and criticisms. The book aims to show that AI can enhance teaching and learning and encourages educators to embrace this technology in the classroom. See what the uproar is about!
Copyright
2 1. Introduction
1 What is chatGPT?
2 How to Use chatGPT
3 Keys to using ChatGPT
4 2. Using chatGPT to Prepare for Classes
1 1. Create a Course Description
2 2. Create Learning Goals and Objectives
3 3. Write a Lesson Plan
4 4. Craft Classroom Activities
5 5. Develop a List of Ice Breaker Questions and Activities
6 6. Identify Community-Building Activities
7 7. Create examples
8 8. Ideas for Starting Your Class
9 9. Craft Lecture Notes
10 10. Whiteboard Layout
11 11. Create Rubrics
12 12. Generate Project Ideas
13 13. Generate Discussion Questions
14 14. Test your Assignment Prompts
15 3. Using chatGPT for Providing Instructional Assistance
1 15. Essay Grading
2 16. Reading Comprehension
3 17. Create a Madlib Story
4 18. Create a Topic Outline
5 19. Generate Writing Prompts
6 20. Prepare Writing Samples
7 21. Write Instructions […]
for Various Tasks
8 22. Personalized Study Plans
9 23. Create a Presentation Outline
10 24. Generate Dummy Data
11 4. Using chatGPT for Creating Assessments
1 25. Create Fill-in-the-Blank Exercises
2 26. Generating Test Questions
3 27. Interactive Quizzes
4 5. Using chatGPT for Creating Study Aids
1 28. Create Study Guides
29. Build Vocabulary Lists
3 30. Create Flashcards
4 6. Using chatGPT to Develop Classroom Activities
1 31. Check an Essay to See if AI Wrote It
2 32. Critical Analysis of AI Generate Text
3 33. Debate Assistance
4 34. Write Interactive Fiction
5 35. Simulation-Based Learning
6 36. Dialogue Generation
7 37. Require AI Use as Part of Assignments
8 38. List Ways Students Can Use AI in your Discipline
9 39. Use With Think, Pair, Share
10 40. Predict chatGPT’s Response
11 41. Grade chatGPT’s Response
12 7. Ways Students can Use chatGPT
1 42. Writing Assistance
2 43. Language Translation
3 44. Language Discussion Partner
4 45. Digital Tutor
5 46. Q&A Session
6 47. Speech and Presentation Assistance
7 48. Digital Storytelling
8 49. Summarizing Articles
9 50. Clarifying Topics
10 51. Personalized Learning
11 52. Research Assistance
12 53. Expand on Notes
13 8. Using chatGPT for Computer Programming
1 54. Write Code
2 55. Explain What Code Does
3 56. Troubleshoot Scripts
4 57. Write SQL Code
5 58. Clean Up HTML Code
6 59. Write Application Scripts
7 60. Add Comments To Your Code
8 9. Other Uses
1 61. Create Blog Posts
2 62. Write a Book Rreview
3 63. Write a Play Script
4 64. Create Video Scripts
5 65. Rewrite Content for Different Audiences
6 66. Draft Email Messages
7 67. Draft Letters of Recommendation
8 68. Generate a Recommendation List
9 69. Interview Questions
10 70. Draft a Grant Proposal
71. Draft a Conference Proposal
12 72. Draft a Press Release for a Project
13 73. Convert References From One Format to Another
14 74. Convert First-Person to Third-Person
15 75. Summarize Meeting Notes
16 76. Analyze a Dataset
17 77. Draft Award Packages
18 78. Summarize Your Articles
19 79. TL;DR Summaries
20 80. Translate Research Articles
21 10. Combatting GPT
1 Stress Why Writing is Important
2 Get Rid of Disposable Assignments
3 Use chatGPT as Part of the Assignment
4 Assess the Process vs Outcome
5 Information Literacy
6 Give Credit to AI Co-writers
7 Discuss Academic Honesty Expectations
8 Test Your Assignment in chatGPT
9 Assignment Design
10 Flip Your Classroom
11 11. Conclusion
12 Endnotes
13 Also By
14

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About the Author

Tensor Algebra and Analysis for Engineers: With Applications to Differential Geometry of Curves and Surfaces (Contemporary Mathematics and Its … Monographs, Expositions and Lecture Notes, 5)
by Paolo Vannucci(Author)
Publisher Finelybook 出版社: World Scientific Publishing Company (February 27, 2023)
Language 语言: English
Pages 页数: 232 pages
ISBN-10 书号: 9811264805
ISBN-13 书号: 9789811264801

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Book Description
In modern theoretical and applied mechanics, tensors and differential geometry are two almost essential tools. Unfortunately, in university courses for engineering and mechanics students, these topics are often poorly treated or even completely ignored. At the same time, many existing, very complete texts on tensors or differential geometry are so advanced and written in abstract language that discourage young readers looking for an introduction to these topics specifically oriented to engineering applications.

This textbook, mainly addressed to graduate students and young researchers in mechanics, is an attempt to fill the gap. Its aim is to introduce the reader to the modern mathematical tools and language of tensors, with special applications to the differential geometry of curves and surfaces in the Euclidean space. The exposition of the matter is sober, directly oriented to problems that are ordinarily found in mechanics and engineering. Also, the language and symbols are tailored to those usually employed in modern texts of continuum mechanics.

Though not exhaustive, as any primer textbook, this volume constitutes a coherent, self-contained introduction to the mathematical tools and results necessary in modern continuum mechanics, concerning vectors, 2nd- and 4th-rank tensors, curves, fields, curvilinear coordinates, and surfaces in the Euclidean space. More than 100 exercises are proposed to the reader, many of them complete the theoretical part through additional results and proofs. To accompany the reader in learning, all the exercises are entirely developed and solved at the end of the book.

Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain (Intelligent Data-Centric Systems)
by Chinmay Chakraborty (Editor), Subhendukumar Pani (Editor), Mohd Abdul Ahad (Editor), Qin Xin (Editor)
Publisher Finelybook 出版社: Academic Press; (October 11, 2022)
Language 语言: English
Pages 页数: 298 pages
ISBN-10 书号: 0323919162
ISBN-13 书号: 9780323919166

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Book Description
Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain provides imperative research on the development of data fusion and analytics for healthcare and their implementation into current issues in a real-time environment. While highlighting IoT, bio-inspired computing, big data, and evolutionary programming, the book explores various concepts and theories of data fusion, IoT, and Big Data Analytics. It also investigates the challenges and methodologies required to integrate data from multiple heterogeneous sources, analytical platforms in healthcare sectors.
This book is unique in the way that it provides useful insights into the implementation of a smart and intelligent healthcare system in a post-Covid-19 world using enabling technologies like Artificial Intelligence, Internet of Things, and blockchain in providing transparent, faster, secure and privacy preserved healthcare ecosystem for the masses.

Deep Learning (Volume 48) (Handbook of Statistics, Volume 48)
by Arni S.R. Srinivasa Rao (Editor), Venu Govindaraju (Editor), C.R. Rao (Editor)
Publisher Finelybook 出版社: Academic Press; (March 16, 2023)
Language 语言: English
Pages 页数: 270 pages
ISBN-10 书号: 0443184305
ISBN-13 书号: 9780443184307

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Book Description
Deep Learning, Volume 48 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Generative Adversarial Networks for Biometric Synthesis, Data Science and Pattern Recognition, Facial Data Analysis, Deep Learning in Electronics, Pattern Recognition, Computer Vision and Image Processing, Mechanical Systems, Crop Technology and Weather, Manipulating Faces for Identity Theft via Morphing and Deepfake, Biomedical Engineering, and more.

Advances in Computers (Volume 130)
by Ali Hurson (Editor)
Publisher Finelybook 出版社: Academic Press; (March 16, 2023)
Language 语言: English
Pages 页数: 216 pages
ISBN-10 书号: 0443192960
ISBN-13 书号: 9780443192968

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Book Description
The 130 th volume is an eclectic volume inspired by recent issues of interest in research and development in computer science and computer engineering. The volume is a collection of five chapters.
Autonomous Vehicle Cybersecurity
Multicore architecture
Cloud-based multimedia system

IoT Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks
by Mohammadreza Daneshvar (Editor), Behnam Mohammadi-Ivatloo (Editor), Kazem Zare (Editor), Amjad Anvari-Moghaddam (Editor)
Publisher Finelybook 出版社: Academic Press; (March 22, 2023)
Language 语言: English
Pages 页数: 190 pages
ISBN-10 书号: 0323954219
ISBN-13 书号: 9780323954211

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Book Description
IoT-Enabled Multi-Energy Systems: From Isolated Energy Grids to Modern Interconnected Networks proposes practical solutions for the management and control of energy interactions throughout the interconnected energy infrastructures of the future multi-energy grid. The book discusses a panorama of modeling, planning and optimization considerations for IoT technologies, their applications across grid modernization, and the coordinated operation of multi-vector energy grids. The work is suitable for energy, power, mechanical, chemical, process and environmental engineers, and highly relevant for researchers and postgraduate students who work on energy systems.
Sections address core theoretical underpinnings, significant challenges and opportunities, how to support IoT-based developed expert systems, and how AI can empower IoT technologies to sustainably develop fully renewable modern multi-carrier energy networks. Contributors address artificial intelligence technology and its applications in developing IoT-based technologies, cloud-based intelligent energy management schemes, data science and multi-energy big data analysis, machine learning and deep learning techniques in multi-energy systems, and much more.