Understanding artificial intelligence : (Record no. 12902)
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fixed length control field | 09374cam a2200685 i 4500 |
001 - CONTROL NUMBER | |
control field | on1336591651 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | OCoLC |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240523125544.0 |
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
fixed length control field | m o d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | cr ||||||||||| |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220422s2022 njua ob 001 0 eng |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
LC control number | 2022017565 |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | DLC |
Language of cataloging | eng |
Description conventions | rda |
Transcribing agency | DLC |
Modifying agency | YDX |
-- | IEEEE |
-- | OCLCF |
-- | DG1 |
-- | OCLCQ |
-- | N$T |
-- | UKMGB |
-- | VLB |
-- | SFB |
-- | OCLCO |
-- | OCLCL |
015 ## - NATIONAL BIBLIOGRAPHY NUMBER | |
National bibliography number | GBC391285 |
Source | bnb |
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER | |
Record control number | 021047260 |
Source | Uk |
019 ## - | |
-- | 1379474187 |
-- | 1405394694 |
-- | 1424753673 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781119858393 |
Qualifying information | (electronic bk. : oBook) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1119858399 |
Qualifying information | (electronic bk. : oBook) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1119858380 |
Qualifying information | electronic publication |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781119858348 |
Qualifying information | adobe |
-- | electronic book |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 1119858348 |
Qualifying information | adobe |
-- | electronic book |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781119858386 |
Qualifying information | (electronic bk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9781119858331 |
Qualifying information | hardcover |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 111985833X |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781119858331 |
024 7# - OTHER STANDARD IDENTIFIER | |
Standard number or code | 10.1002/9781119858393 |
Source of number or code | doi |
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
OCLC library identifier | AU@ |
System control number | 000072196046 |
029 1# - OTHER SYSTEM CONTROL NUMBER (OCLC) | |
OCLC library identifier | UKMGB |
System control number | 021047260 |
035 ## - SYSTEM CONTROL NUMBER | |
System control number | (OCoLC)1336591651 |
Canceled/invalid control number | (OCoLC)1379474187 |
-- | (OCoLC)1405394694 |
-- | (OCoLC)1424753673 |
037 ## - SOURCE OF ACQUISITION | |
Stock number | 9880910 |
Source of stock number/acquisition | IEEE |
042 ## - AUTHENTICATION CODE | |
Authentication code | pcc |
050 04 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | Q335 |
Item number | .L58 2022 |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | COM |
Subject category code subdivision | 014000 |
Source | bisacsh |
072 #7 - SUBJECT CATEGORY CODE | |
Subject category code | COM |
Subject category code subdivision | 044000 |
Source | bisacsh |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.3 |
Edition number | 23/eng20220718 |
049 ## - LOCAL HOLDINGS (OCLC) | |
Holding library | MAIN |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Liu, Albert Chun-Chen, |
Relator term | author. |
245 10 - TITLE STATEMENT | |
Title | Understanding artificial intelligence : |
Remainder of title | fundamentals and applications / |
Statement of responsibility, etc. | Albert (Chun-Chen) Liu, Oscar Ming Kin Law, Iain Law. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | Hoboken, New Jersey : |
Name of producer, publisher, distributor, manufacturer | Wiley-IEEE Press, |
Date of production, publication, distribution, manufacture, or copyright notice | [2022] |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 1 online resource : |
Other physical details | illustrations (chiefly color) |
336 ## - CONTENT TYPE | |
Content type term | text |
Content type code | txt |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | computer |
Media type code | c |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier type term | online resource |
Carrier type code | cr |
Source | rdacarrier |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc. note | Includes bibliographical references and index. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | "This is an introductory book for professionals and undergraduate students without any background in artificial intelligence. The book describes how the new artificial intelligence technology, neural network, totally changes our everyday life. It first describes the neural network development history and introduces the classical neural network -- convolutional neural network architecture. After that, it covers the artificial development in six different areas; healthcare, finance, retail, manufacturing, agriculture, and smart city. This book targets students with different backgrounds, such as, business, humanity, arts, science and engineering, allowing them to understand the artificial intelligent general applications and how this impacts on their future."-- |
Assigning source | Provided by publisher. |
588 ## - SOURCE OF DESCRIPTION NOTE | |
Source of description note | Description based on online resource; title from digital title page (viewed on September 12, 2022). |
505 0# - FORMATTED CONTENTS NOTE | |
Formatted contents note | 1 Introduction 1 -- 1.1 Overview 1 -- 1.2 Development History 3 -- 1.3 Neural Network Model 6 -- 1.4 Popular Neural Network 7 -- 1.4.1 Convolutional Neural Network 7 -- 1.4.2 Recurrent Neural Network 8 -- 1.4.3 Reinforcement Learning 9 -- 1.5 Neural Network Classification 9 -- 1.5.1 Supervised learning 10 -- 1.5.2 Semi-supervised learning 10 -- 1.5.3 Unsupervised learning 11 -- 1.6 Neural Network Operation 11 -- 1.6.1 Training 11 -- 1.6.2 Inference 12 -- 1.7 Application Development 12 -- 1.7.1 Business Planning 14 -- 1.7.2 Network Design 14 -- 1.7.3 Data Engineering 14 -- 1.7.4 System Integration 15 -- Exercise 16 -- 2 Neural Network 17 -- 2.1 Convolutional Layer 19 -- 2.2 Activation Layer 20 -- 2.3 Pooling Layer 21 -- 2.4 Batch Normalization 22 -- 2.5 Dropout Layer 22 -- 2.6 Fully Connected Layer 23 -- Exercise 24 -- 3 Machine Vision 25 -- 3.1 Object Recognition 25 -- 3.2 Feature Matching 27 -- 3.3 Facial Recognition 28 -- 3.4 Gesture Recognition 30 -- 3.5 Machine Vision Applications 31 -- 3.5.1 Medical Diagnosis 31 -- 3.5.2 Retail Applications 32 -- 3.5.3 Airport Security 33 -- Exercise 34 -- 4 Natural Language Processing 35 -- 4.1 Neural Network Model 36 -- 4.1.1 Convolutional Neural Network 36 -- 4.1.2 Recurrent Neural Network 37 -- 4.1.2.1 Long Short-Term Memory Network 38 -- 4.1.3 Recursive Neural Network 39 -- 4.1.4 Reinforcement Learning 40 -- 4.2 Natural Language Processing Applications 41 -- 4.2.1 Virtual Assistant 41 -- 4.2.2 Language Translation 42 -- 4.2.3 Machine Transcription 43 -- Exercise 45 -- 5 Autonomous Vehicle 46 -- 5.1 Levels of Driving Automation 46 -- 5.2 Autonomous Technology 48 -- 5.2.1 Computer Vision 48 -- 5.2.2 Sensor Fusion 49 -- 5.2.3 Localization 51 -- 5.2.4 Path Planning 52 -- 5.2.5 Drive Control 52 -- 5.3 Communication Strategies 53 -- 5.3.1 Vehicle-to-Vehicle Communication 54 -- 5.3.2 Vehicle-to-Infrastructure Communication 54 -- 5.3.3 Vehicle-to-Pedestrian Communication 55 -- 5.4 Law Legislation 56 -- 5.4.1 Human Behavior 57 -- 5.4.2 Lability 57 -- 5.4.3 Regulation 58 -- 5.5 Future Challenges 58 -- 5.5.1 Road Rules Variation 58 -- 5.5.2 Unified Communication Protocol 58 -- 5.5.3 Safety Standard and Guideline 59 -- 5.5.4 Weather/Disaster 59 -- Exercise 60 -- 6 Drone 61 -- 6.1 Drone Design 61 -- 6.2 Drone Structure 62 -- 6.2.1 Camera 63 -- 6.2.2 Gyro Stabilization 63 -- 6.2.3 Collision Avoidance 64 -- 6.2.4 Global Positioning System 64 -- 6.2.5 Sensors 64 -- 6.3 Drone Regulation 65 -- 6.3.1 Recreational Rules 65 -- 6.3.2 Commercial Rules 66 -- 6.4 Applications 66 -- 6.4.1 Infrastructure Inspection 66 -- 6.4.2 Civil Construction 67 -- 6.4.3 Agriculture 68 -- 6.4.4 Emergency Rescue 69 -- Exercise 70 -- 7 Healthcare 71 -- 7.1 Telemedicine 71 -- 7.2 Medical Diagnosis 72 -- 7.3 Medical Imaging 73 -- 7.4 Smart Medical Device 74 -- 7.5 Electronic Health Record 76 -- 7.6 Medical Billing 77 -- 7.7 Drug Development 78 -- 7.8 Clinical Trial 79 -- 7.9 Medical Robotics 80 -- 7.10 Elderly Care 81 -- 7.11 Future Challenges 82 -- Exercise 84 -- 8 Finance 85 -- 8.1 Fraud Prevention 85 -- 8.2 Financial Forecast 88 -- 8.3 Stock Trading 89 -- 8.4 Banking 91 -- 8.5 Accounting 94 -- 8.6 Insurance 95 -- Exercise 96 -- 9 Retail 97 -- 9.1 E-Commerce 98 -- 9.2 Virtual Shopping 100 -- 9.3 Product Promotion 102 -- 9.4 Store Management 103 -- 9.5 Warehouse Management 104 -- 9.6 Inventory Management 106 -- 9.7 Supply Chain 108 -- Exercise 110 -- 10 Manufacturing 111 -- 10.1 Defect Detection 112 -- 10.2 Quality Assurance 113 -- 10.3 Production Integration 114 -- 10.4 Generative Design 115 -- 10.5 Predictive Maintenance 117 -- 10.6 Environment Sustainability 118 -- 10.7 Manufacturing Optimization 119 -- Exercise 121 -- 11 Agriculture 122 -- 11.1 Crop and Soil Monitoring 123 -- 11.2 Agricultural Robot 125 -- 11.3 Pest Control 126 -- 11.4 Precision Farming 127 -- Exercise 129 -- 12 Smart City 130 -- 12.1 Smart Transportation 131 -- 12.2 Smart Parking 132 -- 12.3 Waste Management 133 -- 12.4 Smart Grid 134 -- 12.5 Environmental Conservation 135 -- Exercise 137 -- 13 Government 138 -- 13.1 Information Technology 140 -- 13.2 Human Service 141 -- 13.3 Law Enforcement 144 -- 13.3.4 Augmenting Human Movement 147 -- 13.4 Homeland Security 147 -- 13.5 Legislation 149 -- 13.6 Ethics 152 -- 13.7 Public Perspective 155 -- Exercise 159 -- 14 Computing Platform 160 -- 14.1 Central Processing Unit 160 -- 14.1.1 System Architecture 161 -- 14.1.2 Advanced Vector Extension 164 -- 14.1.3 Math Kernel Library for Deep Neural Network 165 -- 14.2 Graphics Processing Unit 165 -- 14.2.1 Tensor Core Architecture 167 -- 14.2.2 NVLink2 Configuration 167 -- 14.2.3 High Bandwidth Memory 169 -- 14.3 Tensor Processing Unit 170 -- 14.3.1 System Architecture 170 -- 14.3.2 Brain Floating Point Format 171 -- 14.3.3 Cloud Configuration 172 -- 14.4 Neural Processing Unit 173 -- 14.4.1 System Architecture 173 -- 14.4.2 Deep Compression 174 -- 14.4.3 Dynamic Memory Allocation 174 -- 14.4.4 Edge AI Server 175 -- Exercise 176 -- Appendix A Kneron Neural Processing Unit 178 -- Appendix B Object Detection (Overview) 179 -- B.1 Kneron Environment Setup 179 -- B.2 Python Installation 180 -- B.3 Library Installation 184 -- B.4 Driver Installation 185 -- B.5 Model Installation 186 -- B.6 Image/Camera Detection 186 -- B.7 Yolo Class List 190 -- Appendix C Object Detection - Hardware 192 -- C.1 Library Setup 192 -- C.2 System Parameters 193 -- C.3 NPU Initialization 194 -- C.4 Image Detection 195 -- C.5 Camera Detection 197 -- Appendix D Hardware Transfer Mode 199 -- D.1 Serial Transfer Mode 199 -- D.2 Pipeline Transfer Mode 201 -- D.3 Parallel Transfer Mode 203 -- Appendix E Object Detection - Software (Optional) 205 -- E.1 Library Setup 205 -- E.2 Image Detection 207 -- E.3 Video Detection 208 -- Reference 211. |
590 ## - LOCAL NOTE (RLIN) | |
Local note | John Wiley and Sons |
Provenance (VM) [OBSOLETE] | Wiley Online Library: Complete oBooks |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Artificial intelligence. |
650 #6 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Intelligence artificielle. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | artificial intelligence. |
Source of heading or term | aat |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Artificial intelligence |
Source of heading or term | fast |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Law, Oscar Ming Kin, |
Relator term | author. |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Law, Iain, |
Relator term | author. |
758 ## - RESOURCE IDENTIFIER | |
Relationship information | has work: |
Label | UNDERSTANDING ARTIFICIAL INTELLIGENCE (Text) |
Real World Object URI | https://id.oclc.org/worldcat/entity/E39PD3wrhMGDC3ppx4PgtKXwFq |
Relationship | https://id.oclc.org/worldcat/ontology/hasWork |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Print version: |
Main entry heading | Liu, Albert Chun-Chen. |
Title | Understanding artificial intelligence |
Place, publisher, and date of publication | Hoboken, New Jersey : Wiley-IEEE Press, [2022] |
International Standard Book Number | 9781119858331 |
Record control number | (DLC) 2022017564 |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://onlinelibrary.wiley.com/doi/book/10.1002/9781119858393">https://onlinelibrary.wiley.com/doi/book/10.1002/9781119858393</a> |
938 ## - | |
-- | EBSCOhost |
-- | EBSC |
-- | 3370741 |
994 ## - | |
-- | 92 |
-- | INLUM |
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