| 綜合性 | |
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| 1 |
內容包含人文社會、文學小說、語言學習、財經商管、科學科普、電腦資訊、醫藥養生、藝術設計、休閒生活、考試證照各領域電子書，特別推薦語言學習有聲書。 |
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iRead eBooks 華藝電子書 airitiBooks 使用說明 內容包含商管財經、休閒旅遊、文學小說、語言學習，以及考試用書、教科書、學術專業圖書。 |
| 3 |
以大學及專業出版社所出版的圖書為主，內容包含：研究型教科書、學術專著、美術及醫學等專題論述、中小學讀本等。語種多元，包含了繁簡中文、英文等語種出版品。 McGraw-Hill 專區 |
| 4 |
與國內各出版社與作家合作的電子書，重新編排製作、互動設計，提供聯經、天下文化、大石國際文化(國家地理雜誌)、經濟日報、寶瓶文化、時報文化、讀書共和國等多家出版社的優質學術書籍。 |
| 工科領域 | |
|---|---|
| 1 |
IGI InfoScience Science & Engineering User Guide IGI Global是專門出版電腦科學和資訊科技管理高品質研究的國際出版社，包含11個領域、350多個主題，為最新、最即時的研究。 |
| 2 |
IOS Press為成立於1990年的STM(Scientific、Technical and Medical )國際專業出版社，主題包含計算機科學、數學、醫學和自然科學；全文以PDF直接閱讀，提供主題、書名瀏覽及檢索功能。 |
| 3 |
為iGroup開發的線上電子書平台，與超過100家世界知名出版機構合作、出版其數位內容。本校購買以下工科領域出版社之電子書： Momentum Press Society for Industrial and Applied Mathematics (SIAM) |
| 4 |
Royal Society of Chemistry (RSC) 館藏查詢 英國皇家化學學會(Royal Society of Chemistry，簡稱RSC)，為具國際權威的化學學術機構，主題涵蓋了基礎化學、分析化學、物理化學、有機化學、奈米科學等研究領域。 |
| 5 |
World Scientific世界科技出版社為重要的科學主題出版社，許多出版的書籍為世界知名大學史丹佛、東大、劍橋、麻省理工等使用教科書，其作者編輯網羅諾貝爾獎得主與各領域知名專業學者。 |
| 綜合性 | |
|---|---|
| 1 |
Cambridge Core (原Cambridge Books Online (CBO) 電子書) 收錄劍橋大學出版社之電子書，主題相當廣泛，包含醫學類、人文類、社會科學類、自然科學類等。 |
| 2 |
eBooks on EBSCOhost (原名:NetLibrary電子書) User Guide 為英文綜合學科之電子書，可直接線上閱讀、或下載至載具離線閱讀 (支援多載具)。 |
| 3 |
Elsevier eBooks on ScienceDirect 為Elsevier出版社經營的電子資源平台，涵蓋生化、遺傳學和分子生物學、化學、臨床醫學、工程學和獸醫學等學科。 |
| 4 |
ProQuest Ebook Central MyiLibrary電子書 User Guide MyiLibrary於2018年併為ProQuest Ebook Central平台，涵蓋綜合類十大主題，提供多種欄位檢索及主題瀏覽，提供線上閱讀及整本或特定章節下載。 |
| 5 |
SpringerLink 施普林格電子書 館藏查詢 全球最大的學術出版社，提供Springer出版社之電子書與電子叢書。 |
| 6 |
Taylor & Francis 電子書 Engineering & Technology 收錄Taylor & Francis、Routledge、Psychology Press、CRC Press等多家出版社的學術專業參考書。 |
| 7 |
為國際知名專業出版機構John Wiley & Sons所出版之電子書平台，內容涵蓋商業、化學、電腦科學、地球與環境科學、教育、工程、法律、生命科學、數學與統計、醫學與公共衛生、物理與天文、聚合物與材料科學、心理學等領域。 |
AI Techniques for Reliability Prediction for Electronic Components by
In the industry of manufacturing and design, one major constraint has been enhancing operating performance using less time. As technology continues to advance, manufacturers are looking for better methods in predicting the condition and residual lifetime of electronic devices in order to save repair costs and their reputation. Intelligent systems are a solution for predicting the reliability of these components; however, there is a lack of research on the advancements of this smart technology within the manufacturing industry. AI Techniques for Reliability Prediction for Electronic Components provides emerging research exploring the theoretical and practical aspects of prediction methods using artificial intelligence and machine learning in the manufacturing field. Featuring coverage on a broad range of topics such as data collection, fault tolerance, and health prognostics, this book is ideally designed for reliability engineers, electronic engineers, researchers, scientists, students, and faculty members seeking current research on the advancement of reliability analysis using AI.
Fuzzy Systems and Data Mining IV by
Big Data Analytics is on the rise in the last years of the current decade. Data are overwhelming the computation capacity of high performance servers. Cloud, grid, edge and fog computing are a few examples of the current hype. Computational Intelligence offers two faces to deal with the development of models: on the one hand, the crisp approach, which considers for every variable an exact value and, on the other hand, the fuzzy focus, which copes with values between two boundaries.This book presents 114 papers from the 4th International Conference on Fuzzy Systems and Data Mining (FSDM 2018), held in Bangkok, Thailand, from 16 to 19 November 2018. All papers were carefully reviewed by program committee members, who took into consideration the breadth and depth of the research topics that fall within the scope of FSDM. The acceptance rate was 32.85% .Offering a state-of-the-art overview of fuzzy systems and data mining, the publication will be of interest to all those whose work involves data science.
An Introduction to X-Ray Physics, Optics, and Applications by
In this book, Carolyn A. MacDonald provides a comprehensive introduction to the physics of a wide range of x-ray applications, optics, and analysis tools. Theory is applied to practical considerations of optics and applications ranging from astronomy to medical imaging and materials analysis. Emphasizing common physical concepts that underpin diverse phenomena and applications of x-ray physics, the book opens with a look at nuclear medicine, motivating further investigations into scattering, detection, and noise statistics. The second section explores topics in x-ray generation, including characteristic emission, x-ray fluorescence analysis, bremsstrahlung emission, and synchrotron and laser sources. The third section details the main forms of interaction, including the physics of photoelectric absorption, coherent and Compton scattering, diffraction, and refractive, reflective, and diffractive optics. Applications in this section include x-ray spectroscopy, crystallography, and dose and contrast in radiography. A bibliography is included at the end of every chapter, and solutions to chapter problems are provided in the appendix. Based on a course for advanced undergraduates and graduate students in physics and related sciences and also intended for researchers, An Introduction to X-Ray Physics, Optics, and Applications offers a thorough survey of the physics of x-ray generation and of interaction with materials. Common aspects of diverse phenomena emphasized Theoretical development tied to practical applications Suitable for advanced undergraduate and graduate students in physics or related sciences, as well as researchers Examples and problems include applications drawn from medicine, astronomy, and materials analysis Detailed solutions are provided for all examples and problems
Sustainability Modeling in Engineering: a Multi-Criteria Perspective by
Given the increasing need to optimize resources sustainably, decision-makers face challenges in analyzing and considering the numerous factors involved. This book makes an effort to present and concentrate on the challenges in decision-making processes for green and sustainable engineering. Through a collection of case studies such as evaluation of waste assessment and drainage system, sustainable building assessment, renewable energy selection, materials and manufacturing process optimization, and crop pattern influence in environmental and economic conditions, readers can learn how to apply cutting-edge Multiple-Criteria Decision Making (MCDM) methods in addressing complexities involved in the decision-making process.
Bayesian Networks in Fault Diagnosis by
Fault diagnosis is useful for technicians to detect, isolate, identify faults, and troubleshoot. Bayesian network (BN) is a probabilistic graphical model that effectively deals with various uncertainty problems. This model is increasingly utilized in fault diagnosis.This unique compendium presents bibliographical review on the use of BNs in fault diagnosis in the last decades with focus on engineering systems. Subsequently, eleven important issues in BN-based fault diagnosis methodology, such as BN structure modeling, BN parameter modeling, BN inference, fault identification, validation, and verification are discussed in various cases.Researchers, professionals, academics and graduate students will better understand the theory and application, and benefit those who are keen to develop real BN-based fault diagnosis system.
