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Author | Title | Accn# | Year | Item Type | Claims |
| 11 |
Cerquitelli, Tania |
Predictive Maintenance in Smart Factories |
I11670 |
2021 |
eBook |
|
| 12 |
Ant??o, R??mulo |
Type-2 Fuzzy Logic |
I10250 |
2017 |
eBook |
|
| 13 |
Gon??alves, Bruno |
Complex Networks VIII |
I10047 |
2017 |
eBook |
|
| 14 |
Cornelius, Sean |
Complex Networks IX |
I09914 |
2018 |
eBook |
|
| 15 |
Bourgine, Paul |
First Complex Systems Digital Campus World E-Conference 2015 |
I09839 |
2017 |
eBook |
|
| 16 |
Antonik, Piotr |
Application of FPGA to Real???Time Machine Learning |
I09691 |
2018 |
eBook |
|
| 17 |
Payne, Diane |
Social Simulation for a Digital Society |
I09480 |
2019 |
eBook |
|
| 18 |
Farouk, Mohamed Hesham |
Recent Advances in Engineering Mathematics and Physics |
I09220 |
2020 |
eBook |
|
| 19 |
Barbosa, Hugo |
Complex Networks XI |
I09203 |
2020 |
eBook |
|
| 20 |
Zhao, Haitao |
Feature Learning and Understanding |
I09105 |
2020 |
eBook |
|
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|
11.
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| Title | Predictive Maintenance in Smart Factories : Architectures, Methodologies, and Use-cases |
| Author(s) | Cerquitelli, Tania;Nikolakis, Nikolaos;O???Mahony, Niamh;Macii, Enrico;Ippolito, Massimo;Makris, Sotirios |
| Publication | Singapore, Springer Nature Singapore, 2021. |
| Description | XIV, 234 p. 117 illus., 108 illus. in color : online resource |
| Abstract Note | This book presents the outcome of the European project "SERENA", involving fourteen partners as international academics, technological companies, and industrial factories, addressing the design and development of a plug-n-play end-to-end cloud architecture, and enabling predictive maintenance of industrial equipment to be easily exploitable by small and medium manufacturing companies with a very limited data analytics experience. Perspectives and new opportunities to address open issues on predictive maintenance conclude the book with some interesting suggestions of future research directions to continue the growth of the manufacturing intelligence |
| ISBN,Price | 9789811629402 |
| Keyword(s) | 1. Communications Engineering, Networks
2. COMPLEX SYSTEMS
3. Computational Intelligence
4. DATABASE MANAGEMENT
5. Database Management System
6. EBOOK
7. EBOOK - SPRINGER
8. Industrial and Production Engineering
9. Industrial engineering
10. Production engineering
11. SYSTEM THEORY
12. TELECOMMUNICATION
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11670 |
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On Shelf |
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13.
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| Title | Complex Networks VIII : Proceedings of the 8th Conference on Complex Networks CompleNet 2017 |
| Author(s) | Gon??alves, Bruno;Menezes, Ronaldo;Sinatra, Roberta;Zlatic, Vinko |
| Publication | Cham, Springer International Publishing, 2017. |
| Description | XIV, 262 p. 88 illus., 75 illus. in color : online resource |
| Abstract Note | This book collects the works presented at the 8th International Conference on Complex Networks (CompleNet) 2017 in Dubrovnik, Croatia, on March 21-24, 2017. CompleNet aims at bringing together researchers and practitioners working in areas related to complex networks. The past two decades has witnessed an exponential increase in the number of publications within this field. From biological systems to computer science, from economic to social systems, complex networks are becoming pervasive in many fields of science. It is this interdisciplinary nature of complex networks that CompleNet aims at addressing. The last decades have seen the emergence of complex networks as the language with which a wide range of complex phenomena in fields as diverse as physics, computer science, and medicine (to name a few) can be properly described and understood. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as network controllability, social structure, online behavior, recommendation systems, and network structure |
| ISBN,Price | 9783319542416 |
| Keyword(s) | 1. Applications of Graph Theory and Complex Networks
2. ARTIFICIAL INTELLIGENCE
3. COMPLEXITY
4. COMPUTATIONAL COMPLEXITY
5. Computational Intelligence
6. Computational Social Sciences
7. EBOOK
8. EBOOK - SPRINGER
9. PHYSICS
10. Social sciences???Computer programs
11. Social sciences???Data processing
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10047 |
|
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On Shelf |
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14.
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| Title | Complex Networks IX : Proceedings of the 9th Conference on Complex Networks CompleNet 2018 |
| Author(s) | Cornelius, Sean;Coronges, Kate;Gon??alves, Bruno;Sinatra, Roberta;Vespignani, Alessandro |
| Publication | Cham, Springer International Publishing, 2018. |
| Description | XV, 350 p. 90 illus., 81 illus. in color : online resource |
| Abstract Note | This book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 9th International Conference on Complex Networks (CompleNet) 2018 in Boston, MA in March, 2018. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security |
| ISBN,Price | 9783319731988 |
| Keyword(s) | 1. Applications of Graph Theory and Complex Networks
2. ARTIFICIAL INTELLIGENCE
3. COMPLEXITY
4. COMPUTATIONAL COMPLEXITY
5. Computational Intelligence
6. Computational Social Sciences
7. EBOOK
8. EBOOK - SPRINGER
9. PHYSICS
10. Social sciences???Computer programs
11. Social sciences???Data processing
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09914 |
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On Shelf |
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15.
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| Title | First Complex Systems Digital Campus World E-Conference 2015 |
| Author(s) | Bourgine, Paul;Collet, Pierre;Parrend, Pierre |
| Publication | Cham, Springer International Publishing, 2017. |
| Description | VIII, 424 p. 120 illus., 96 illus. in color : online resource |
| Abstract Note | This book contains the proceedings as well as invited papers for the first annual conference of the UNESCO Unitwin Complex System Digital Campus (CSDC), which is an international initiative gathering 120 Universities on four continents, and structured in ten E-Departments. First Complex Systems Digital Campus World E-Conference 2015 features chapters from the latest research results on theoretical questions of complex systems and their experimental domains. The content contained bridges the gap between the individual and the collective within complex systems science and new integrative sciences on topics such as: genes to organisms to ecosystems, atoms to materials to products, and digital media to the Internet. The conference breaks new ground through a dedicated video-conferencing system ??? a concept at the heart of the international UNESCO UniTwin, embracing scientists from low-income and distant countries. This book promotes an integrated system of research, education, and training. It also aims at contributing to global development by taking into account its social, economic, and cultural dimensions. First Complex Systems Digital Campus World E-Conference 2015 will appeal to students and researchers working in the fields of complex systems, statistical physics, computational intelligence, and biological physics. |
| ISBN,Price | 9783319459011 |
| Keyword(s) | 1. Biological and Medical Physics, Biophysics
2. BIOLOGICAL PHYSICS
3. BIOPHYSICS
4. COMPLEX SYSTEMS
5. COMPLEXITY
6. COMPUTATIONAL COMPLEXITY
7. Computational Intelligence
8. DATA MINING
9. Data Mining and Knowledge Discovery
10. DYNAMICAL SYSTEMS
11. EBOOK
12. EBOOK - SPRINGER
13. STATISTICAL PHYSICS
14. SYSTEM THEORY
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09839 |
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On Shelf |
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16.
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| Title | Application of FPGA to Real???Time Machine Learning : Hardware Reservoir Computers and Software Image Processing |
| Author(s) | Antonik, Piotr |
| Publication | Cham, Springer International Publishing, 2018. |
| Description | XXII, 171 p. 68 illus., 8 illus. in color : online resource |
| Abstract Note | This book lies at the interface of machine learning ??? a subfield of computer science that develops algorithms for challenging tasks such as shape or image recognition, where traditional algorithms fail ??? and photonics ??? the physical science of light, which underlies many of the optical communications technologies used in our information society. It provides a thorough introduction to reservoir computing and field-programmable gate arrays (FPGAs). Recently, photonic implementations of reservoir computing (a machine learning algorithm based on artificial neural networks) have made a breakthrough in optical computing possible. In this book, the author pushes the performance of these systems significantly beyond what was achieved before. By interfacing a photonic reservoir computer with a high-speed electronic device (an FPGA), the author successfully interacts with the reservoir computer in real time, allowing him to considerably expand its capabilities and range of possible applications. Furthermore, the author draws on his expertise in machine learning and FPGA programming to make progress on a very different problem, namely the real-time image analysis of optical coherence tomography for atherosclerotic arteries |
| ISBN,Price | 9783319910536 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. Computational Intelligence
3. EBOOK
4. EBOOK - SPRINGER
5. Image Processing and Computer Vision
6. LASERS
7. OPTICAL DATA PROCESSING
8. Optics, Lasers, Photonics, Optical Devices
9. PHOTONICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09691 |
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On Shelf |
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17.
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| Title | Social Simulation for a Digital Society : Applications and Innovations in Computational Social Science |
| Author(s) | Payne, Diane;Elkink, Johan A;Friel, Nial;Grund, Thomas U;Hochstrasser, Tamara;Lucas, Pablo;Ottewill, Adrian |
| Publication | Cham, Springer International Publishing, 2019. |
| Description | VIII, 218 p. 58 illus., 37 illus. in color : online resource |
| Abstract Note | ???Social Simulation for a Digital Society??? provides a cross-section of state-of-the-art research in social simulation and computational social science. With the availability of big data and faster computing power, the social sciences are undergoing a tremendous transformation. Research in computational social sciences has received considerable attention in the last few years, with advances in a wide range of methodologies and applications. Areas of application of computational methods range from the study of opinion and information dynamics in social networks, the formal modeling of resource use, the study of social conflict and cooperation to the development of cognitive models for social simulation and many more. This volume is based on the Social Simulation Conference of 2017 in Dublin and includes applications from across the social sciences, providing the reader with a demonstration of the highly versatile research in social simulation, with a particular focus on public policy relevance in a digital society. Chapters in the book include contributions to the methodology of simulation-based research, theoretical and philosophical considerations, as well as applied work. This book will appeal to students and researchers in the field. |
| ISBN,Price | 9783030302986 |
| Keyword(s) | 1. Computational Intelligence
2. Computational Social Sciences
3. COMPUTER SIMULATION
4. Data-driven Science, Modeling and Theory Building
5. DECISION MAKING
6. EBOOK
7. EBOOK - SPRINGER
8. ECONOPHYSICS
9. OPERATIONS RESEARCH
10. Operations Research/Decision Theory
11. Simulation and Modeling
12. Social sciences???Computer programs
13. Social sciences???Data processing
14. Sociophysics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09480 |
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On Shelf |
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18.
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| Title | Recent Advances in Engineering Mathematics and Physics : Proceedings of the International Conference RAEMP 2019 |
| Author(s) | Farouk, Mohamed Hesham;Hassanein, Maha Amin |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | XIX, 401 p. 252 illus., 148 illus. in color : online resource |
| Abstract Note | This book gathers the proceedings of the 4th conference on Recent Advances in Engineering Math. & Physics (RAEMP 2019), which took place in Cairo, Egypt in December 2019. This international and interdisciplinary conference highlights essential research and developments in the field of Engineering Mathematics and Physics and related technologies and applications. The proceedings is organized to follow the main tracks of the conference: Advanced computational techniques in engineering and sciences; computational intelligence; photonics; physical measurements and big data analytics; physics and nano-technologies; and optimization and mathematical analysis |
| ISBN,Price | 9783030398477 |
| Keyword(s) | 1. Computational Intelligence
2. Computational Science and Engineering
3. Computer mathematics
4. EBOOK
5. EBOOK - SPRINGER
6. ENGINEERING MATHEMATICS
7. Mathematical Applications in the Physical Sciences
8. MATHEMATICAL PHYSICS
9. Numerical and Computational Physics, Simulation
10. PHYSICS
|
| Item Type | eBook |
Multi-Media Links
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Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09220 |
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On Shelf |
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19.
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| Title | Complex Networks XI : Proceedings of the 11th Conference on Complex Networks CompleNet 2020 |
| Author(s) | Barbosa, Hugo;Gomez-Gardenes, Jesus;Gon??alves, Bruno;Mangioni, Giuseppe;Menezes, Ronaldo;Oliveira, Marcos |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | XVI, 404 p. 163 illus., 134 illus. in color : online resource |
| Abstract Note | This book aims to bring together researchers and practitioners from diverse disciplines???from sociology, biology, physics, and computer science???who share a passion to better understand the interdependencies within and across systems. This volume contains contributions presented at the 11th International Conference on Complex Networks (CompleNet) in Exeter, United Kingdom, 31 March - 3 April 2020. CompleNet is a venue for discussing ideas and findings about all types of networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate |
| ISBN,Price | 9783030409432 |
| Keyword(s) | 1. Applications of Graph Theory and Complex Networks
2. COMPLEXITY
3. COMPUTATIONAL COMPLEXITY
4. Computational Intelligence
5. Computational Social Sciences
6. EBOOK
7. EBOOK - SPRINGER
8. PHYSICS
9. Social sciences???Computer programs
10. Social sciences???Data processing
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09203 |
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On Shelf |
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20.
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| Title | Feature Learning and Understanding : Algorithms and Applications |
| Author(s) | Zhao, Haitao;Lai, Zhihui;Leung, Henry;Zhang, Xianyi |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | XIV, 291 p. 126 illus., 109 illus. in color : online resource |
| Abstract Note | This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence |
| ISBN,Price | 9783030407940 |
| Keyword(s) | 1. Computational Intelligence
2. Data-driven Science, Modeling and Theory Building
3. EBOOK
4. EBOOK - SPRINGER
5. ECONOPHYSICS
6. IMAGE PROCESSING
7. Image Processing and Computer Vision
8. MACHINE LEARNING
9. OPTICAL DATA PROCESSING
10. PATTERN RECOGNITION
11. SIGNAL PROCESSING
12. Signal, Image and Speech Processing
13. Sociophysics
14. Speech processing systems
|
| Item Type | eBook |
Multi-Media Links
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| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09105 |
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On Shelf |
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