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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Wang, Yiqian |
Liutex and Third Generation of Vortex Identification |
I12680 |
2023 |
eBook |
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| 2 |
Ren, Hongliang |
Deployable Multimodal Machine Intelligence |
I12600 |
2023 |
eBook |
|
| 3 |
Arzmi, Mohd Hafiz |
Deep Learning in Cancer Diagnostics |
I12588 |
2023 |
eBook |
|
| 4 |
Volchenkov, Dimitri |
Mathematical Methods in Modern Complexity Science |
I12384 |
2022 |
Book |
|
| 5 |
Uncini, Aurelio |
Digital Audio Processing Fundamentals |
I12272 |
2022 |
Book |
|
| 6 |
Bhatawdekar, Ramesh M |
Environmental Issues of Blasting |
I11955 |
2021 |
eBook |
|
| 7 |
Huang, Haiping |
Statistical Mechanics of Neural Networks |
I11949 |
2021 |
eBook |
|
| 8 |
Ahrweiler, Petra |
Advances in Social Simulation |
I11751 |
2021 |
eBook |
|
| 9 |
Zelinka, Ivan |
Intelligent Astrophysics |
I11743 |
2021 |
eBook |
|
| 10 |
Kulasiri, Don |
Chemical Master Equation for Large Biological Networks |
I11686 |
2021 |
eBook |
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1.
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| Title | Liutex and Third Generation of Vortex Identification : Workshop from Aerospace and Aeronautics World Forum 2021 |
| Author(s) | Wang, Yiqian;Gao, Yisheng;Liu, Chaoqun |
| Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2023. |
| Description | XXXII, 403 p. 253 illus., 232 illus. in color : online resource |
| Abstract Note | This proceedings highlights the applications of the newly introduced physical quantity Liutex in hydrodynamics and aerodynamics. Liutex is used to represent the fascinating rotational motion of fluids, i.e., the vortex. Ubiquitously seen in nature and engineering applications, the definition of vortices has been elusive. The Liutex vector provides a unique and systematic description of vortices. The proceedings collects papers presented in the invited workshop "Liutex and Third Generation of Vortex Identification for Engineering Applications" from Aerospace and Aeronautics World Forum 2021. The papers in this book cover both the theoretical aspects of Liutex and many applications in hydrodynamics and aerodynamics. The proceedings is a good reference for researchers in fluid mechanics who are interested in learning about the wide scope of applications of Liutex and using it to develop a new understanding of their research subjects |
| ISBN,Price | 9789811989551 |
| Keyword(s) | 1. Aerospace engineering
2. Aerospace Technology and Astronautics
3. ASTRONAUTICS
4. Computational Intelligence
5. CONTINUUM MECHANICS
6. EBOOK - SPRINGER
7. Engineering Fluid Dynamics
8. FLUID MECHANICS
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| Item Type | eBook |
Multi-Media Links
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| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12680 |
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2.
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| Title | Deployable Multimodal Machine Intelligence : Applications in Biomedical Engineering |
| Author(s) | Ren, Hongliang |
| Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2023. |
| Description | XVII, 546 p. 575 illus., 526 illus. in color : online resource |
| Abstract Note | This book highlights the principles, design and characterization of mechanically compliant soft and foldable robots. Traditional rigid robots with bulky footprints and complicated components prolong the design iteration and optimization for keyhole and minimally invasive transluminal applications. Therefore, there is an interest in developing soft and foldable robots with remote actuation, multimodal sensing and machine intelligence. This book discusses the use of foldable and cuttable structures to design biomimetic deployable soft robots, that can exhibit a fair number of motions with consistency and repeatability. It presents the overall design principles, methodology, instrumentation, metamorphic sensing, multi-modal perception, and machine intelligence for creating untethered foldable active structures. These robotic structures can generate a variety of motions such as wave induction, compression, inchworm, peristalsis, flipping, tumbling, walking, swimming, flexion/extension etc.Remote actuation can control motions along regular and irregular surfaces from proximal sides. For self-deployable medical robots, motion diversity and shape reconfiguration are crucial factors. Deployable robots, with the use of malleable and resilient smart actuators, hold this crucial advantage over their conventional rigid robot counterparts. Such flexible structures capable of being compressed and expanded with intelligence perceptions hold enormous potential in biomedical applications |
| ISBN,Price | 9789811959325 |
| Keyword(s) | 1. AUTOMATION
2. Biomedical engineering
3. Biomedical Engineering and Bioengineering
4. Computational Intelligence
5. Control engineering
6. Control, Robotics, Automation
7. EBOOK - SPRINGER
8. Medical physics
9. Nanoelectromechanical systems
10. Nanoscale Devices
11. ROBOTICS
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| Item Type | eBook |
Multi-Media Links
media link description
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12600 |
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On Shelf |
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3.
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| Title | Deep Learning in Cancer Diagnostics : A Feature-based Transfer Learning Evaluation |
| Author(s) | Arzmi, Mohd Hafiz;P. P. Abdul Majeed, Anwar;Muazu Musa, Rabiu;Mohd Razman, Mohd Azraai;Gan, Hong-Seng;Mohd Khairuddin, Ismail;Ab. Nasir, Ahmad Fakhri |
| Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2023. |
| Description | X, 34 p. 13 illus., 11 illus. in color : online resource |
| Abstract Note | Cancer is the leading cause of mortality in most, if not all, countries around the globe. It is worth noting that the World Health Organisation (WHO) in 2019 estimated that cancer is the primary or secondary leading cause of death in 112 of 183 countries for individuals less than 70 years old, which is alarming. In addition, cancer affects socioeconomic development as well. The diagnostics of cancer are often carried out by medical experts through medical imaging; nevertheless, it is not without misdiagnosis owing to a myriad of reasons. With the advancement of technology and computing power, the use of state-of-the-art computational methods for the accurate diagnosis of cancer is no longer far-fetched. In this brief, the diagnosis of four types of common cancers, i.e., breast, lung, oral and skin, are evaluated with different state-of-the-art feature-based transfer learning models. It is expected that the findings in this book are insightful to various stakeholders in the diagnosis of cancer |
| ISBN,Price | 9789811989377 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. CANCER
3. Cancer Imaging
4. Computational Intelligence
5. EBOOK - SPRINGER
6. Medical physics
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| Item Type | eBook |
Multi-Media Links
media link description
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12588 |
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On Shelf |
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4.
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| Title | Mathematical Methods in Modern Complexity Science |
| Author(s) | Volchenkov, Dimitri;Tenreiro Machado, J. A |
| Publication | Cham, 1. Imprint: Springer
2. Springer International Publishing, 2022. |
| Description | X, 197 p. 94 illus., 69 illus. in color : online resource |
| Abstract Note | This book presents recent developments in nonlinear and complex systems. It provides recent theoretic developments and new techniques based on a nonlinear dynamical systems approach that can be used to model and understand complex behavior in nonlinear dynamical systems. It covers information theory, relativistic chaotic dynamics, data analysis, relativistic chaotic dynamics, solvability issues in integro-differential equations, and inverse problems for parabolic differential equations, synchronization and chaotic transient. Presents new concepts for understanding and modeling complex systems |
| ISBN,Price | 9783030794125 |
| Keyword(s) | 1. Applied Dynamical Systems
2. Computational Intelligence
3. DYNAMICS
4. EBOOK
5. EBOOK - SPRINGER
6. ENGINEERING MATHEMATICS
7. Engineering???Data processing
8. Mathematical and Computational Engineering Applications
9. MATHEMATICAL PHYSICS
10. NONLINEAR THEORIES
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| Item Type | Book |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12384 |
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On Shelf |
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5.
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| Title | Digital Audio Processing Fundamentals |
| Author(s) | Uncini, Aurelio |
| Publication | Cham, 1. Imprint: Springer
2. Springer International Publishing, 2022. |
| Description | XVI, 716 p. 533 illus., 413 illus. in color : online resource |
| Abstract Note | The book provides an accessible overview of audio signal processing, and enables readers to design and write algorithms for the analysis, synthesis, and manipulation of musical and acoustic signals for any programming language. It provides an overview of highly interdisciplinary topics developed in a simple but rigorous way, and described in a unified and formal language which focuses on determining discrete-time audio signal models. Readers can find within a self-contained volume basic topics ranging over different disciplines: mechanical acoustics, physical systems and linear and nonlinear models, with lumped and distributed parameters; described and developed with the same level of mathematical formalism, easy to understand and oriented to the development of algorithms. Topics include the fundamental concepts of acoustic mechanics and vibration; the design of filters and equalizers for sound signals, the so-called audio effects, abstract methods of sound synthesis, and finally, methods of synthesis by physical modeling |
| ISBN,Price | 9783031142284 |
| Keyword(s) | 1. ACOUSTICS
2. Computational Intelligence
3. EBOOK
4. EBOOK - SPRINGER
5. Mathematical Models of Cognitive Processes and Neural Networks
6. Neural networks (Computer science)??
7. SIGNAL PROCESSING
8. Speech and Audio Processing
9. Speech processing systems
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| Item Type | Book |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12272 |
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On Shelf |
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6.
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| Title | Environmental Issues of Blasting : Applications of Artificial Intelligence Techniques |
| Author(s) | Bhatawdekar, Ramesh M;Armaghani, Danial Jahed;Azizi, Aydin |
| Publication | Singapore, Springer Nature Singapore, 2021. |
| Description | IX, 77 p. 9 illus., 8 illus. in color : online resource |
| Abstract Note | This book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. Blasting is a critical activity in any mining or civil engineering project for breaking down hard rock masses. A small amount of explosive energy is only used during blasting to fracture rock in order to achieve the appropriate fragmentation, throw, and development of muck pile. The surplus energy is transformed into unfavourable environmental effects such as back-break, flyrock, air overpressure, and ground vibration. The advancement of artificial intelligence and machine learning techniques has increased the accuracy of predicting these environmental impacts of blasting. This book discusses the effective application of these strategies in forecasting, mitigating, and regulating the aforementioned blasting environmental hazards |
| ISBN,Price | 9789811682377 |
| Keyword(s) | 1. Computational Intelligence
2. EBOOK
3. EBOOK - SPRINGER
4. Engineering geology
5. ENVIRONMENTAL MANAGEMENT
6. Geoengineering
7. GEOPHYSICS
8. Geotechnical engineering
9. Geotechnical Engineering and Applied Earth Sciences
10. MACHINE LEARNING
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| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11955 |
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On Shelf |
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7.
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| Title | Statistical Mechanics of Neural Networks |
| Author(s) | Huang, Haiping |
| Publication | Singapore, Springer Nature Singapore, 2021. |
| Description | XVIII, 296 p. 62 illus., 40 illus. in color : online resource |
| Abstract Note | This book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks. The book discusses in details important concepts and techniques including the cavity method, the mean-field theory, replica techniques, the Nishimori condition, variational methods, the dynamical mean-field theory, unsupervised learning, associative memory models, perceptron models, the chaos theory of recurrent neural networks, and eigen-spectrums of neural networks, walking new learners through the theories and must-have skillsets to understand and use neural networks. The book focuses on quantitative frameworks of neural network models where the underlying mechanisms can be precisely isolated by physics of mathematical beauty and theoretical predictions. It is a good reference for students, researchers, and practitioners in the area of neural networks |
| ISBN,Price | 9789811675706 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. Computational Intelligence
3. EBOOK
4. EBOOK - SPRINGER
5. Mathematical Models of Cognitive Processes and Neural Networks
6. Neural networks (Computer science)??
7. STATISTICAL MECHANICS
8. STATISTICAL PHYSICS
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| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11949 |
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On Shelf |
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8.
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| Title | Advances in Social Simulation : Proceedings of the 15th Social Simulation Conference: 23???27 September 2019 |
| Author(s) | Ahrweiler, Petra;Neumann, Martin |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | XXII, 603 p. 140 illus., 108 illus. in color : online resource |
| Abstract Note | This book presents the state of the art in social simulation as presented at the Social Simulation Conference 2019 in Mainz, Germany. It covers the developments in applications and methods of social simulation, addressing societal issues such as socio-ecological systems and policymaking. Methodological issues discussed include large-scale empirical calibration, model sharing and interdisciplinary research, as well as decision-making models, validation and the use of qualitative data in simulation modeling. Research areas covered include archaeology, cognitive science, economics, organization science and social simulation education. This book gives readers insight into the increasing use of social simulation in both its theoretical development and in practical applications such as policymaking whereby modeling and the behavior of complex systems is key. The book appeals to students, researchers and professionals in the various fields. |
| ISBN,Price | 9783030615031 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. Computational Intelligence
3. Computational Physics and Simulations
4. COMPUTER SIMULATION
5. EBOOK
6. EBOOK - SPRINGER
7. MATHEMATICAL PHYSICS
8. SYSTEM THEORY
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| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11751 |
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On Shelf |
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9.
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| Title | Intelligent Astrophysics |
| Author(s) | Zelinka, Ivan;Brescia, Massimo;Baron, Dalya |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | VIII, 296 p. 126 illus., 108 illus. in color : online resource |
| Abstract Note | This present book discusses the application of the methods to astrophysical data from different perspectives. In this book, the reader will encounter interesting chapters that discuss data processing and pulsars, the complexity and information content of our universe, the use of tessellation in astronomy, characterization and classification of astronomical phenomena, identification of extragalactic objects, classification of pulsars and many other interesting chapters. The authors of these chapters are experts in their field and have been carefully selected to create this book so that the authors present to the community a representative publication that shows a unique fusion of artificial intelligence and astrophysics. |
| ISBN,Price | 9783030658670 |
| Keyword(s) | 1. ASTROPHYSICS
2. Computational Intelligence
3. Data Engineering
4. EBOOK
5. EBOOK - SPRINGER
6. Engineering???Data processing
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| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11743 |
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On Shelf |
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10.
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| Title | Chemical Master Equation for Large Biological Networks : State-space Expansion Methods Using AI |
| Author(s) | Kulasiri, Don;Kosarwal, Rahul |
| Publication | Singapore, Springer Nature Singapore, 2021. |
| Description | XVIII, 217 p. 372 illus., 104 illus. in color : online resource |
| Abstract Note | This book highlights the theory and practical applications of the chemical master equation (CME) approach for very large biochemical networks, which provides a powerful general framework for model building in a variety of biological networks. The aim of the book is to not only highlight advanced numerical solution methods for the CME, but also reveal their potential by means of practical examples. The case studies presented are mainly from biology; however, the applications from novel methods are discussed comprehensively, underlining the interdisciplinary approach in simulation and the potential of the chemical master equation approach for modelling bionetworks. The book is a valuable guide for researchers, graduate students, and professionals alike |
| ISBN,Price | 9789811653513 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. BIOINFORMATICS
3. BIOMATHEMATICS
4. Computational and Systems Biology
5. Computational Intelligence
6. Computational Physics and Simulations
7. COMPUTER SIMULATION
8. EBOOK
9. EBOOK - SPRINGER
10. Mathematical and Computational Biology
11. MATHEMATICAL PHYSICS
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| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11686 |
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On Shelf |
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