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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Lu, Jiqiang |
Proceedings of the 9th IRC Conference on Science, Engineering, and Technology |
I12923 |
2023 |
eBook |
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| 2 |
Onwubiko, Cyril |
Proceedings of the International Conference on Cybersecurity, Situational Awareness and Social Media |
I12867 |
2023 |
eBook |
|
| 3 |
Bufano, Filomena |
Machine Learning for Astrophysics |
I12856 |
2023 |
eBook |
|
| 4 |
Jahankhani, Hamid |
AI, Blockchain and Self-Sovereign Identity in Higher Education |
I12743 |
2023 |
eBook |
|
| 5 |
Hu, Zhengbin |
Laser Polarimetry of Biological Tissues |
I12710 |
2023 |
eBook |
|
| 6 |
Iten, Raban |
Artificial Intelligence for Scientific Discoveries |
I12704 |
2023 |
eBook |
|
| 7 |
Ahmed, Mohiuddin |
Cybersecurity for Smart Cities |
I12689 |
2023 |
eBook |
|
| 8 |
Geng, Zheqiao |
Intelligent Beam Control in Accelerators |
I12645 |
2023 |
eBook |
|
| 9 |
Andrews, Michael |
Search for Exotic Higgs Boson Decays to Merged Diphotons |
I12623 |
2023 |
eBook |
|
| 10 |
Arzmi, Mohd Hafiz |
Deep Learning in Cancer Diagnostics |
I12588 |
2023 |
eBook |
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| Title | Proceedings of the 9th IRC Conference on Science, Engineering, and Technology : IRC-SET 2023; 19-August, Singapore |
| Author(s) | Lu, Jiqiang;Guo, Huaqun;McLoughlin, Ian;Chekole, Eyasu Getahun;Lakshmanan, Umayal;Meng, Weizhi;Wang, Peng Cheng;Heng Loong Wong, Nicholas |
| Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2023. |
| Description | XVIII, 607 p. 454 illus., 403 illus. in color : online resource |
| Abstract Note | This book highlights the contemporary state of research in multidisciplinary areas of Computer Science, Computer Engineering, Data Science, Electrical and Electronics Engineering, Chemical Engineering, Mechanical Engineering, Physics, Biomedical Sciences, Life Sciences, Medicine, Healthcare, and Business Technology. The accepted submissions to the 9th IRC Conference on Science, Engineering and Technology (IRC-SET 2023) presented on 19 August 2023 are published in this conference proceedings. The papers presented here were shortlisted after extensive rounds of rigorous reviews by a panel of esteemed individuals who are pioneers and experts in their respective domains |
| ISBN,Price | 9789819983698 |
| Keyword(s) | 1. Applied and Technical Physics
2. ARTIFICIAL INTELLIGENCE
3. Biomaterials
4. Biomedical Devices and Instrumentation
5. Biomedical engineering
6. Biomedical Engineering and Bioengineering
7. EBOOK - SPRINGER
8. Nanoengineering
9. NANOTECHNOLOGY
10. PHYSICS
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| Item Type | eBook |
Multi-Media Links
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| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12923 |
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| Title | Proceedings of the International Conference on Cybersecurity, Situational Awareness and Social Media : Cyber Science 2022; 20???21 June; Wales |
| Author(s) | Onwubiko, Cyril;Rosati, Pierangelo;Rege, Aunshul;Erola, Arnau;Bellekens, Xavier;Hindy, Hanan;Jaatun, Martin Gilje |
| Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2023. |
| Description | XXVI, 476 p. 113 illus., 97 illus. in color : online resource |
| Abstract Note | This book highlights advances in Cyber Security, Cyber Situational Awareness (CyberSA), Artificial Intelligence (AI) and Social Media. It brings together original discussions, ideas, concepts and outcomes from research and innovation from multidisciplinary experts. It offers topical, timely and emerging original innovations and research results in cyber situational awareness, security analytics, cyber physical systems, blockchain technologies, machine learning, social media and wearables, protection of online digital service, cyber incident response, containment, control, and countermeasures (CIRC3). The theme of Cyber Science 2022 is Ethical and Responsible use of AI. Includes original contributions advancing research in Artificial Intelligence, Machine Learning, Blockchain, Cyber Security, Social Media, Cyber Incident Response & Cyber Insurance. Chapters ???Municipal Cybersecurity???A Neglected Research Area? A Survey of Current Research", "The Transnational Dimensionof Cybersecurity: The NIS Directive and its Jurisdictional Challenges" and "Refining the Mandatory Cybersecurity Incident Reporting under the NIS Directive 2.0: Event Types and Reporting Processes??? are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com |
| ISBN,Price | 9789811964145 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. Blockchain
3. Blockchains (Databases)
4. COMPLEX SYSTEMS
5. Computer crimes
6. Cooperating objects (Computer systems)
7. Cyber-Physical Systems
8. Cybercrime
9. EBOOK - SPRINGER
10. Security Science and Technology
11. Security systems
12. SYSTEM THEORY
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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 |
| I12867 |
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On Shelf |
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3.
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| Title | Machine Learning for Astrophysics : Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022 |
| Author(s) | Bufano, Filomena;Riggi, Simone;Sciacca, Eva;Schilliro, Francesco |
| Publication | Cham, 1. Imprint: Springer
2. Springer International Publishing, 2023. |
| Description | XIV, 211 p. 52 illus., 47 illus. in color : online resource |
| Abstract Note | This book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community and gives the reader a complete overview of the field. The contributed chapters allow the reader to easily digest the material through balanced theoretical and numerical methods and tools with applications in different fields of theoretical and observational astronomy. The book helps the reader to really understand and quantify both the opportunities and limitations of using machine learning in several fields of astrophysics |
| ISBN,Price | 9783031341670 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. ASTRONOMY
3. Astronomy, Observations and Techniques
4. ASTROPHYSICS
5. EBOOK - SPRINGER
6. MACHINE LEARNING
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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 |
| I12856 |
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On Shelf |
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4.
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| Title | AI, Blockchain and Self-Sovereign Identity in Higher Education |
| Author(s) | Jahankhani, Hamid;Jamal, Arshad;Brown, Guy;Sainidis, Eustathios;Fong, Rose;Butt, Usman J |
| Publication | Cham, 1. Imprint: Springer
2. Springer Nature Switzerland, 2023. |
| Description | VI, 313 p. 151 illus., 132 illus. in color : online resource |
| Abstract Note | This book aims to explore the next generation of online learning challenges including the security and privacy issues of digital transformation strategies that is required in teaching and learning. Also, what efforts does the industry need to invest in changing mind-sets and behaviours of both students and faculty members in adoption of virtual and blended learning? The book provides a comprehensive coverage of not only the technical and ethical issues presented by the use of AI, blockchain and self-sovereign identity, but also the adversarial application of AI and its associated implications. The authors recommend a number of novel approaches to assist in better detecting, thwarting and addressing AI challenges in higher education. The book provides a valuable reference for cyber security experts and practitioners, network security professionals and higher education strategist and decision-makers. It is also aimed at researchers seeking to obtain a more profound knowledge of machine learning and deep learning in the context of cyber security and AI in higher education. Each chapter is written by an internationally renowned expert who has extensive experience in industry or academia. Furthermore, this book blends advanced research findings with practice-based methods to provide the reader with advanced understanding and relevant skills |
| ISBN,Price | 9783031336270 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. COMPUTER NETWORKS
3. Data and Information Security
4. Data protection
5. EBOOK - SPRINGER
6. Education, Higher
7. HIGHER EDUCATION
8. Mobile and Network Security
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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 |
| I12743 |
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On Shelf |
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5.
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| Title | Laser Polarimetry of Biological Tissues : Computer Algorithms for Data Processing in Forensic Age Determination of Injuries |
| Author(s) | Hu, Zhengbin;Bezhenar, I.L;Vanchulyak, O.Y;Ushenko, A. G;Ushenko, Yu. A;Gorsky, Mykhailo P;Meglinski, Igor |
| Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2023. |
| Description | XII, 99 p. 62 illus., 36 illus. in color : online resource |
| Abstract Note | This book highlights the results of numerical computer-aided smart methods as part of a comprehensive statistical, correlated, and fractal analysis of laser polarimetry. It includes a comprehensive approach to differentiation of lifelong or postmortem origin of injuries and determination of their antiquity based on the analysis of statistical and spatiotemporal frequency evolution of photometric, polarization, and phase parameters of laser images of histological sections of the skin of biomannequins. It discusses the relationship between the coordinate distributions of the intensity of laser images from skin tissues of biomannequins and the nature of its damage. It presents the analysis of relationships between changes in the mean and variance of coordinate distributions of azimuths and ellipticity of polarization images of histological skin sections and the time intervals after injury. Complex differentiation of lifelong and postmortem skin injuries of biomannequins and establishment of their time intervals throughout the entire monitoring interval of changes in the mean and variance of coordinate distributions of phase shifts between orthogonal components of the amplitude of laser images of a series of corresponding histological sections are also presented in this book |
| ISBN,Price | 9789819917341 |
| Keyword(s) | 1. ALGORITHMS
2. APPLIED OPTICS
3. ARTIFICIAL INTELLIGENCE
4. DATA SCIENCE
5. EBOOK - SPRINGER
6. Forensic Medicine
7. Medical jurisprudence
8. Medical physics
9. OPTICS
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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 |
| I12710 |
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On Shelf |
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6.
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| Title | Artificial Intelligence for Scientific Discoveries : Extracting Physical Concepts from Experimental Data Using Deep Learning |
| Author(s) | Iten, Raban |
| Publication | Cham, 1. Imprint: Springer
2. Springer International Publishing, 2023. |
| Description | XIII, 170 p. 38 illus., 37 illus. in color : online resource |
| Abstract Note | Will research soon be done by artificial intelligence, thereby making human researchers superfluous? This book explains modern approaches to discovering physical concepts with machine learning and elucidates their strengths and limitations. The automation of the creation of experimental setups and physical models, as well as model testing are discussed. The focus of the book is the automation of an important step of the model creation, namely finding a minimal number of natural parameters that contain sufficient information to make predictions about the considered system. The basic idea of this approach is to employ a deep learning architecture, SciNet, to model a simplified version of a physicist's reasoning process. SciNet finds the relevant physical parameters, like the mass of a particle, from experimental data and makes predictions based on the parameters found. The author demonstrates how to extract conceptual information from such parameters, e.g., Copernicus' conclusion that the solar system is heliocentric. |
| ISBN,Price | 9783031270192 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. Data Analysis and Big Data
3. DATA SCIENCE
4. EBOOK - SPRINGER
5. MATHEMATICAL PHYSICS
6. Quantitative research
7. Theoretical, Mathematical and Computational Physics
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| Item Type | eBook |
Multi-Media Links
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Circulation Data
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Call# | Status | Issued To | Return Due On | Physical Location |
| I12704 |
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On Shelf |
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7.
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| Title | Cybersecurity for Smart Cities : Practices and Challenges |
| Author(s) | Ahmed, Mohiuddin;Haskell-Dowland, Paul |
| Publication | Cham, 1. Imprint: Springer
2. Springer International Publishing, 2023. |
| Description | XII, 204 p. 30 illus., 21 illus. in color : online resource |
| Abstract Note | Ensuring cybersecurity for smart cities is crucial for a sustainable cyber ecosystem. Given the undeniable complexity of smart cities, fundamental issues such as device configurations and software updates should be addressed when it is most needed to fight cyber-crime and ensure data privacy. This book addresses the cybersecurity challenges associated with smart cities, aiming to provide a bigger picture of the concepts, intelligent techniques, practices and research directions in this area. Furthermore, this book serves as a single source of reference for acquiring knowledge on the technology, processes and people involved in the next-generation of cyber-smart cities |
| ISBN,Price | 9783031249464 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. Data Analysis and Big Data
3. EBOOK - SPRINGER
4. Internet of things
5. Quantitative research
6. Security Science and Technology
7. Security systems
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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 |
| I12689 |
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On Shelf |
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8.
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| Title | Intelligent Beam Control in Accelerators |
| Author(s) | Geng, Zheqiao;Simrock, Stefan |
| Publication | Cham, 1. Imprint: Springer
2. Springer International Publishing, 2023. |
| Description | XIV, 155 p. 78 illus., 63 illus. in color : online resource |
| Abstract Note | This book systematically discusses the algorithms and principles for achieving stable and optimal beam (or products of the beam) parameters in particle accelerators. A four-layer beam control strategy is introduced to structure the subsystems related to beam controls, such as beam device control, beam feedback, and beam optimization. This book focuses on the global control and optimization layers. As a basis of global control, the beam feedback system regulates the beam parameters against disturbances and stabilizes them around the setpoints. The global optimization algorithms, such as the robust conjugate direction search algorithm, genetic algorithm, and particle swarm optimization algorithm, are at the top layer, determining the feedback setpoints for optimal beam qualities. In addition, the authors also introduce the applications of machine learning for beam controls. Selected machine learning algorithms, such as supervised learning based on artificial neural networks and Gaussian processes, and reinforcement learning, are discussed. They are applied to configure feedback loops, accelerate global optimizations, and directly synthesize optimal controllers. Authors also demonstrate the effectiveness of these algorithms using either simulation or tests at the SwissFEL. With this book, the readers gain systematic knowledge of intelligent beam controls and learn the layered architecture guiding the design of practical beam control systems |
| ISBN,Price | 9783031285974 |
| Keyword(s) | 1. Accelerator Physics
2. ARTIFICIAL INTELLIGENCE
3. EBOOK - SPRINGER
4. MEASUREMENT
5. Measurement Science and Instrumentation
6. MEASURING INSTRUMENTS
7. PARTICLE ACCELERATORS
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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 |
| I12645 |
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On Shelf |
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9.
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| Title | Search for Exotic Higgs Boson Decays to Merged Diphotons : A Novel CMS Analysis Using End-to-End Deep Learning |
| Author(s) | Andrews, Michael |
| Publication | Cham, 1. Imprint: Springer
2. Springer Nature Switzerland, 2023. |
| Description | XIII, 188 p. 87 illus., 77 illus. in color : online resource |
| Abstract Note | This book describes the first application at CMS of deep learning algorithms trained directly on low-level, ???raw??? detector data, or so-called end-to-end physics reconstruction. Growing interest in searches for exotic new physics in the CMS collaboration at the Large Hadron Collider at CERN has highlighted the need for a new generation of particle reconstruction algorithms. For many exotic physics searches, sensitivity is constrained not by the ability to extract information from particle-level data but by inefficiencies in the reconstruction of the particle-level quantities themselves. The technique achieves a breakthrough in the reconstruction of highly merged photon pairs that are completely unresolved in the CMS detector. This newfound ability is used to perform the first direct search for exotic Higgs boson decays to a pair of hypothetical light scalar particles H???aa, each subsequently decaying to a pair of highly merged photons a???yy, an analysis once thought impossible to perform. The book concludes with an outlook on potential new exotic searches made accessible by this new reconstruction paradigm |
| ISBN,Price | 9783031250910 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. EBOOK - SPRINGER
3. Elementary particles (Physics)
4. Elementary Particles, Quantum Field Theory
5. PARTICLE PHYSICS
6. PARTICLES (NUCLEAR PHYSICS)
7. QUANTUM FIELD THEORY
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| Item Type | eBook |
Multi-Media Links
media link description
Circulation Data
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Call# | Status | Issued To | Return Due On | Physical Location |
| I12623 |
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On Shelf |
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10.
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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
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Call# | Status | Issued To | Return Due On | Physical Location |
| I12588 |
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On Shelf |
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