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Author | Title | Accn# | Year | Item Type | Claims |
1 |
Hu, Zhengbin |
Laser Polarimetry of Biological Tissues |
I12710 |
2023 |
eBook |
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2 |
Iten, Raban |
Artificial Intelligence for Scientific Discoveries |
I12704 |
2023 |
eBook |
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3 |
Mudenagudi, Uma |
Proceedings of the Satellite Workshops of ICVGIP 2021 |
I12343 |
2022 |
Book |
|
4 |
Pacheco, Diogo |
Complex Networks XIII |
I12265 |
2022 |
Book |
|
5 |
Lapucci, Massimo |
Data Science for Social Good |
I11857 |
2021 |
eBook |
|
6 |
Teixeira, Andreia Sofia |
Complex Networks XII |
I11769 |
2021 |
eBook |
|
7 |
Hadley Wickham |
R packages: Organize, Test, Document, and Share Your Code |
026225 |
2015 |
Book |
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1.
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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
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Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I12710 |
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On Shelf |
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2.
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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
media link description
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Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I12704 |
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On Shelf |
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3.
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Title | Proceedings of the Satellite Workshops of ICVGIP 2021 |
Author(s) | Mudenagudi, Uma;Nigam, Aditya;Sarvadevabhatla, Ravi Kiran;Choudhary, Ayesha |
Publication | Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2022. |
Description | VII, 264 p. 113 illus., 93 illus. in color : online resource |
Abstract Note | This book constitutes peer-reviewed proceedings of satellite workshops of the 12th Indian Conference on Computer Vision, Graphics, and Image Processing (ICVGIP 2021). The book focuses on medical image processing, digital heritage, document analysis and recognition, and computer vision applications. The first part includes submissions on digital archiving and restoration methods with interesting and innovative research components. The second part focuses on medical imaging modalities including MRI, X-ray, CT, imaging in nuclear medicine, medical ultrasound, optical and confocal microscopy, and video and range data images. The third part deals with document analysis and recognition and focuses on text recognition, document layout analysis, understanding, historical and degraded document analysis, datasets, performance evaluation, metrics, etc. The fourth part of this book includes research work from academia and industry across the globe on smart, innovative, and practical applications of computer vision for industrial and societal impact. This book shares innovative ideas, experience and expertise, and ongoing research ideas and will be helpful for researchers and practitioners in academia and industry |
ISBN,Price | 9789811941368 |
Keyword(s) | 1. Artificial intelligence???Data processing
2. Computer Imaging, Vision, Pattern Recognition and Graphics
3. COMPUTER VISION
4. DATA SCIENCE
5. Digital and Analog Signal Processing
6. EBOOK
7. EBOOK - SPRINGER
8. Image processing???Digital techniques
9. SIGNAL PROCESSING
10. Signal, Speech and Image Processing
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Item Type | Book |
Multi-Media Links
Please Click here for eBook
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Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
I12343 |
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On Shelf |
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4.
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Title | Complex Networks XIII : Proceedings of the 13th Conference on Complex Networks, CompleNet 2022 |
Author(s) | Pacheco, Diogo;Teixeira, Andreia Sofia;Barbosa, Hugo;Menezes, Ronaldo;Mangioni, Giuseppe |
Publication | Cham, 1. Imprint: Springer
2. Springer International Publishing, 2022. |
Description | IX, 122 p. 43 illus., 39 illus. in color : online resource |
Abstract Note | This book contains contributions presented at the 13th International Conference on Complex Networks (CompleNet), April 19???22, 2022. CompleNet is an international conference on complex networks that brings 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. CompleNet is a venue to discuss ideas and findings about all types of networks, from biological to technological and to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate |
ISBN,Price | 9783031176586 |
Keyword(s) | 1. Artificial intelligence???Data processing
2. COMPLEX SYSTEMS
3. COMPUTER SCIENCE
4. DATA SCIENCE
5. EBOOK
6. EBOOK - SPRINGER
7. GRAPH THEORY
8. Network Research
9. Social sciences???Network analysis
10. SYSTEM THEORY
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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 |
I12265 |
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On Shelf |
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5.
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Title | Data Science for Social Good : Philanthropy and Social Impact in a Complex World |
Author(s) | Lapucci, Massimo;Cattuto, Ciro |
Publication | Cham, Springer International Publishing, 2021. |
Description | XII, 99 p. 5 illus., 3 illus. in color : online resource |
Abstract Note | This book is a collection of reflections by thought leaders at first-mover organizations in the exploding field of "Data Science for Social Good", meant as the application of knowledge from computer science, complex systems and computational social science to challenges such as humanitarian response, public health, sustainable development. The book provides both an overview of scientific approaches to social impact ??? identifying a social need, targeting an intervention, measuring impact ??? and the complementary perspective of funders and philanthropies that are pushing forward this new sector. This book will appeal to students and researchers in the rapidly growing field of data science for social impact, to data scientists at companies whose data could be used to generate more public value, and to decision makers at nonprofits, foundations, and agencies that are designing their own agenda around data |
ISBN,Price | 9783030789855 |
Keyword(s) | 1. Artificial intelligence???Data processing
2. COMPLEX SYSTEMS
3. DATA SCIENCE
4. EBOOK
5. EBOOK - SPRINGER
6. Public health
7. 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 |
I11857 |
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On Shelf |
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6.
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Title | Complex Networks XII : Proceedings of the 12th Conference on Complex Networks CompleNet 2021 |
Author(s) | Teixeira, Andreia Sofia;Pacheco, Diogo;Oliveira, Marcos;Barbosa, Hugo;Gon??alves, Bruno;Menezes, Ronaldo |
Publication | Cham, Springer International Publishing, 2021. |
Description | VIII, 133 p. 48 illus., 40 illus. in color : online resource |
Abstract Note | This book contains contributions presented at the 12th International Conference on Complex Networks (CompleNet), 24-26 May 2021. CompleNet is an international conference on complex networks that brings 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. CompleNet is a venue to discuss ideas and findings about all types 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 | 9783030818548 |
Keyword(s) | 1. Artificial intelligence???Data processing
2. COMPLEX SYSTEMS
3. COMPUTER SCIENCE
4. DATA SCIENCE
5. EBOOK
6. EBOOK - SPRINGER
7. GRAPH THEORY
8. 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 |
I11769 |
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On Shelf |
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