Writing for Social Scientists : How to Start and Finish Your Thesis, Book, or Article / Howard S.Becker ; within a chapter by Pamela Richards.

• Record Nr.: UNINA990003236340403321
• Pubbl/distr/stampa: Chicago ; London : University of Chicago Press, 1986
• ISBN: 0-226-04108-5
• Descrizione fisica: XII, 180 p. ; 21 cm
• Disciplina: 10200
• Locazione: SES
• Collocazione: 10200 BEC
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

I rapporti internazionali in materia penale : estradizione - rogatorie - effetti delle sentenze penali straniere / Giulio Catelani

• Record Nr.: UNINA990006206260403321
• Autore: Catelani, Giulio
• Pubbl/distr/stampa: Milano : Giuffre', 1995
• Descrizione fisica: 349 p. ; 24 cm
• Disciplina: 341.77
• Locazione: FGBC; DSI; DEC
• Collocazione: XII H 69; N3 26; DI V-925
• Lingua di pubblicazione: Non definito
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

Computational diffusion MRI : 13th international workshop, CDMRI 2022, held in conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, proceedings / / editors : Suheyla Cetin-Karayumak [and six others]

• Record Nr.: UNISA996500061103316
• Pubbl/distr/stampa: Cham, Switzerland : , : Springer, , [2022]; ©2022
• ISBN: 3-031-21206-1
• Descrizione fisica: 1 online resource (156 pages)
• Collana: Lecture notes in computer science ; ; Volume 13722
• Disciplina: 616.07548
• Soggetti: Diffusion magnetic resonance imaging; Artificial intelligence; Computer vision
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Data Preprocessing -- Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders -- 1 Introduction -- 2 Methodology -- 2.1 Materials -- 2.2 Model -- 3 Results -- 3.1 DWI Assessment -- 3.2 FA and MD in Newborns -- 3.3 Qualitative Results of FA and MD in Fetuses -- 4 Conclusion -- References -- Super-Resolution of Manifold-Valued Diffusion MRI Refined by Multi-modal Imaging -- 1 Introduction -- 2 Background and Methods -- 2.1 Background -- 2.2 Proposed Method -- 3 Experiments -- 3.1 Data -- 3.2 Implementation and Training Details -- 3.3 Models and Evaluation Metrics -- 4 Results -- 4.1 Proposed Model Performance -- 4.2 Model Ablation Results -- 5 Discussion -- References -- .28em plus .1em minus .1emLossy Compression of Multidimensional Medical Images Using Sinusoidal Activation Networks: An Evaluation Study -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion and Conclusion -- References -- Correction of Susceptibility Distortion in EPI: A Semi-supervised Approach with Deep Learning -- 1 Introduction -- 2 Background -- 2.1 Distortion Model -- ; 2.2 Distortion Correction Using Image Registration -- 3 Method -- 3.1 Model Architecture -- 3.2 Models -- 4 Evaluations -- 4.1 Datasets -- 4.2 Models -- 4.3 Assessment Metrics -- 5 Results -- 6 Discussion -- 7 Conclusion -- References -- The Impact of Susceptibility Distortion Correction Protocols on Adolescent Diffusion MRI Measures -- 1 Introduction -- 2 Methods -- 2.1 Study Participants and MRI Data -- 2.2 dMRI Preprocessing and Subsampling -- 2.3 dMRI Models and Regional Measures -- 2.4 Statistics -- 3 Results -- 3.1 DTI and NODDI Map Comparisons -- 3.2 DTI and NODDI Fit Evaluations -- 3.3 GAM Age Associations -- 4 Discussion -- References -- Signal Representations.; Diffusion MRI Fibre Orientation Distribution Inpainting -- 1 Introduction -- 2 Methods -- 2.1 The Human Connectome Project Dataset -- 2.2 Data Preprocessing -- 2.3 3D FOD Inpainting Framework -- 2.4 Feature Encoding Stage -- 2.5 Order-Wise Coefficient Decoders -- 2.6 Implementation Details -- 3 Experimental Results -- 3.1 Inpainting Quality Analysis -- 3.2 Connectome Matrix Analysis -- 4 Conclusion -- References -- Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning -- 1 Introduction -- 2 Methods -- 2.1 Microstructure Model -- 2.2 Combined T1-Diffusion in Vivo Data -- 2.3 Simulated Data -- 2.4 Non-linear Least Squares Fitting -- 2.5 Self-supervised Model Fitting -- 3 Results -- 3.1 Simulated Data -- 3.2 Real Data -- 4 Discussion -- 5 Conclusion -- References -- Stepwise Stochastic Dictionary Adaptation Improves Microstructure Reconstruction with Orientation Distribution Function Fingerprinting -- 1 Introduction -- 2 Methods -- 2.1 Biophysical Diffusion Model -- 2.2 Orientation Distribution Function Fingerprinting -- 2.3 Stepwise Stochastic Adaptation of a Dictionary -- 2.4 Data -- 2.5 Evaluation -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation? -- 1 Introduction -- 2 ML Solutions to the dMRI Parameter Estimation Problem and the Theoretical Benefits of S-CNNs -- 2.1 Fully-Connected Networks -- 2.2 Spherical CNNs -- 3 Experiments -- 3.1 Experiment 1 -- 3.2 Experiment 2 -- 4 Results and Discussion -- 4.1 For Experiment 1 -- 4.2 For Experiment 2 -- 5 Conclusion -- References -- Tractography and WM Pathways -- DC2U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net -- 1 Introduction -- 2 Methods -- 2.1 Dense Criss-Cross U-Net -- 2.2 Dense Criss-Cross Attention (DCCA) Block.; 2.3 Deeply Supervised Loss Function -- 3 Experiments -- 3.1 Dataset and Implementation Details -- 3.2 Results -- 3.3 Ablation Analysis of DC2U-Net -- 4 Conclusion -- References -- Clustering in Tractography Using Autoencoders (CINTA) -- 1 Introduction -- 1.1 Related Work -- 2 Material and Methods -- 3 Experiments -- 4 Results -- 5 Discussion -- 6 Conclusion -- A Appendix -- A.1 Misclassified Streamlines -- A.2 Time Computational Requirements -- References -- Tractometric Coherence of Fiber Bundles in DTI -- 1 Introduction -- 2 Theory -- 3 Experiments -- 4 Discussion -- References -- Author Index.

Power Electronics : Converters and Regulators / / by Branko L. Dokić, Branko Blanuša

• Record Nr.: UNINA9910299669103321
• Autore: Dokić Branko L
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
• ISBN: 3-319-09402-5
• Edizione: [3rd ed. 2015.]
• Descrizione fisica: 1 online resource (608 p.)
• Disciplina: 620; 620.11295; 620.11297; 621.042; 621.317
• Soggetti: Power electronics; Optical materials; Electronics - Materials; Energy systems; Power Electronics, Electrical Machines and Networks; Optical and Electronic Materials; Energy Systems
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Chapter 1 Introduction -- Chapter 2 Diodes and Transistors -- Chapter 3 Regenerative Switches -- Chapter 4 PWM DC/DC Converters -- Chapter 5 Control Modules -- Chapter 6 DC/AC Converters – Inverters -- Chapter 7 AC/DC Converters - Rectifiers -- Chapter 8 AC/AC Converters -- Chapter 9 Resonant Converters -- Chapter 10 Introduction to Multilevel Converters.
• Sommario/riassunto: This book is the result of the extensive experience the authors gained through their year-long occupation at the Faculty of Electrical Engineering at the University of Banja Luka. Starting at the fundamental basics of electrical engineering, the book guides the reader into this field and covers all the relevant types of converters and regulators. ; Understanding is enhanced by the given examples, exercises and solutions. Thus this book can be used as a textbook for students, for self-study or as a reference book for professionals.