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1. Digital Transformation of Identity in the Age of Artificial Intelligence. 1st ed. 2020
by Kazuhiko Shibuya
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-981-15-2248-2
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1. Digital Social Science
2. Investigating Identity
3. Identity Ambiguity
4. Identity Valuation
5. Identity Protection
6. Identity Proof
7. Identity Deception
8. Social Identification
9. Collective Identity
10. Networked Identity
11. Identity Health
12. Identity History
13. General Discussion
14. Conclusion
1. Digital Social Science
2. Investigating Identity
3. Identity Ambiguity
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2. Fundamentals of Data Analytics : With a View to Machine Learning. 1st ed. 2020
by Rudolf Mathar, Gholamreza Alirezaei, Emilio Balda, Arash Behboodi
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-56831-3
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1 Introduction
2 Prerequisites from Matrix Analysis
3 Multivariate Distributions and Moments
4 Dimensionality Reduction
5 Classification and Clustering
6 Support Vector Machines
7 Machine Learning
Index
1 Introduction
2 Prerequisites from Matrix Analysis
3 Multivariate Distributions and Moments
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3. Optimization and Applications : 11th International Conference, OPTIMA 2020, Moscow, Russia, September 28 – October 2, 2020, Proceedings. 1st ed. 2020
edited by Nicholas Olenev, Yuri Evtushenko, Michael Khachay, Vlasta Malkova
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Theoretical Computer Science and General Issues ; 12422
オンライン: https://doi.org/10.1007/978-3-030-62867-3
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Optimization of the Values of the Right-Hand Sides of Boundary Conditions with Point and Integral Terms for the ODE System
Saddle-Point Method in Terminal Control with Sections in Phase Constraints
Pricing in Dynamic Marketing: the Cases of Piece-Wise Constant Sale and Retail Discounts
The Generalized Algorithms of Global Parametric Optimization and Stochastization for Dynamical Models of Interconnected Populations
On Solving a Generalized Constrained Longest Common Subsequence Problem
Optimization Problems in Tracking Control Design for an Underactuated Ship with Feedback Delay, State and Control Constraints
Theorems of Alternative and Optimization
P-Regularity Theory: Applications to Optimization
A Given Diameter MST on a Random Graph
Method of Parametric Correction in Data Transformation and Approximation Problems
On the Use of Decision Diagrams for Finding Repetition-Free Longest Common Subsequences
Distributing Battery Swapping Stations for Electric Scooters in an Urban Area
Optimal Combination of Tensor Optimization Methods
Nonlinear Least Squares Solver for Evaluating Canonical Tensor Decomposition
PCGLNS: a Heuristic Solver for the Precedence Constrained Generalized Traveling Salesman Problem
Simultaneous Detection and Discrimination of Subsequences which are Nonlinearly Extended Elements of the Given Sequences Alphabet in a Quasiperiodic Sequence
Lurie Systems Stability Approach for Attraction Domain Estimation in the Wheeled Robot Control Problem
Penalty-Based Method for Decentralized Optimization Over Time-Varying Graphs
The Adaptation of Interior Point Method for Solving the Quadratic Programming Problems Arising in the Assembly of Deformable Structures
On Optimizing Electricity Markets Performance
Adaptive Extraproximal Algorithm for the Equilibrium Problem in Hadamard Spaces
The Dual Simplex-Type Method for Linear Second-Order Cone Programming Problems
About Difference Schemes for Solving Inverse Coefficient Problems
Optimization of the Values of the Right-Hand Sides of Boundary Conditions with Point and Integral Terms for the ODE System
Saddle-Point Method in Terminal Control with Sections in Phase Constraints
Pricing in Dynamic Marketing: the Cases of Piece-Wise Constant Sale and Retail Discounts
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4. DNA Computing Based Genetic Algorithm : Applications in Industrial Process Modeling and Control. 1st ed. 2020
by Jili Tao, Ridong Zhang, Yong Zhu
出版情報: Singapore : Springer Singapore : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-981-15-5403-2
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Introduction
DNA computing based RNA-GA
DNA double-helix based hybrid genetic algorithm
DNA computing based multi-objective genetic algorithm
Parameter identification and optimization for chemical process
RBF neural network for nonlinear SISO system
T-S Fuzzy neural network for nonlinear SISO system
PCA & GA based ARX plus RBF Modeling for Nonlinear DPS
GA based predictive control design
MOGA based PID controller design
Concluding Remarks
Introduction
DNA computing based RNA-GA
DNA double-helix based hybrid genetic algorithm
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5. New Trends in Computational Vision and Bio-inspired Computing : Selected works presented at the ICCVBIC 2018, Coimbatore, India. 1st ed. 2020
edited by S. Smys, Abdullah M. Iliyasu, Robert Bestak, Fuqian Shi
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-41862-5
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Chapter 1: Image Encryption based on 3 Dimensional Multi Linear (3D-MLT) Chaotic Transformation
Chapter 2: A Computer Vision Based Approach for Object Recognition in Smart Buildings
Chapter 3: A Cascade Color Image Retrieval Framework for Image Retrieval
Chapter 4: Enhanced Geographical Information System Architecture for Geospatial Data
Chapter 5: IoT Based Power Management and Condition Monitoring in Microgrid
Chapter 6: A Comparative performance study of cloud resource scheduling techniques
Chapter 7: Image Context Based Similarity Retrieval System
Chapter 8: Emotions Recognition from Spoken Marathi Speech using LPC and PCA Technique
Chapter 9: Implementation of Point Of Care system Using Bio-Medical Signal Stegano-graphy
Chapter 10: Privacy assurance with content based access protocol to secure cloud storage
Chapter 11: Leaf Recognition using Artificial Neural Network
Chapter 12: Data Security in Cloud Using RSA and GNFS Algorithms - An Integrated Approach
Chapter 13: Machine Learning Supported Statistical Analysis of IoT Enabled Physical Location Monitoring Data
Chapter 14: A Genetic Algorithm based System with Different Crossover Operators for Solving the Course Allocation Problem of Universities
Chapter 15: Detecting Anomalies in Credit Card Transaction Using Efficient Techniques
Chapter 16: Secure Data Processing System using Decision Tree Architecture
Chapter 17: A Novel Framework for Detection of Morphed images using Deep Learning Techniques
Chapter 18: A Novel Non-invasive Framework for Predicting Bilirubin Levels
Chapter 19: A Comprehensive Study on the Load Assessment Techniques in Cloud Data Center
Chapter 20: Multimodal biometric system using Ear and Palm Vein recognition based on GwPeSOA - Multi-SVNN for security applications
Chapter 21: E-Agriculture
Chapter 22: Ultra Wide Band Monopole Antenna Design by Using Split Ring Resonator
Chapter 23: Green supply chain management of chemical Industrial development for warehouse and its impact on the environment using artificial bee colony algorithm: A Review Articles
Chapter 24: A Novel Dyno-Quick Reduct Algorithm For Heart Disease Prediction Using Supervised Learning Algorithm
Chapter 25: Impact of Meltdown and Spectre Threats in Parallel Processing
Chapter 26: Algorithm For Finding Minimum Dominating Set Using Sticker Based Model In Dna Computing
Chapter 27: Assistive Technology Evolving as Intelligent System
Chapter 28: A Bio Potential Sensor Circuit of AFE DesignWith CT ∑-∆ Modulator
Chapter 29: Image Encryption based on Transformation and Chaotic Substitution
Chapter 30: An Efficient Geographical Opportunistic Routing Algorithm Using Diffusion and Sparse Approximation Models for Cognitive Radio Ad Hoc Networks
Chapter 31: Traffic Violation Tracker and Controller
Chapter 32: PTCWA: Performance Testing of Cloud based Web Applications
Chapter 33: Analysis of Regularized Echo State Networks on the Impact of Air Pollutants on Human Health
Chapter 34: Detection of Cancer by Biosensor through Optical Lithography
Chapter 35: Paradigms in Computer Vision: Biology Based Carbon Domain Postulates Nano Electronic Devices for Generation Next
Chapter 36: A Secure Authenticated Bio-Cryptosystem Using Face Attribute Based On Fuzzy Extractor
Chapter 37: Implementation of Scan logic and Pattern generation for RTL Design
Chapter 38: Optimization Load Balancing Over Imbalance Datacenter Topology
Chapter 39: Text Attentional Character Detection using Morphological Operations: A Survey
Chapter 40: IoT Based Environment Monitoring System
Chapter 41: Design & Development of Algorithms for Detection of Glaucoma Using Water Shed Algorithm
Chapter 42: A novel development of glaucoma detection technique using the water shed algorithm
Chapter 43: Solutions of Viral Dynamics in Hepatitis B Virus Infection using HPM
Chapter 44: A Mathematıcal Modelıng Of Dengue Fever For The Dynamıcs System Usıng HAM
Chapter 45: Vision-based Robot for Boiler Tube Inspection
Chapter 46: Qualitative Study on Data Mining Algorithms for classification of Mammogram Images
Chapter 47: Designing a framework for data migration of Odoo ERP PostgreSQL database into NoSQL database
Chapter 48: Juxtaposition on classifiers in modeling Hepatitis Diagnosis Data
Chapter 49: Voltage Stabilization By Using Buck Converters In The Integration Of Renewable Energy Into The Grid
Chapter 50: OCR System For Recognition of Used Printed Com-ponents For Recycling
Chapter 51: Modern WordNet: An Affective Extension of WordNet
Chapter 52: Analysis of Computational Intelligence Techniques for Path Planning
Chapter 53: Techniques for Analysis of the Effectiveness of Yoga through EEG Signals: A Review
Chapter 54: Multiobjective integrated stochastic and deterministic search method for economic emission dispatch problem
Chapter 55: Enhanced webpage prediction using Rank based Feedback Process
Chapter 56: A study on distance based representation of molecules for statistical learning
Chapter 57: Comparative Analysis of Evolutionary Approaches and computational methods for optimization in Data Clustering
Chapter 58: Bringing Digital Transformation from a Traditional RDBMS Centric Solution to a Big Data Platform with Azure Data Lake Store
Chapter 59: Smart Assist For Alzheimer’s Patients And Elderly People
Chapter 60: An Unconstrained Rotation Invariant Approach For Document Skew Estimation And Correction
Chapter 61: Smart Assistive Shoes For Blind
Chapter 62: Comparative study on Various techniques involved in designing a Computer Aided Diagnosis (CAD) System for mammogram classification
Chapter 63: Traffic Flow Prediction Using Regression and Deep Learning Approach
Chapter 64: A Comparative Study on Assessment of Carotid Artery Using various Techniques
Chapter 65: Evaluation of Fingerprint Minutiae on Ridge Structure Using Gabor and Closed hull Filters
Chapter 66: A Perspective View on Sybil Attack Defense Mechanisms in Online Social Networks
Chapter 67: Minor Finger Knuckle Print Image Enhancement using CLAHE Technique
Chapter 68: Learning Path Construction Based On Ant Colony Optimization and Genetic Algorithm
Chapter 69: Pneumonia Detection And Classification Using Chest X-Ray Images With Convolutional Neural Network
Chapter 70: Juxtaposition on classifiers in modeling Hepatitis Diagnosis Data
Chapter 71: An Optimized Approach Of Outlier Detection Algorithm for Outlier Attributes on Data Streams
Chapter 72: Indo – Pak Sign Language Translator Using Kinect
Chapter 73: Semantic interoperability for a defining Query
Chapter 74: Gestational Diabetics prediction using Logisitic Regression in R
Chapter 75: IOT Based Gas Pressure Detection for LPG with real time No SQL Database
Chapter 76: Hybrid Steerable Pyramid with DWT for Multiple Medi-cal Image Watermarking and Extraction using ICA
Chapter 77: Dimensional & Spatial Analysis of Ultrasound Imaging through Image Processing - A Review
Chapter 78: A Review on methods to handle Uncertainty
Chapter 79: Identity-based Hashing and Light Weight Signature Scheme for IoT
Chapter 80: Adaptive Particle Swarm Optimization Based Wire-length Minimization for Placement in FPGA
Chapter 81: Clustering of Various Diseases by Collagen Gene Using the Positional Factor
Chapter 82: Prediction Of Water Demand For Domestic Purpose Using Multiple Linear Regression
Chapter 83: Implementation of Regression Analysis using Regression Algorithms for Decision Making In Business Domains
Chapter 84: Blockchain Based System for Human Organ Transplantation Management
Chapter 85: Identification of Melanoma using Convolutional Neural Networks for Non Dermoscopic Images
Chapter 86: Exploitation Of Data Mining To Analyse Realistic Facts From Road Traffic Accident Data
Chapter 87: A Deep Learning Approach for Segmenting Time-Lapse Phase Contrast Images of NIH 3T3 Fibroblast Cells
Chapter 88: Flow distribution-aware load balancing for the data centre over cloud services with virtualization
Chapter 89: Disease severity diagnosis for rice using Fuzzy Verdict Method
Chapter 90: HELPI VIZ: A Semantic image Annotation and Visualization Platform for Visually Impaired
Chapter 91: A Survey of Multi - Abnormalities Disease Detection and Classification in WCE
Chapter 92: Detection of Alzheimer's Disease in Brain MR Images using Hybrid Local Graph Structure
Chapter 93: A Review on Object Tracking Wireless Sensor Network an Approach For Smart Surveilliance
Chapter 94: A Mini Review on Electrooculogram Based Rehabilitation Methods Using Bioengineering Technique for Neural Disorder Persons
Chapter 95: Applications Using Machine Learning Algorithms for Developing Smart Systems
Chapter 96: Benchmarking of Digital Forensic Tools
Chapter 97: An Item Based Collaborative Filtering For Similar Movie Search
Chapter 98: Identification of Musical Instruments Using MFCC Features
Chapter 99: An Instance Identification Using Randomized Ring Matching via Score Generation
Chapter 100: Performance Improvement of Multi-Channel Speech Enhancement using Modified Intelligent Kalman Filtering Algorithm
Chapter 101: A Collaborative Method for Minimizing Tampering of Image with commuted concept of Frazile Watermarking
Chapter 102: Interval Type-2 Fuzzy Logic Based Decision Support System for Cardiac Risk Assessment
Chapter 103: Classification Of Multi-Retinal Disease Based On Retinal Fundus Image Using Convolutional Neural Network
Chapter 104: Accurate Techniques of Thickness and Volume Measurement of Cartilage from Knee Joint MRI using Semiautomatic Segmentation Methods
Chapter 105: A Hybrid Approach Using Machine Learning Algorithm For Prediction Of Stock Arcade Price Index
Chapter 106: Disease severity diagnosis for rice u
Chapter 1: Image Encryption based on 3 Dimensional Multi Linear (3D-MLT) Chaotic Transformation
Chapter 2: A Computer Vision Based Approach for Object Recognition in Smart Buildings
Chapter 3: A Cascade Color Image Retrieval Framework for Image Retrieval
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6. Geometric Algebra Applications Vol. II : Robot Modelling and Control. 1st ed. 2020
by Eduardo Bayro-Corrochano
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-34978-3
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Geometric Algebra for Modeling in Robotic Physics
Introduction to Geometric Algebra
Lie Algebras, Lie Groups and Algebra of Incidence
2D, 3D and 4D Geometric Algebras
Kinematics of the 2D and 3D Spaces
Conformal Geometric Algebra
Programming Issues
Rigid Motion Interpolation
Robot Kinematics
Robot Dynamics
Control of Robot Manipulators
Robot Neurocontrol
Robot Control and Tracking
Rigid Motion Estimation Using Line Observations
Tracker Endoscope Calibration and Body-Sensors Calibration
Tracking, Grasping and Object Manipulation
3D Maps, Navigation and Relocalization
Quadrotor
Modeling and Registration of Medical Data
Geometric Computing for Minimal Invasive Surgery
Geometric Algebra for Modeling in Robotic Physics
Introduction to Geometric Algebra
Lie Algebras, Lie Groups and Algebra of Incidence
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7. Theory and Applications of Time Series Analysis : Selected Contributions from ITISE 2019. 1st ed. 2020
edited by Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Contributions to Statistics ;
オンライン: https://doi.org/10.1007/978-3-030-56219-9
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Part I: Advanced Statistical and Mathematical Methods for Time Series Analysis
Random Forest Variable Selection for Sparse Vector Autoregressive Models (Dmitry Pavlyuk)
Covariance functions for Gaussian Laplacian fields in higher dimension (Gyorgy Terdik)
The Correspondence between Stochastic Linear Diference and Diferential Equations (D. Stephen G. Pollock)
New test for a random walk detection based on the arcsine law (Konrad Furmanczyk, Marcin Dudzinski and Arkadiusz Orlowski)
Part II: Econometric Models and Forecasting
On the automatic identification of Unobserved Components Models (Diego J. Pedregal and Juan R. Trapero)
Spatial integration of pig meat markets in the EU: Complex Network analysis of nonlinear price relationships (Christos Emmanouilides and Alexej Proskynitopoulos)
Comparative Study of Models for Forecasting Nigerian Stock Exchange Market Capitalization (Nura Isah, Basiru Yusuf and Sani I.S. Doguwa)
Industry Specifics of Models Predicting Financial Distress (Dagmar Camska)
Stochastic volatility model's predictive relevance for Equity Markets (Per B Solibakke)
Empirical test of the Balassa-Samuelson Effect in Selected African Countries (Joel Hinaunye Eita, Zitsile Zamantungwa Khumalo and Ireen Choga)
Part III: Energy Time Series Forecasting
End of charge detection of batteries with high production tolerances (Andre Loechte, Ole Gebert and Peter Gloesekoetter)
The effect of Daylight Saving Time on Spanish Electrical Consumption (Eduardo Caro Huertas, Jesus Juan Ruiz, Marta Mana Sanchez, Jesus Ruperez Aguilera, Carlos Rodriguez Huidobro, Ana Rodriguez Aparicio and Juan Jose Abellan Perez)
Wind Speed Forecasting Using Kernel Ridge Regression (Mohammad Alalami, Maher Maalouf and Tarek El Fouly)
Applying a 1D-CNN Network to Electricity Load Forecasting (Christian Lang, Florian Steinborn, Oliver Steffens and Elmar W. Lang)
Long and Short Term Prediction of Power Consumption using LSTM Networks (Juan Carlos Morales, Salvador Moreno, Carlos Bailon, Hector Pomares, Ignacio Rojas and Luis Javier Herrera)
Part IV: Forecasting Complex/Big data problems
Freedman's Paradox: a Solution Based on Normalized Entropy (Pedro Macedo)
Mining News Data for the Measurement and Prediction of Inflation Expectations (Diana Gabrielyan, Lenno Uuskula and Jaan Masso)
Big Data: Forecasting and Control for Tourism Demand (Miguel Angel Ruiz Reina)
Traffic Networks via Neural Networks: Description and Evolution (Alexandros Sopasakis)
Part V: Time Series Analysis with Computational Intelligence
A Comparative Study on Machine Learning Techniques for Intense Convective Rainfall Events Forecasting (Matteo Sangiorgio, Stefano Barindelli, Valerio Guglieri, Riccardo Biondi, Enrico Solazzo, Eugenio Realini, Giovanna Venuti and Giorgio Guariso)
Long-Short Term Memory Networks for the Prediction of Transformer Temperature for Energy Distribution Smart Grids (Francisco Jesus Martinez-Murcia, Javier Ramirez, Fermin Segovia, Andres Ortiz, Susana Carrillo, Javier Leiva, Jacob Rodriguez-Rivero and Juan Manuel Gorriz)
Deep Multilayer Perceptron for Knowledge Extraction: Understanding the Gardon de Mialet Flash Floods Modelling (Bob E. Saint Fleur, Guillaume Artigue, Anne Johannet and Severin Pistre)
Forecasting short-term and medium-term time series:a comparison of artificial neural networks and fuzzy models (Tatiana Afanasieva and Pavel Platov)
Inflation Rate Forecasting: Extreme Learning Machine as a Model Combination Method (Jeronymo Marcondes Pinto and Emerson Fernandes Marcal)
Part VI: Time Series Analysis and Prediction in Other Real Problems
Load Forecast by Multi Task Learning Models: designed for a new collaborative world (Leontina Pinto, Jacques Szczupak and Robinson Semolini)
Power transformer forecasting in smart grids using NARX neural networks (Javier Ramirez, Francisco J. Martinez Murcia, Fermin Segovia, Andres Ortiz, Diego Salas-Gonz_alez, Susana Carrillo, Javier Leiva, Jacob Rodriguez- Rivero and Juan M. Gorriz)
Short term forecast of emergency departements visits through calendar selection (Cosimo Lovecchio, Mauro Tucci, Sami Barmada, Andrea Serafini, Luigi Bechi, Mauro Breggia, Simona Dei and Daniela Matarrese)
Discordant Observation Modelling (Sonya Leech and Bojan Bozic)
Applying Diebold-Mariano test for performance evaluation between individual and hybrid time series models for modeling bivariate time series data and forecasting the unemployment rate in the USA (Moamen Abbas Mousa Al-Sharifi and Firas Ahmmed Mohammed Al-Mohana)
Part I: Advanced Statistical and Mathematical Methods for Time Series Analysis
Random Forest Variable Selection for Sparse Vector Autoregressive Models (Dmitry Pavlyuk)
Covariance functions for Gaussian Laplacian fields in higher dimension (Gyorgy Terdik)
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8. Domain Adaptation in Computer Vision with Deep Learning. 1st ed. 2020
edited by Hemanth Venkateswara, Sethuraman Panchanathan
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-45529-3
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Preface
Part I: Introduction
Chapter 1: Introduction to Domain Adaptation
Chapter 2: Shallow Domain Adaptation
Part II: Domain Alignment in the Feature Space
Chapter 3: d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
Chapter 4: Deep Hashing Network for Unsupervised Domain Adaptation
Chapter 5: Re-weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation
Part III: Domain Alignment in the Image Space
Chapter 6: Unsupervised Domain Adaptation with Duplex Generative Adversarial Network
Chapter 7: Domain Adaptation via Image to Image Translation
Chapter 8: Domain Adaptation via Image Style Transfer
Part IV: Future Directions in Domain Adaptation
Chapter 9: Towards Scalable Image Classifier Learning with Noisy Labels via Domain Adaptation
Chapter 10: Adversarial Learning Approach for Open Set Domain Adaptation
Chapter 11: Universal Domain Adaptation
Chapter 12: Multi-source Domain Adaptation by Deep CockTail Networks
Chapter 13: Zero-Shot Task Transfer
Preface
Part I: Introduction
Chapter 1: Introduction to Domain Adaptation
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9. Computational Diffusion MRI : MICCAI Workshop, Shenzhen, China, October 2019. 1st ed. 2020
edited by Elisenda Bonet-Carne, Jana Hutter, Marco Palombo, Marco Pizzolato, Farshid Sepehrband, Fan Zhang
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Mathematics and Visualization ;
オンライン: https://doi.org/10.1007/978-3-030-52893-5
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目次情報:
Diffusion MRI signal acquisition and processing strategies
Machine learning for diffusion MRI
Combined diffusion-relaxometry MRI
Diffusion MRI signal acquisition and processing strategies
Machine learning for diffusion MRI
Combined diffusion-relaxometry MRI
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10. Introduction to Data Systems : Building from Python. 1st ed. 2020
by Thomas Bressoud, David White
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-54371-6
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Part I Foundation
1. Introduction
2. File Systems and File Processing
3. Python Native Data Structures
4. Regular Expressions
Part II Data Systems: The Data Models
5. Data Systems Models
6. Tabular Model: Structure and Formats
7. Tabular Model: Access Operations and pandas
8. Tabular Model: Advanced Operations and pandas
9. Tabular Model: Transformations and Constraints
10. Relational Model: Structure and Architecture
11. Relational Operations: Single Table
12. Relational Operations: Multiple Tables
13. Relational Database Programming
14. Relational Model: Design, Constraints, and Creation
15. Hierarchical Model: Structure and Formats
16. Hierarchical Model: Operations and Programming
17. Hierarchical Model: Constraints
Part III Data Systems: The Data Sources
18. Overview of Data Systems Sources
19. Networking and Client-Server
20. The HyperText Transfer Protocol
21. Interlude: Client Data Acquisition
22. Web Scraping
23. RESTful Application Programming Interfaces
24. Authentication and Authorization
Part I Foundation
1. Introduction
2. File Systems and File Processing