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1. |
Record Nr. |
UNINA9911011660103321 |
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Autore |
Mahmud Mufti |
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Titolo |
Neural Information Processing : 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part II / / edited by Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (772 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 15287 |
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Altri autori (Persone) |
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DoborjehMaryam |
HuangDejiang |
LeungAndrew Chi Sing |
DoborjehZohreh |
TanveerM |
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Disciplina |
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Soggetti |
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Pattern recognition systems |
Data mining |
Machine learning |
Automated Pattern Recognition |
Data Mining and Knowledge Discovery |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Network structure and recurrent dynamics achieved by maximizing information transfer and minimizing maintenance costs of the network -- Outlier-Robust Range-Based Method for Estimating the Location and Velocity of a Moving Source Using Lagrange Programming Neural Network -- Spatial Analysis Techniques in Recognition and Localization of Mouse Neuronal Activity -- ScaleMixer: A Multi-Scale MLP-Mixer Model for Long-Term Time Series Forecasting -- Application of Pseudometric Functions in Clustering and a Novel Similarity Measure Based on Path Information Discrepancy -- USAM-Net: A U-Net based network for improved stereo correspondence and scene depth estimation using features from a pre-trained image segmentation |
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network -- TaW-PeRCNN:Time-adaptive Weights Physics-encoded Recurrent Convolutional Neural Network for Solving Partial Differential Equations -- An Explainable Error Detection Approach for Machine Learning -- T-GET3D: A Generative Model of High-Quality 3D Textured Shapes Guided by Texts -- Conformal Adversarial Generative Ensemble -- Virtual Command Allocation: Enhancing Hexapod Robot Locomotion through Goal-Conditioned Reinforcement Learning -- Adaptive Retrieval-based Gradient Planning for Offine Multi-context Model-based Optimization -- RBHAR: Role-Based Heterogeneous Action Representation in Multi-Agent Reinforcement Learning -- Deep mixtures of variational autoencoders model for representation learning and clustering tasks -- TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph Analysis -- Direct Correlational Spike-Timing-Dependent Plasticity Learning Applied to Classification Tasks -- Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function -- Dual Cross Fusion Deep-unfolding Transformer for Hyperspectral Image Reconstruction -- A weight averaging neural network for semi-supervised data stream learning -- obust Noise Tolerant Algorithm for Randomized Neural Network -- Tackling Periodic Distribution Shifts in Federated Learning with Half-cycle Knowledge Distillation -- Multi-Scale Attention Convolutional Network and Reinforcement Learning for Flexible Job Shop Scheduling -- Temporal State Prediction and Sequence Recovery for Multi-Agent Reinforcement Learning -- Data Augmentation with Variational Autoencoder for Imbalanced Dataset -- Performance Analysis of Quantum-Enhanced Kernel Classifiers Based on Feature Maps: A Case Study on EEG-BCI Data -- Certified Patch Defense via Dual Mask-Preservation Prediction -- Proximal Point Method for Online Saddle Point Problem -- Fast Preserving Local Distances and Topology in Auto-Encoders -- Neural Collapse Inspired Regularization for Deep Graph Neural Networks. |
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Sommario/riassunto |
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The eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024. The 318 regular papers presented in the proceedings set were carefully reviewed and selected from 1301 submissions. They focus on four main areas, namely: theory and algorithms; cognitive neurosciences; human-centered computing; and applications. |
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2. |
Record Nr. |
UNINA9911139784903321 |
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Autore |
Khosravi Shahram <1963-> |
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Titolo |
Professional IIS 7 and ASP.NET integrated programming / / Shahram Khosravi |
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Pubbl/distr/stampa |
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Indianapolis, IN, : Wrox/Wiley Pub., c2008 |
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ISBN |
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9786611222000 |
9781281222008 |
1281222003 |
9780470245323 |
0470245328 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (698 p.) |
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Collana |
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Disciplina |
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005.2/768 |
005.2768 |
006.76 |
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Soggetti |
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Internet programming |
Microsoft .NET |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Professional IIS 7 and ASP.NET Integrated Programming; About the Author; Credits; Acknowledgments; Contents; Introduction; Who This Book Is For; What This Book Covers; What You Need to Use This Book; Conventions; Source Code; Errata; p2p.wrox.com; Chapter 1: IIS 7 and ASP.NET Integrated Architecture; Modular Architecture of IIS 7; Extensible Architecture of IIS 7; IIS 7 and ASP.NET Integrated Request Processing Pipeline; IIS 7 and ASP.NET Integrated Configuration Systems; IIS 7 and ASP.NET Integrated Administration; Building a Customized Web Server; Summary |
Chapter 2: Using the Integrated Configuration SystemIntegrated Configuration System; Protocol Listeners; Windows Process Activation Service; World Wide Web Publishing Service; The Structure of the applicationHost.config File; Summary; Chapter 3: Managing the Integrated Configuration System from IIS Manager and the Command Line; Server Management; Internet Information Services (IIS) Manager; Command-Line Tool; Summary; Chapter 4: Managing the Integrated |
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Configuration System with Managed Code; Class Diagrams; ConfigurationElement; ConfigurationElementCollectionBase; ApplicationPool |
ApplicationPoolCollectionSite; Application; ApplicationCollection; VirtualDirectory; VirtualDirectoryCollection; ConfigurationSection; ServerManager; Putting It All Together; Summary; Chapter 5: Extending the Integrated Configuration System and Imperative Management API; IIS7 and ASP.NET Integrated Configuration Extensibility Model; IIS7 and ASP.NET Integrated Imperative Management Extensibility Model; Summary; Chapter 6: Understanding the Integrated Graphical Management System; Module Pages; Tasks; The IIS7 Manager Object Model; Putting It All Together; Summary |
Chapter 7: Extending the Integrated Graphical Management SystemClient-Side Managed Code; Custom Module Pages and Task Forms in Action; Proxies; MyConfigSectionPage; MyCollectionPage; MyCollectionItemTaskForm; Module; Server-Side Managed Code; Deployment; Summary; Chapter 8: Extending the Integrated Request Processing Pipeline; Extending the Integrated Pipeline through Managed Code; Managed Handlers; Managed Modules; Managed Handler Factories; Extending the Integrated Pipeline with Configurable Managed Components; Configuration Support for the URL Rewriting Managed Module |
Imperative Management Support for the URL Rewriting Managed ModuleGraphical Management Support for the URL Rewriter Managed Module; Client-Side Managed Code; Server-Side Managed Code; Registering UrlRewriterModuleProvider; Configurable UrlRewriterModule; Rewriting Non-ASP.NET URLs; Postback Problem with URL Rewriting; Summary; Chapter 9: Understanding the Integrated Providers Model; Why You Need Provider-Based Services; The Integrated Providers Model in Action; Under the Hood of the Integrated Providers Model; Summary; Chapter 10: Extending the Integrated Providers Model; Recipe |
Custom Provider Base Class |
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Sommario/riassunto |
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The deep integration of IIS7 and ASP.NET provides both IIS7 administrators and ASP.NET developers with new and exciting programming tools, techniques, and approaches that were not possible with earlier versions of IIS. With this book, Dr. Shahram Khosravi presents you with the only resource to focus exclusively on the key features of this exciting integration. You'll get in-depth coverage of all the major systems that make up the IIS7 and ASP.NET integrated infrastructure, detailed explanations on how they work, guidance on how to use them in your own applications, and techniques for extendi |
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