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Context Awareness for Enhancing Heterogeneous Access Management and Self-Optimizing Networks

Andreas Klein
Dr. Hut
96 € · Paperback

Context Awareness Heterogeneous Access Management Self-Optimizing Networks

The heterogeneity of today's access possibilities to wireless networks imposes challenges for efficient mobility support and resource management across different Radio Access Technologies (RATs). The current situation is characterized by the coexistence of various wireless communication systems, suc...

Evolutionary Machine Learning Techniques

Springer Singapore
192.59 € · Hardcover

Artificial Neural Network Probabilistic Neural Network Self-Optimizing Neural Network Feedforward Neural Network Radial Basis Function Network Recurrent Neural Network Spiking Neural Network Neuro-fuzzy Networks Modular Neural Network Physical Neural Network

This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded methods for classification, clustering, regression, and prediction, it includes techniques such as support vector machines, extreme learning machines, evolutionary fea...

Confidential Data-Outsourcing and Self-Optimizing P2P-Networks: Coping with the Challenges of Multi-Party Systems

Konrad Jünemann
KIT Scientific Publishing
48 € · Paperback

Cloud-Computing Data-Outsourcing Cloud-Computing Security Peer-to-Peer Sicherheit Data-Outsourcing Simulation Simulation Peer-to-Peer

This work addresses the inherent lack of control and trust in Multi-Party Systems at the examples of the Database-as-a-Service (DaaS) scenario and public Distributed Hash Tables (DHTs). In the DaaS field, it is shown how confidential information in a database can be protected while still allowing th...

Evolutionary Machine Learning Techniques

Springer Singapore
192.59 € · Paperback

Artificial Neural Network Probabilistic Neural Network Self-Optimizing Neural Network Feedforward Neural Network Radial Basis Function Network Recurrent Neural Network Spiking Neural Network Neuro-fuzzy Networks Modular Neural Network Physical Neural Network

This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded methods for classification, clustering, regression, and prediction, it includes techniques such as support vector machines, extreme learning machines, evolutionary fea...

Evolutionary Machine Learning Techniques

Springer Singapore
181.89 € · eBook

Artificial Neural Network Probabilistic Neural Network Self-Optimizing Neural Network Feedforward Neural Network Radial Basis Function Network Recurrent Neural Network Spiking Neural Network Neuro-fuzzy Networks Modular Neural Network Physical Neural Network

This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded methods for classification, clustering, regression, and prediction, it includes techniques such as support vector machines, extreme learning machines, evolutionary fea...

Learning to Understand Remote Sensing Images

MDPI
€ · Paperback

hyperspectral image classification SELF SVMs Segment-Tree Filtering multi-sensor change feature analysis object-based multispectral images heterogeneous domain adaptation transfer learning multi-view canonical correlation analysis ensemble semi-supervised learning canonical correlation weighted voting ensemble learning image classification

With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remot...

Learning to Understand Remote Sensing Images

MDPI
€ · Paperback

hyperspectral image classification SELF SVMs Segment-Tree Filtering multi-sensor change feature analysis object-based multispectral images heterogeneous domain adaptation transfer learning multi-view canonical correlation analysis ensemble semi-supervised learning canonical correlation weighted voting ensemble learning image classification

With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remot...

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