Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2015
This edited book presents scientific results of the 16th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2015) which was held on June 1 – 3, 2015 in Takamatsu, Japan. The aim of this conference was to bring toge...
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Edition: | 1st ed. 2016. |
| Series: | Studies in Computational Intelligence,
612 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- On the Accelerated Convergence of Genetic Algorithm Using GPU Parallel Operations
- A GPU-Based Pencil Beam Algorithm for Dose Calculations in Proton Radiation Therapy
- Incremental Max-Margin Learning for Semi-Supervised Multi-Class Problem
- Improving Hypervisor based SSD Caching with Logically Partitioned Blocks and Scanning in Cloud Environment.- Emotional Scene Retrieval from Lifelog Videos Using Evolutionary Feature Creation
- On Solving the Container Problem in a Hypercube with Bit Constraint
- Algorithms for Removing Node Overlaps with Some Basic Nodes.-Significant Frequency Range of Brain Wave Signal for Authentication
- Simple Models Characterizing the Cell Dwell Time with a Log-Normal Distribution
- A Method of Ridge Detection in Triangular Dissections Generated by Homogeneous Rectangular Dissections
- Architecture for Wide Area Appliance Management
- Towards a Model Level Replication Technique for Fault Tolerant Systems Using AADL
- Model Inference of Mobile Applications with Dynamic State Abstractions
- Automatic Generation of S-LAM Descriptions from UML/MARTE for the DSE of Massively Parallel Embedded Systems
- Automatic Translation of OCL Meta-Level Constraints into Java Meta-programs.-Towards a Formal Model for Dynamic Networks Through Refinement and Evolving Graphs
- An Iterated Variable Neighborhood Decent Hyperheuristic for the Quadratic Multiple Knapsack Problem.
