![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Software Modeling for Open Distributed Network Monitoring Systems
As computer networks grow in size, both physically and geographically, more scalable solutions to network administration are becoming necessary. This need is amplified by the spread of faster and more devastat...
-
Chapter and Conference Paper
Budget and User Feedback Control Strategy-Based PRMS Scenario Web Application
The Precipitation-Runoff Modeling System (PRMS) is used to study and simulate hydrological environment systems. It is common for an environmental scientist to execute hundreds of PRMS model runs to learn diffe...
-
Chapter and Conference Paper
Image Processing Using Multiple GPUs on Webcam Image Streams
Image analysis is an important area in many fields of research, such as sensor networks, where webcams have become an increasingly popular addition. Sensor network webcams gather images frequently and, as such...
-
Chapter and Conference Paper
A Graphical Processing Unit Accelerated NORmal to Anything Algorithm for High Dimensional Multivariate Simulation
Many complex real world systems can be represented as correlated high dimensional vectors (up to 20,501 in this paper). While univariate analysis is simpler, it does not account for correlations between variab...
-
Chapter and Conference Paper
A Memory Layout for Dynamically Routed Capsule Layers
Capsule Networks are an emerging extension of the traditional multilayer perceptron model, providing classification and estimated pose parameters through extra computational data models such as vectors and mat...
-
Chapter and Conference Paper
Randomized Benchmarking of Quantum Gates on a GPU
While quantum computing has shown great promise in the field of computer science, a lack of actual practical quantum hardware means that mainstream research must rely on simulations. As such, a wide number of ...
-
Chapter and Conference Paper
Data Imputation with an Improved Robust and Sparse Fuzzy K-Means Algorithm
Missing data may be one of the biggest problems hindering modern research science. It occurs frequently, for various reasons, and slows down crucial data analytics required to answer important questions relate...