Based on the graphic theory and improved genetic algorithm,an improved genetic algorithm to search the minimum spanning trees is given . The algorithm uses binary code to represent the problem of ...
Abstract: Tiny motes running on wireless sensor networks (WSNs) are equipped with limited batteries. Thus, design and implementation of energy-efficient algorithms on WSNs is vital. Problem of finding ...
Introduction: Alzheimer’s disease (AD) is characterized by disrupted brain connectivity, but the network changes across disease stages remain poorly understood. This observational cross-sectional ...
Abstract: Optimizing Minimum Spanning Tree (MST) techniques improve large data graph processing. Developing improved methods to manage large-scale data set computational complexity is the goal. To ...
Swift Graphs library provides a composable and extensible foundation for working with graphs. Whether you're constructing binary trees, performing complex graph traversals, or optimizing pathfinding ...
Background: In South Africa, between 1966 and 2014, there were three kidney transplant eras defined by evolving access to certain immunosuppressive therapies defined as Pre-CYA (before availability of ...
Scientists have trained an AI algorithm to count the number of flowers on fruit trees using only smartphone images. The system could predict the size of a harvest months in advance — saving farmers ...
Dimensionality reduction (DR) algorithms typically assume the data they are given is uniformly sampled from some underlying manifold. When this is not the case, and there are observation-gaps along ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback