On Coverage and Capacity for Disaster Area Wireless Networks Using Mobile Relays
Public safety organizations increasingly rely on wireless technology to provide effective communications during emergency and disaster response operations.
Wenxuan Guo, Xinming Huang
doaj +2 more sources
A Fast Neural Network Learning Algorithm with Approximate Singular Value Decomposition
The learning of neural networks is becoming more and more important. Researchers have constructed dozens of learning algorithms, but it is still necessary to develop faster, more flexible, or more accurate learning algorithms.
Jankowski Norbert, Linowiecki Rafał
doaj +1 more source
Direct Aperture Optimization for Intensity Modulated Radiation Therapy: Two Calibrated Metaheuristics and Liver Cancer Case Study [PDF]
Integrated treatment planning for cancer patients has high importance in intensity modulated radiation therapy (IMRT). Direct aperture optimization (DAO) is one of the prominent approaches used in recent years to attain this goal.
Ali Fallahi +2 more
doaj
Calculating Kolmogorov complexity from the output frequency distributions of small Turing machines. [PDF]
Drawing on various notions from theoretical computer science, we present a novel numerical approach, motivated by the notion of algorithmic probability, to the problem of approximating the Kolmogorov-Chaitin complexity of short strings.
Fernando Soler-Toscano +3 more
doaj +1 more source
The U-curve optimization problem is characterized by a decomposable in U-shaped curves cost function over the chains of a Boolean lattice. This problem can be applied to model the classical feature selection problem in Machine Learning. Recently, the U-Curve algorithm was proposed to give optimal solutions to the U-curve problem.
Marcelo da Silva Reis +2 more
openaire +2 more sources
Domination Analysis of Greedy Heuristics For The Frequency Assignment Problem [PDF]
We introduce the greedy expectation algorithm for the fixed spectrum version of the frequency assignment problem. This algorithm was previously studied for the travelling salesman problem.
Noble, SD +6 more
core +1 more source
Towards Bio-Inspired Anomaly Detection Using the Cursory Dendritic Cell Algorithm [PDF]
The autonomous and adaptable identification of anomalies in industrial contexts, particularly in the physical processes of Cyber-Physical Production Systems (CPPS), requires using critical technologies to identify failures correctly. Most of the existing
Carlos Pinto, Rui Pinto, Gil Gonçalves
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Selected Multicriteria Shortest Path Problems: An Analysis of Complexity, Models and Adaptation of Standard Algorithms [PDF]
Selected Multicriteria Shortest Path Problems: An Analysis of Complexity, Models and Adaptation of Standard AlgorithmsThe paper presents selected multicriteria (multiobjective) approaches to shortest path problems. A classification of multi-objective shortest path (MOSP) problems is given.
openaire +1 more source
Clustering Affine Subspaces: Algorithms and Hardness [PDF]
We study a generalization of the famous k-center problem where each object is an affine subspace of dimension Δ, and give either the first or significantly improved algorithms and hardness results for many combinations of parameters.
Lee, Euiwoong
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The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson +6 more
wiley +1 more source

