Search results for "Genetic algorithm"

Advances in the statistical methodology for the selection of image descriptors for visual pattern representation and classification

1995

Recent advances in the statistical methodology for selecting optimal subsets of features (image descriptors) for visual pattern representation and classification are presented. The paper attempts to provide a guideline about which approach to choose with respect to the a priori knowledge of the problem. Two basic approaches are reviewed and the conditions under which they should be used are specified. References to more detailed material about each one of the methods are given and experimental results supporting the main conclusions are briefly outlined.

Optimization of flat area coverage under connectivity constraint in wireless sensor networks

2022

A wireless sensor network consists of a set of small autonomous units that interact via a network built by their communication modules. They observe their environment, capture information, then manage this information according to their computing and/or storage capacity. To effectively accomplish their task(s), they need to cover as much of the area of interest as possible. It is therefore essential to quantify the quality of their coverage. In this thesis, we therefore seek to best cover an area of interest, with a precise number of sensors. While taking into account the possible overlaps between sensors, we first deploy in a zone of regular dimensions and evaluate the exact coverage using…

An evolutionary method for complex-process optimization

2010

10 páginas, 7 figuras, 7 tablas

Shape-Based Features for Cat Ganglion Retinal Cells Classification

2002

This article presents a quantitative and objective approach to cat ganglion cell characterization and classification. The combination of several biologically relevant features such as diameter, eccentricity, fractal dimension, influence histogram, influence area, convex hull area, and convex hull diameter are derived from geometrical transforms and then processed by three different clustering methods (Ward’s hierarchical scheme, K-means and genetic algorithm), whose results are then combined by a voting strategy. These experiments indicate the superiority of some features and also suggest some possible biological implications.

MICRODISSECTION AND DOP-PCR-BASED REVERSE CHROMOSOME PAINTING AS A FAST AND RELIABLE STRATEGY IN THE ANALYSIS OF VARIOUS STRUCTURAL CHROMOSOME ABNORM…

1996

Reverse chromosome painting has become a powerful tool in clinical genetics for the characterization of cytogenetically unclassifiable aberrations. In this report, the application of a sensitive and rapid procedure for the complete and precise identification of four different de novo structural chromosome abnormalities is presented. These chromosome rearrangements include a marker derived from chromosome 3(cen-q11), an interstitial deletion of chromosome 13 [del(13)(q14q22)], an unbalanced translocation [46,XY, -4, +der(4)t(4;8)(p 15.2;p21.1)] leading to Wolf-Hirschhorn syndrome, and a partial inverted duplication in conjunction with a partial deletion of chromosome 5p [46,XX, -5, +der(5)(:…

Familial mediterranean fever gene (MEVF) mutations in Crohnʼs disease in a Mediterranean area

2008

Selecting and Retaining Friends on the Basis of Cigarette Smoking Similarity

2013

This study examines whether friend selection, deselection, and socialization differ as a function of the level of cigarette smoking in the friendship group. A total of 1419 students (median age = 16) from upper secondary and vocational schools in Finland were included as targets in the peer network. Targets in the peer network were asked to nominate friends and describe their own cigarette smoking at two time points one year apart. Network analyses revealed similarity arising from selection and deselection on the basis of smoking. Selection effects (i.e., selecting new friends based on similarity) were stronger for adolescents in low-smoking groups. Deselection effects (i.e., dropping frien…

UVPAR: fast detection of functional shifts in duplicate genes.

2006

Abstract Background The imprint of natural selection on gene sequences is often difficult to detect. A plethora of methods have been devised to detect genetic changes due to selective processes. However, many of those methods depend heavily on underlying assumptions regarding the mode of change of DNA sequences and often require sophisticated mathematical treatments that made them computationally slow. The development of fast and effective methods to detect modifications in the selective constraints of genes is therefore of great interest. Results We describe UVPAR, a program designed to quickly test for changes in the functional constraints of duplicate genes. Starting with alignments of t…

Genomic determinants of speciation and spread of the Mycobacterium tuberculosis complex

2019

14 páginas, 6 figuras

An Optimized Roadside Units (RSU) Placement for Delay-Sensitive Applications in Vehicular Networks

2015

International audience; Over the last few years, a lot of applications have been developed for Vehicular Ad Hoc NETworks (VANETs) to exchange information between vehicles. However, VANET is basically a Delay Tolerant Network (DTN) characterized by intermittent connectivity, long delays and message losses especially in low density regions [1]. Thus, VANET requires the use of an infrastructure such as Roadside Units (RSUs) that permits to enhance the network connectivity. Nevertheless, due to their deployment cost, RSUs need to be optimally deployed. Hence, the main objective of this work is to provide an optimized RSUs placement for delay-sensitive applications in vehicular networks that imp…