Results 51 to 60 of about 3,338 (175)
Biological specimens housed in natural history collections are indispensable resources for documenting where species occur and how they have changed through time, and are thus vital for combating biodiversity loss. Digitization of these collections promises to make these critical resources globally available.
Matthew W. Austin +4 more
wiley +1 more source
Voice Control in Calorie Tracker Application using Levenshtein Distance Algorithm
Each food consumed by people contains a number of calories needed by the body to perform an activity. Calories can be described as fuel of engine to move and carry out tasks.
Daniel Halim, Seng Hansun
doaj +1 more source
Introduction of the weight edition errors in the Levenshtein distance [PDF]
Dans cet article, nous présentons une nouvelle approche dédiée à la correction des fautes d'orthographe de la langue arabe. Cette approche corrige les erreurs typographiques comme l'insertion, la suppression et la permutation. Notre méthode s'inspire de l'algorithme de Levenshtein et permet une programmation plus fine et meilleure que Levenshtein.
Hicham Gueddah +2 more
openaire +1 more source
DETEKSI PLAGIARISME MENGGUNAKAN ALGORITMA LEVENSHTEIN DISTANCE
Deteksi kesamaan dokumen untuk sistem plagiarisme termasuk dalam riset Natural Language Processing dalam bidang kecerdasan buatan. Plagiarisme banyak terjadi pada dokumen di lingkungan akademisi, begitupun yang terjadi pada PSMTS ULM. Deteksi plagiarisme diperlukan agar menjaga orisinalitas dari hasil tesis mahasiswa.
null Yuslena +2 more
openaire +2 more sources
Applications of ChatGPT in the Health Sector: A Systematic Literature Review
ABSTRACT The integration of large language models, particularly ChatGPT, into healthcare has attracted increasing attention due to their potential to support medical education, clinical decision‐making, administrative workflows, patient communication and clinical documentation.
Alejandro Martínez‐Burgos +3 more
wiley +1 more source
Comparison of partial orders clustering techniques
In this paper, we compare three approaches of clustering partial ordered subsets of a set of items. First approach was k-medoids clustering algorithm with distance function based on Levenshtein distance.
A. Raskin
doaj +1 more source
Abstract The exponential growth of scientific literature—over 2.5 million papers and 3.5 million patents annually—poses critical challenges for knowledge discovery. To address these, we propose SCIMKG (Scientific Knowledge Graph), a framework for constructing scientific knowledge graphs via multi‐source heterogeneous multi‐source.
Erxi Zhu, Yuan Hu
wiley +1 more source
Reference-free phylogeny from sequencing data
Motivation Clustering of genetic sequences is one of the key parts of bioinformatics analyses. Resulting phylogenetic trees are beneficial for solving many research questions, including tracing the history of species, studying migration in the past, or ...
Petr Ryšavý, Filip Železný
doaj +1 more source
This study integrated arterial stiffness with peripheral TCRβ repertoire and single‐cell transcriptomics in adults without cardiovascular disease, revealing a CD4+ T cell–driven “vascular immune remodeling” trajectory distinct from classical immunosenescence: increased TCR diversity, broad expansion of low‐frequency public clones and virus‐associated ...
Yu Miao +9 more
wiley +1 more source
Certified Robustness Under Bounded Levenshtein Distance
Text classifiers suffer from small perturbations, that if chosen adversarially, can dramatically change the output of the model. Verification methods can provide robustness certificates against such adversarial perturbations, by computing a sound lower bound on the robust accuracy.
Elías Abad-Rocamora +2 more
openaire +3 more sources

