Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ayse Merve Acilar"'
Publikováno v:
Turkish Journal of Orthodontics, Vol 34, Iss 1, Pp 2-9 (2021)
Objective: This study aimed to evaluate the success rates of the artificial neural network models (NNMs) and naive Bayes models (NBMs) trained with various cervical vertebra ratios in cephalometric radiographs for determining growth and development.M
Externí odkaz:
https://doaj.org/article/82fc8911c2724a46a8657d35dc8d711d
Publikováno v:
Progress in Orthodontics, Vol 20, Iss 1, Pp 1-10 (2019)
Abstract Background Growth and development can be determined by cervical vertebrae stages that were defined on the cephalometric radiograph. Artificial intelligence has the ability to perform a variety of activities, such as prediction-classification
Externí odkaz:
https://doaj.org/article/9e00597c2a594eeeac0d562615036f6b
Publikováno v:
Progress in Orthodontics, Vol 20, Iss 1, Pp 1-10 (2019)
Progress in Orthodontics
Progress in Orthodontics
WOS: 000496707400001
PubMed: 31728776
Background Growth and development can be determined by cervical vertebrae stages that were defined on the cephalometric radiograph. Artificial intelligence has the ability to perform a variety of activi
PubMed: 31728776
Background Growth and development can be determined by cervical vertebrae stages that were defined on the cephalometric radiograph. Artificial intelligence has the ability to perform a variety of activi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8809fc0fb0f873c696488fdc0000692f
http://link.springer.com/article/10.1186/s40510-019-0295-8
http://link.springer.com/article/10.1186/s40510-019-0295-8
Publikováno v:
Turk J Orthod
Objective This study aimed to evaluate the success rates of the artificial neural network models (NNMs) and naive Bayes models (NBMs) trained with various cervical vertebra ratios in cephalometric radiographs for determining growth and development. M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29664ead02c5ffab7e3426746f6dfa18
https://europepmc.org/articles/PMC7990271/
https://europepmc.org/articles/PMC7990271/
Publikováno v:
Orthodonticscraniofacial researchREFERENCES. 24
Background We aimed to determine the growth-development periods and gender from the cervical vertebrae using the artificial neural network (ANN). Setting and sample population The cephalometric and hand-wrist radiographs obtained from 419 patients ag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03f484ce2b888f0ce0db97ee603fb94f
https://pubmed.ncbi.nlm.nih.gov/33232582
https://pubmed.ncbi.nlm.nih.gov/33232582
Publikováno v:
Artificial Intelligence and Applied Mathematics in Engineering Problems ISBN: 9783030361778
Teeth are a significant resource for determining the features of an unknown person, and gender is one of the important pieces of demographic information. For this reason, gender analysis from teeth is a current topic of research. Previous literature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a09bbee2ba0e8fb38714f0e9cf12d969
https://doi.org/10.1007/978-3-030-36178-5_34
https://doi.org/10.1007/978-3-030-36178-5_34
Publikováno v:
Arabian Journal for Science and Engineering. 43:7499-7520
In this study, a novel usage of four metaheuristic approaches Genetic algorithm (GA), Simulated annealing (SA), migrating bird optimization algorithm (MBO) and clonal selection algorithm (CSA) are applied to multidimensional two-way number partitioni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::582a9f0605317207d3b7abff378647ec
https://doi.org/10.1007/s13369-018-3155-9
https://doi.org/10.1007/s13369-018-3155-9
Autor:
Ahmet Arslan, Ayse Merve Acilar
Publikováno v:
Information Sciences. 264:158-181
In this study, we propose a novel approach for designing fuzzy classifiers. The first part of our approach is a new preprocess algorithm called SPP (silhouette cluster validity index aided pre-process via k-means). The SPP algorithm has been performe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26167b4b252bfa63626a770f7b452920
https://doi.org/10.1016/j.ins.2013.12.023
https://doi.org/10.1016/j.ins.2013.12.023