Multivariate bounded support Laplace mixture model

M Azam, N Bouguila - Soft Computing, 2020 - Springer
In this paper, bounded Laplace mixture model (BLMM) is proposed. The parameters of
proposed model are estimated by maximum likelihood approach via expectation …

Multivariate‐bounded Gaussian mixture model with minimum message length criterion for model selection

M Azam, N Bouguila - Expert Systems, 2021 - Wiley Online Library
Bounded support Gaussian mixture model (BGMM) has been proposed for data modelling
as an alternative to unbounded support mixture models for the cases when the data lies in …

Wart treatment method selection using AdaBoost with random forests as a weak learner

MA Putra, NA Setiawan, S Wibirama - Communications in science and …, 2018 - cst.kipmi.or.id
Selection of wart treatment method using machine learning is being a concern to
researchers. Machine learning is expected to select the treatment of warts such as …

Combined intralesional injection of tuberculin purified protein derivative plus cryotherapy versus each alone in the treatment of multiple common warts

H Ibrahim, M El Taieb, E Nada, E Kamal… - Dermatologic …, 2022 - Wiley Online Library
Different modalities are used for treatment of common warts, but none of them had been
proved the best in achieving complete cure. We aim to compare the effect of cryotherapy …

[HTML][HTML] Microwave therapy for the treatment of plantar warts

W Hagon, J Hagon, G Noble, A Brenton-Rule… - Journal of Foot and …, 2023 - Springer
Background Plantar warts, or verrucae plantaris, are common lesions causing considerable
pain during weightbearing activity. Although current treatment modalities have low success …

The selection of wart treatment method based on synthetic minority over-sampling technique and axiomatic fuzzy set theory

W Jia, H Xia, L Jia, Y Deng, X Liu - Biocybernetics and Biomedical …, 2020 - Elsevier
Wart disease is a kind of skin illness that is caused by Human Papillomavirus (HPV). Many
medical studies are being carried out with the aid of machine learning and data mining …

Implementasi Algoritma Naïve Bayes dan K-Nearest Neighbor Dalam Menentukan Tingkat Keberhasilan Immunotherapy Untuk Pengobatan Penyakit Kanker Kulit

FLD Cahyanti, W Gata, F Sarasati - Jurnal Ilmiah Universitas …, 2021 - ji.unbari.ac.id
Cancer is a disease that grows in the skin tissue where this condition is characterized by
changes in the skin, such as the appearance of lumps, spots, or moles with abnormal sizes …

[PDF][PDF] Random forest weighting based feature selection for c4. 5 algorithm on wart treatment selection method

HW Nugroho, TB Adji, NA Setiawan - Int. J. Adv. Sci. Eng. Inf. Technol, 2018 - core.ac.uk
Research in the field of health, especially treatment of wart disease has been widely
practiced. One of the research topics related to the treatment of wart disease is in order to …

[PDF][PDF] Numerical study of reinforced Concrete beam by using ABAQUS software

S Al Hasani, HA Nasrellah… - International Journal of …, 2021 - scholar.archive.org
Cracks are serious problems in the structural characteristics of a concrete structure due to
several failure modes such as, flexural and shear. Reinforced concrete behaviour is …

Isotretinoin and Candida immunotherapy for recalcitrant warts in solid organ transplant recipients

M Herold, C Nielson, MI Longo - Dermatologic therapy, 2019 - Wiley Online Library
Abstract Treatment of recalcitrant warts in solid organ transplant recipients (SOTR) can pose
a therapeutic challenge for dermatologists. Successful treatment of recalcitrant warts can …