[HTML][HTML] Performance analysis of the water quality index model for predicting water state using machine learning techniques

MG Uddin, S Nash, A Rahman, AI Olbert - Process Safety and …, 2023 - Elsevier
Existing water quality index (WQI) models assess water quality using a range of
classification schemes. Consequently, different methods provide a number of interpretations …

Indonesian Sentiment Analysis: An Experimental Study of Four Kernel Functions on SVM Algorithm with TF-IDF

PH Prastyo, I Ardiyanto… - … Conference on Data …, 2020 - ieeexplore.ieee.org
Recently, Indonesian sentiment analysis is a hot research field, especially for twitter data.
Many approaches can be used to classify people's sentiment on Twitter. One of the best …

Effect of polynomial, radial basis, and Pearson VII function kernels in support vector machine algorithm for classification of crayfish

FH Garabaghi, R Benzer, S Benzer, AÇ Günal - Ecological Informatics, 2022 - Elsevier
Freshwater crayfish are one of the most important aquatic organisms that play a pivotal role
in the aquatic food chain as well as serving as bioindicators for the aquatic ecosystem health …

Bitcoin ransomware detection employing rule-based algorithms

HS Talabani, HMT Abdulhadi - Science Journal of University of …, 2022 - sjuoz.uoz.edu.krd
Cryptocurrencies have completely altered the digital transaction process all over the globe.
Almost a decade after Satoshi Nakamoto generated the first Bitcoin block; many …

[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 …

Comparative study of supervised machine learning algorithms on thoracic surgery patients based on ranker feature algorithms

HMT Abdulhadi, HS Talabani - UHD Journal of Science and …, 2021 - journals.uhd.edu.iq
Thoracic surgery refers to the information gathered for the patients who have to suffer from
lung cancer. Various machine learning techniques were employed in post-operative life …

Using cascade generalization and neural networks to select cryotherapy method for warts

P Kraipeerapun… - … on Engineering, Science …, 2019 - ieeexplore.ieee.org
In this paper, complementary neural networks are applied to cascade generalization.
Complementary neural networks comprise two neural networks trained to predict truth and …

[PDF][PDF] Ensemble models for predicting warts treatment methods

AO Bajeh, HO Adeleke, HA Mojeed… - Journal of …, 2021 - jestec.taylors.edu.my
Wart is the skin infection medically known to be caused by Human Papillomavirus. There are
several methods for treating this skin illness among which are immunotherapy and …

Concept of hidden classes in pattern classification

R Hrebik, J Kukal - Artificial Intelligence Review, 2023 - Springer
Our paper presents a novel approach to pattern classification. The general disadvantage of
a traditional classifier is in too different behaviour and optimal parameter settings during …

[PDF][PDF] Investigation of factors affecting immunotherapy treatment results by binary logistic regression and classification analysis

B Durmuş, Öİ Güneri - International Journal of Innovative …, 2020 - scholar.archive.org
There are many factors that affect the success of immunotherapy treatment. In addition to the
clinical examination, the investigation of these factors by different methods contributes to the …