S
Safial Islam Ayon
Researcher at Khulna University of Engineering & Technology
Publications - 14
Citations - 671
Safial Islam Ayon is an academic researcher from Khulna University of Engineering & Technology. The author has contributed to research in topics: Travelling salesman problem & Naive Bayes classifier. The author has an hindex of 6, co-authored 11 publications receiving 243 citations. Previous affiliations of Safial Islam Ayon include Green University of Bangladesh.
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Predictive Data Mining Models for Novel Coronavirus (COVID-19) Infected Patients’ Recovery
TL;DR: The results of the present study have shown that the model developed with decision tree data mining algorithm is more efficient to predict the possibility of recovery of the infected patients from COVID-19 pandemic with the overall accuracy of 99.85% which stands to be the best model developed among the models developed with other algorithms.
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Diabetes Prediction: A Deep Learning Approach
TL;DR: This work proposes a strategy for the diagnosis of diabetes using deep neural network by training its attributes in five-fold and ten-fold crossvalidation fashion and results exhibit that the proposed system provides promising results in case of five- fold cross-validation.
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Coronary Artery Heart Disease Prediction: A Comparative Study of Computational Intelligence Techniques
TL;DR: Diseases is an unusual circumstance that affects single or more parts of a human’s body and because of lifestyle and patrimonial, different kinds of disease are increasing day by day.
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Discrete Spider Monkey Optimization for Travelling Salesman Problem
TL;DR: An effective variant of SMO to solve TSP called discrete SMO (DSMO), where every spider monkey represents a TSP solution where Swap Sequence and Swap Operator based operations are employed, which enables interaction among monkeys in obtaining the optimal T SP solution.
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Wearable Technology to Assist the Patients Infected with Novel Coronavirus (COVID-19)
Md. Milon Islam,Saifuddin Mahmud,L. J. Muhammad,Md. Rabiul Islam,Sheikh Nooruddin,Safial Islam Ayon +5 more
TL;DR: The goal of this paper is to discuss the different existing wearable monitoring devices and respiratory support systems which are frequently used to assist the coronavirus affected people and to select the best technology for COVID-19 infected patients.