Papers by Charity O Egbunu
Advances in Applied Sciences, 2020
Bookmarks Related papers MentionsView impact
A common problem associated with hospitals especially the nontertiary hospitals (primary and seco... more A common problem associated with hospitals especially the nontertiary hospitals (primary and secondary hospitals) is long queue. Attempts have been made to address this using the ticket approach, however, this does not minimize crowd in and around hospitals. In the wake of the consciousness of the need to avoid crowd with the emergence of the Corona Virus (COVID-19), it has become important to note that some diseases are transmissible when people clinch close within a vicinity especially in the hospital environment. It is therefore imperative to devise a means to reduce the usual crowd witnessed at the different units/sections in the hospital, precisely by outpatients. In this study, a centralized queue control system was developed that can be used in the different sections of hospitals. The system applied Poisson Distribution, Haversine Model, Little’s Law and Kendall Notation. It is a web-based system, designed to run on the Internet as it focused on the outpatients and the fact t...
Bookmarks Related papers MentionsView impact
Journal of Computer Science and Information Technology, 2021
This study engaged the convolutional neural network in curbing losses in terms of resources that ... more This study engaged the convolutional neural network in curbing losses in terms of resources that farmers spends in treating animals where injuries must have emancipated from violence among other animals and in worst case scenario could eventually lead to death of animals. Animals in a ranch was the target and the study proposed a method that detects and reports activities of violence to ranchers such that farmers are relieved of the stress of close supervision and monitoring to avoid violence among animals. The scope of the study is limited to violence detection in cattle, goat, horse and sheep. Different machine learning models were built for each animal. The models yielded good results; the horse violence detection model had an outstanding performance of 93% accuracy, 93% accuracy for the sheep model, 88% accuracy for the goat model and 84% accuracy for the cattle model.
Bookmarks Related papers MentionsView impact
Journal of Computer Science and Information Technology
With the explosive growth in the world’s population which has little or no corresponding rise in ... more With the explosive growth in the world’s population which has little or no corresponding rise in the food production, food insecurity has become eminent, and hence, the need to seek for opportunities to increase food production in order to cater for this population is paramount. The second goal of the Sustainable Development Goals (SDGs) (i.e., ending hunger, achieving food security and improved nutrition, and promoting sustainable agriculture) set by the United Nations (UN) for the year 2030 clearly acknowledged this fact. Improving food production cannot be achieved using the obsolete conventional methods of agriculture by our farmers; hence, this study focuses on developing a model for predicting climatic conditions with a view to reducing their negative impact, and boosting the yield of crop. Temperature, wind, humidity and rainfall were considered as the effect of these factors is more devastating in Nigeria as compared to sun light which is always in abundance. We implemented ...
Bookmarks Related papers MentionsView impact
Applications of Modelling and Simulation, 2020
Diabetes has become one of the world deadliest disease. It is a sickness which occurs as a result... more Diabetes has become one of the world deadliest disease. It is a sickness which occurs as a result of increase in blood sugar level in the body. Most people living with it encounter various complications in their body organs if it remain undetected and untreated at the early stage. Most literatures considered all features of a diabetes dataset as risk factors in diagnosing diabetes and this has resulted to low classification accuracy and longer execution time since all the features in the dataset are involved in the classification process. Selecting the most relevant features as the risk factors improves the performance of classifiers in term of classification accuracy and other performance measures. This paper presents feature selection technique called Classifier Subset Evaluator (CSE) which selects most relevant risk factors for the prevalence of diabetes in the body. The selected features (risk factors) were passed to J48 decision tree (DT) classifier for training and testing, an...
Bookmarks Related papers MentionsView impact
With the explosive growth in the world's population which has little or no corresponding rise... more With the explosive growth in the world's population which has little or no corresponding rise in the food production, food insecurity has become eminent, and hence, the need to seek for opportunities to increase food production in order to cater for this population is paramount. The second goal of the Sustainable Development Goals (SDGs) (i.e., ending hunger, achieving food security and improved nutrition, and promoting sustainable agriculture) set by the United Nations (UN) for the year 2030 clearly acknowledged this fact. Improving food production cannot be achieved using the obsolete conventional methods of agriculture by our farmers; hence, this study focuses on developing a model for predicting climatic conditions with a view to reducing their negative impact, and boosting the yield of crop. Temperature, wind, humidity and rainfall were considered as the effect of these factors is more devastating in Nigeria as compared to sun light which is always in abundance. We implemen...
Bookmarks Related papers MentionsView impact
American Journal of Data Mining and Knowledge Discovery
Bookmarks Related papers MentionsView impact
International Journal of Data Science and Analysis
Bookmarks Related papers MentionsView impact
Diabetes has become one of the world deadliest disease. It is a sickness which occurs as a result... more Diabetes has become one of the world deadliest disease. It is a sickness which occurs as a result of increase in blood sugar level in the body. Most people living with it encounter various complications in their body organs if it remain undetected and untreated at the early stage. Most literatures considered all features of a diabetes dataset as risk factors in diagnosing diabetes and this has resulted to low classification accuracy and longer execution time since all the features in the dataset are involved in the classification process. Selecting the most relevant features as the risk factors improves the performance of classifiers in term of classification accuracy and other performance measures. This paper presents feature selection technique called Classifier Subset Evaluator (CSE) which selects most relevant risk factors for the prevalence of diabetes in the body. The selected features (risk factors) were passed to J48 decision tree (DT) classifier for training and testing, an...
Bookmarks Related papers MentionsView impact
Uploads
Papers by Charity O Egbunu