ASRIC Journal on Natural Sciences 2021 v1-i1
ISSN: 2795-3610
EISSN: 2795-3629
ASRIC Journal on Natural Sciences 2021 v1-i1
Published: 2021-12-04
Articles
Scaling Outcome Correlated Binary Big Data Using Estimates of Bivariate Dispersion Parameters
Ahmed M. M. Elsayed 1, Nevein N. Aneis1
Abstract— Dispersion parameter should be the unity in the case of the univariate Bernoulli data. But there may be some deviations if there is a sequence of the Bernoulli outcomes, that may lead to Binomial case. Over (lower) dispersion criterion is happened if the variance of actual response, var(y), is more (less) than the nominal variance as a function of the mean, var(μ). This paper presents th
Machine Learning Techniques for improving study of Heart Disease Prediction System
Abdelmegeid Amin Ali1, Ashraf Heikal2, Eman M. Anwar2,3, Shaimaa M Hussien2,3
The heart is an important organ in human beings. Because even a slight error might result in weariness or death, diagnosing and forecasting cardiac disorders requires increased precision, perfection, and accuracy. There are innumerable heart-related deaths, and the number is increasing significantly every day. To address the issue, researchers use a variety of data mining and machine learning a
Water Scarcity - the Driving Force of Underdevelopment in Rural Areas of Developing Countries
Sasanya, Blessing Funmbi1, Adesogan, Sunday Olufemi2
Water scarcity results to socio-economic problems and health complications. Attempts at solving water scarcity problems, such as groundwater extraction and stream damming, are not easily attainable in some locations due to geological formations and hydrologic features. The aim of this study is to investigate health and socioeconomic effects, causes and remedy of water scarcity in rural communit
Using Machine Learning Techniques for predicting Email Spam
Hager Mohey Abohalfaya1, Someya Mohsen1
Email has become one of the most efficient and cost-effective methods of communication in recent years. However, as the number of email users grows, so does the number of spam emails. Email management has become a big and rising concern for both people and companies as a consequence of its sensitivity to abuse. Spam, or the unsolicited sending of unwanted email messages, is one example of misuse.
Issues
