ASRIC Journal of Natural Sciences 2021 v1-i1

ISSN: 2795-3610

EISSN: 2795-3610

ASRIC Journal of Natural Sciences 2021 v1-i1

Abstract – 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 approaches to evaluate massive amounts of complex medical data, assisting healthcare providers in the prediction of heart disease.

Published: 2021-12-04

Articles

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

Geospatial ICT infrastructure for City Management in Africa: Case study of Ngaoundéré (Cameroon)

Tchotsoua Michel1, Ndjeuto Tchouli Innocent Prosper2, Petnga Nyamen Simon Pierre1, Mouhaman Issouhou2

The city of Ngaoundere is experiencing an accelerated and unplanned urban growth. Abundant rainfall accelerates flooding and erosion. Given its location near the Sahel, Ngaoundéré is also very exposed to the effects of climate change. With support from the World Bank, through the Global Mechanism for Disaster Reduction and Disaster Recovery Program and the Open Data for Resilience initiative of th

Borehole Water Quality within the Federal University of Technology, Akure, Nigeria

Samuel B. Akeju1, Ochuko M. Ojo2 and James R. Adewumi3

The aim of this study is to determine the quality of borehole water supplied within the Federal University of Technology, Akure, Nigeria in order to ascertain its suitability for drinking purpose. Water samples were procured from 16 boreholes within the Federal University of Technology, Akure. The physico-chemical parameters determined include turbidity, pH, total dissolved solids, chloride, nitra

Issues

ASRIC Journal of Natural Sciences 2024 v4-i2

ISSN: 2795-3629

EISSN: 2795-3610

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ASRIC Journal of Natural Sciences 2024 v4-i1

ISSN: 2795-3629

EISSN: 2795-3610

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ASRIC Journal of Natural Sciences 2023 v3-i1

ISSN: 2795-3610

EISSN: 2795-3629

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ASRIC Journal of Natural Sciences 2023 v3-i2

ISSN: 2795-3629

EISSN: 2795-3610

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ASRIC Journal of Natural Sciences 2022 v2-i1

ISSN: 2795-3610

EISSN: 2795-3629

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