Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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0UY39
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
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Samples from roadside dust collected from different stations in Forces Avenue, Old GRA, Port Harcourt, Rivers State, Nigeria were digested (mineralized) and subsequently analyzed for heavy metals concentration. The result of the investigation showed that Iron (Fe) was the most abundant metal detected in the roadside. The highest value of Fe was obtained in station 2, which was 81.40±8.12 mg/Kg. The order of concentration of the metals was iron (Fe) >zinc (Zn) > nickel (Ni) > copper (Cu) > lead (Pb) >cadmium (Cd) > chromium (Cr). The mean concentrations of the heavy metals from the various stations was: Fe (71.08±5.38), Zn (47.34±6.05), Ni (25.27±0.99), Cu (18.08±0.93), Pb (0.54±0.05), Cd (0.36±0.03) and Cr (0.18±0.05) mg/Kg. Contamination factor analysis showed that the Forces Avenue area is within contamination category, but not yet polluted with heavy metals. Geo-accumulation index and ecological risk assessment interpretations showed that the concentration of heavy metals in the environment arose from natural factors and pose no ecological risk to the environment. However, adequate care and control should be put in place to put the environment under check to avert possible rise in the concentrations of the metals especially Zn, Ni and Cu.
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