EARTHQUAKE PROGNOSIS USING MACHINE LEARNING

Earthquake prognosis using machine learning

One of the deadliest and riskiest natural disasters is an earthquake.They often occur without a warning or Hiball Glasses any further alert.Therefore there was a need for its prognosis as it is extremely important for mankind as well as the environment.In this project, the successful application of machine learning techniques have been used Bridesm

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Health and social needs of older adults in slum communities in Ghana: a phenomenological approach used in 2021

Abstract Slum-dwellers lack several essential amenities (such as water, sanitation, and electricity) which make them more vulnerable than non-slum dwellers.As there is limited to no access to health and social care services in slums, the slum environment is expected to be an even more dangerous environment for older adults, negatively impacting the

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