Flood prediction has gained prominence world over due to the calamitous socio-economic
impacts this hazard has and the anticipated increase of its incidence in the near future …

Communities globally experience devastating effects, high monetary loss and loss of lives
due to incidents of flood and other hazards. Inadequate information and awareness of flood …

Flood forecasting at Jamtara gauging site of the Ajay River Basin in Jharkhand, India is
carried out using an artificial neural network (ANN) model, an adaptive neuro-fuzzy …

Growing imperviousness and urbanization have increased peak flow magnitude which
results in flood events specifically during extreme conditions. Precise and reliable multi-step …

Flooding causes several threats with outcomes which include peril to human and animal life,
damage to property, and adversity to agricultural fields. Therefore, flood prediction is of …

This study aimed to develop novel flood forecasting models using artificial neural network
(ANN) algorithms. The models were assessed and validated for the case study of an alluvial …

Adaptive neuro-fuzzy inference system (ANFIS) includes two novel GIS-based ensemble
artificial intelligence approaches called imperialistic competitive algorithm (ICA) and firefly …

This paper couples an adaptive neuro-fuzzy inference system (ANFIS), with two heuristic-
based computation methods namely biogeography-based optimization (BBO) and BAT …

It will be useful to attain a quick and accurate flood forecasting, particularly in a flood-prone
region. The accomplishment of this objective can have far reaching significance by …

With the advancement of computer science, Artificial Intelligence (AI) is being incorporated
into many fields to increase prediction performance. Disaster management is one of the …