Suspended sediment yield (SSY) prediction plays a crucial role in the planning of water
resource management and design. Accurate sediment prediction using conventional models …

It has been claimed throughout the last two decades that hydrological machine learning
(ML) models may produce more accurate and resilient simulations than previous …

Rivers are dynamic geological agents on the earth which transport the weathered materials
of the continent to the sea. Estimation of suspended sediment yield (SSY) is essential for …

Rivers are the agents on earth and act as the main pathways for transporting the continental
weathered materials into the sea. The estimation of suspended sediment yield (SSY) is …

Fruit and vegetable processing has a significant impact on the environment due to its
consumption of a significant amount of water. Water consumption mainly depends on the …

COVID-19 prediction models are highly welcome and necessary for authorities to make
informed decisions. Traditional models, which were used in the past, were unable to reliably …

Suspended sediment load estimation is vital for the development of river initiatives, water
resources management, the ecological health of rivers, determination of the economic life of …

College education has also widely adopted new media technology, which has changed the
previous single teaching method and enriched the teaching content. Art education plays an …

The optimal regime models implement parameters presented by nominal values, intervals,
fuzzy models, intuitionistic models. Unfortunately, these models are restrictive and ignore a …

Using sparrow search algorithm (SSA) to optimize neural network model is easy to fall into
local extremum, which leads to low accuracy of soft sensor. To solve this problem, this paper …