Recent advancements in neural network methodologies have revolutionised hydrological forecasting, enabling more accurate, robust and computationally efficient predictions of water resource dynamics.

Accurate stock trend forecasting is a central challenge in financial economics due to the highly nonlinear and interdependent nature of market dynamics. Traditional statistical and machine learning ...

If you have ever asked yourself why Google Translate has become much better at translating in recent years, the answer is because of artificial neural networks. Since November 2016, the company's ...

Increasingly, AI models are able make short-term weather forecasts with surprising accuracy. But neural networks only predict based on patterns from the past—what happens when the weather does ...

Journal of Urban and Environmental Engineering, Vol. 3, No. 1 (January to June, 2009), pp. 1-6 (6 pages) Abstract: Without a doubt the carried sediment load by a river is the most important factor in ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

We propose a new machine-learning-based approach for forecasting Value-at-Risk (VaR) named CoFiE-NN where a neural network (NN) is combined with Cornish-Fisher expansions (CoFiE). CoFiE-NN can capture ...

Artificial intelligence in the retail market is expected to grow from an estimated $10.7 billion in annual revenue in 2023 to $127 billion over 10 years. according to Future Market Insights. The ...

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in ...

As the world grapples with the energy crisis and environmental concerns, the focus on renewable energy sources has intensified. Lithium-ion batteries, with their high energy density and low pollution, ...

Artificial intelligence models can produce weather forecasts up to 100,000 times faster than traditional systems. Researchers ...