Artificial-intelligence methods and machine-learning models have demonstrated their ability
to optimize, model, and automate critical water-and wastewater-treatment applications …

Over the past few years, neural networks have exhibited remarkable results for various
applications in machine learning and computer vision. Weight initialization is a significant …

Accurate prediction of the mechanical properties of concrete has been a concern since
these properties are often required by design codes. The emergence of new concrete …

Recently, the feed-forward neural network is functioning with slow computation time and
increased gain. The weight vector and biases in the neural network can be tuned based on …

As information acquisition terminals for artificial olfaction, chemiresistive gas sensors are
often troubled by their cross-sensitivity, and reducing their cross-response to ambient gases …

Flash flood is a typical natural hazard that occurs within a short time with high flow velocities
and is difficult to predict. In this study, we propose and validate a new soft computing …

Since dry bean varieties have different qualities and economic values, their separation is of
great importance in the field of agriculture. In recent years, the use of artificial intelligence …

The classification problems with imbalanced datasets widely exist in real word. An Extreme
Learning Machine is found unsuitable for imbalanced classification problems. This work …

Prediction of photovoltaic power is a significant research area using different forecasting
techniques mitigating the effects of the uncertainty of the photovoltaic generation …

Fashion is one of the most challenging categories for forecasting demand. Our study
provides a systematic literature review of the different forecasting techniques used in the …