An inherent problem in software engineering is that competing prediction systems have
been found to produce conflicting results. Yet accurate prediction is crucial because the …

Long short-term memory neural networks have been proposed as a means of creating
accurate models from large time series data originating from various fields. These models …

Big data is a combination of large structured, semistructured, and unstructured data
collected from various sources that must be processed before using them in many analytical …

Tourism industry shows a positive growth and uphold an important role in national economy
as the second largest portion of foreign exchange contributor, as well as its role in national …

Abstract Artificial Neural Networks are widely used in prediction activities and classification
processes. However, the implementation on average only uses a network architecture with …

Sustainable energy development plays a prominent role in energy planning to maintain
natural resources and mitigate the usage of fossil fuels. The atmospheric factor is one of the …

The proposed study in this paper provides long-term crop prediction for Tamilnadu, India.
Nonlinear Autoregressive (NAR) Neural Network (NN) with different parameter settings has …

By conserving natural resources and reducing the consumption of fossil fuels, sustainable
energy development plays a crucial role in energy planning. Specifically, demand-side …

The ability to distinguish between edible aromatic plants treated with insecticides holds the
attention of researchers in view of the toxicity of insecticides in human health. The malathion …

Forecasting the future price movements and the market trend with combinations of technical
indicators and machine learning techniques has been a broad area of study and it is …