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Article
Open AccessA Meta-learner approach to multistep-ahead time series prediction
The utilization of machine learning has become ubiquitous in addressing contemporary challenges in data science. Moreover, there has been significant interest in democratizing the decision-making process for s...
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Article
Open AccessAutomatic detection of weeds: synergy between EfficientNet and transfer learning to enhance the prediction accuracy
The application of digital technologies to facilitate farming activities has been on the rise in recent years. Among different tasks, the classification of weeds is a prerequisite for smart farming, and variou...
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Article
Open AccessA big data smart agricultural system: recommending optimum fertilisers for crops
Nutrients are important to promote plant growth and nutrient deficiency is the primary factor limiting crop production. However, excess fertilisers can also have a negative impact on crop quality and yield, ca...
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Article
Open AccessStructural textile pattern recognition and processing based on hypergraphs
The humanities, like many other areas of society, are currently undergoing major changes in the wake of digital transformation. However, in order to make collection of digitised material in this area easily ac...
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Article
Semantic Search by Latent Ontological Features
Both named entities and keywords are important in defining the content of a text in which they occur. In particular, people often use named entities in information search. However, named entities have ontologi...