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Progress in Artificial Intelligence

Progress in Artificial Intelligence OnlineFirst articles

25-11-2021 | Regular Paper

Analysis and forecasting of rivers pH level using deep learning

The pH level of oceans has been largely monitored and studied to make sure that aquatic ecosystems are thriving. However, the pH level of other large bodies of waters, such as rivers, has largely been glanced over. Many rivers contain very …

23-11-2021 | Regular Paper

A semantic approach based on domain knowledge for polarity shift detection using distant supervision

One of the main challenges in sentiment analysis is the polarity shift. Studies have shown that the detection of polarity shifts is very effective to improve the accuracy of sentiment analysis. However, the problem of polarity shift detection has …

22-11-2021 | Regular Paper

Online and offline teaching connection system of college ideological and political education based on deep learning

The teaching methods demonstrate that a classical ideological and political teaching (IPT) approach pays attention to students' critical role in learning. The public teaching course is a simple mandatory course in regular schools for …

06-11-2021 | Regular Paper

Detection and recognition of concrete cracks on building surface based on machine vision

Surface cracks need to be detected regularly to ensure the safety of concrete buildings. For the sake of efficiency and accuracy, concrete surface cracks are detected by machine vision technology. This paper briefly introduced the convolutional …

28-10-2021 | Regular Paper

Fast and robust online-learning facial expression recognition and innate novelty detection capability of extreme learning algorithms

Facial Expression Recognition (FER) is a task usually framed as predicting an emotional state given a facial image. FER has received numerous attentions from both business and academia as it could serve as a crucial component in various …

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About this journal

The journal is published in cooperation with the Iberian associations of artificial intelligence, AEPIA and APPIA, and the Editorial Board includes leading international figures in all related research topics.

This journal publishes top-level research results in all aspects of artificial intelligence, with a particular emphasis on the following topics: data mining; soft computing and computational intelligence; knowledge, complexity, logic, planning, reasoning and search; agents and multiagent systems; artificial vision and robotics; and natural language and Web intelligence.

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