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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 …

Abhay Srivastava, Alberto Cano

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 …

Zahra Ayeste , Samira Noferesti

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 …

Fenghua Qi, Yongqing Chang, K. Ramesh, P. Hemalatha

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 …

Xiaofei Zhu

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 …

Sarutte Atsawaraungsuk, Tatpong Katanyukul, Pattarawit Polpinit, Nawapak Eua-anant

23.10.2021 | Regular Paper

Prediction of national agricultural products wholesale price index in China using deep learning

The national agricultural products wholesale price index (NPI), as a main statistical indicator to reflect and evaluate the states of agricultural products wholesale market in China, can help people keep better track of agricultural products …

Miaomiao Ji, Peng Liu, Zhao Deng, Qiufeng Wu

18.10.2021 | Regular Paper

Semi-causal decision trees

Typically, classification algorithms use correlation analysis to make decisions. However, these decisions and the models they learn are not easily understandable for the typical user. Causal discovery is the field that studies the means to find …

Ana Rita Nogueira, Carlos Abreu Ferreira, João Gama

29.09.2021 | Regular Paper

Interpretable entity meta-alignment in knowledge graphs using penalized regression: a case study in the biomedical domain

In recent times, the use of knowledge graphs has been massively adopted so that many of these graphs can even be found publicly on the Web. This makes that solutions for solving interoperability problems among them might be in high demand. The …

Jorge Martinez-Gil, Riad Mokadem, Franck Morvan, Josef Küng, Abdelkader Hameurlain

13.09.2021 | Regular Paper

Analysis of the teaching quality using novel deep learning-based intelligent classroom teaching framework

Ideological is an adjective that defines theological, political and cultural views. An ideology is a bunch of ideas, and those with an ideological stand follow the main idea. The demanding characteristics of college ideological and political …

Feng Geng, Alfred Daniel John, Chandru Vignesh Chinnappan

12.09.2021 | Regular Paper

Improving link prediction in social networks using local and global features: a clustering-based approach

Link prediction problem has increasingly become prominent in many domains such as social network analyses, bioinformatics experiments, transportation networks, criminal investigations and so forth. A variety of techniques has been developed for …

S. Ghasemi, A. Zarei

03.09.2021 | Regular Paper

Feature recognition of student using heuristic political effective evaluation reinforcement learning algorithm

The accomplishments of the students are reflected by ideological and political emotions within the school. A major factor is the risk factors in the lack of team cohesion in the ideological and political schools, the expansion of the environmental …

Rui Wu, Zeye Huang, Zongming Zhou, R. Gayathri, R. Premalatha

25.08.2021 | Regular Paper

A deep learning model for innovative evaluation of ideological and political learning

College students’ creative ideological and political curriculum should combine current development in education, adhere to associated norms and rules, and adapt educational principles and procedures to ensure balanced success. IPE can produce …

Baojing Zhang, Vinothraj Velmayil, V. Sivakumar

21.08.2021 | Regular Paper Open Access

Knowledge-based sentence semantic similarity: algebraical properties

Determining the extent to which two text snippets are semantically equivalent is a well-researched topic in the areas of natural language processing, information retrieval and text summarization. The sentence-to-sentence similarity scoring is …

Mourad Oussalah, Muhidin Mohamed

21.08.2021 | Regular Paper

SVGPM: evolving SVM decision function by using genetic programming to solve imbalanced classification problem

In supervised learning, imbalanced class dataset is a state where the class distribution is not uniform among the classes. Most standard classifiers fail to properly identify pattern that belongs to minority class because most of those classifiers …

Muhammad Syafiq Mohd Pozi, Nur Athirah Azhar, Abdul Rafiez Abdul Raziff, Lina Hazmi Ajrina

17.08.2021 | Regular Paper

An esteemed maximum utility pattern mining: special children assessment analysis

High utility mining is the act of looking at enormous available databases for identifying the new most valid information. Contrasted with existing utility pattern mining figures the utility of item sets by thinking about the number of items. Past …

R. Dhanalakshmi, B. Muthukumar, R. Aroulcanessane

10.08.2021 | Regular Paper

A green fuzzy multi-objective approach to the RNP problem for LTE networks

The development of future wireless access networks often results in very high energy consumption. To reduce this consumption, decision-makers (DM) minimize the number of base stations ( $$\hbox {BS}_s$$ BS s ) installed while using a dynamic BS …

Soufiane Dahmani, Mohammed Gabli, Abdelhafid Serghini

04.08.2021 | Regular Paper

Automatic scoring of arabic essays over three linguistic levels

The importance of open questions requiring argumentative answers to assess student’s competence, along with the increasing number of people applying to colleges, have increased the demand to have systems which automatically score written essays.

Waleed Alsanie, Mohamed I. Alkanhal, Mohammed Alhamadi, Abdulaziz O. Alqabbany

04.08.2021 | Regular Paper

Predicting human behavior in size-variant repeated games through deep convolutional neural networks

We present a novel deep convolutional neural network (DCNN) model for predicting human behavior in repeated games. The model is the first deep neural network presented on repeated games that is able to be trained on games with arbitrary size of …

Afrooz Vazifedan, Mohammad Izadi