Predicting carbon peak at the provincial level using deep learning by Xiaoyan Tang, Kunsheng Fang

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Knowledge Graph Entity Similarity Calculation under Active Learning by Lianhuan Li, Zheng Zhang, Shaoda Zhang

“…To address the objectives of the adaptive learning platform, the requirements of the system in terms of business, functionality, and performance are mainly analysed, and the design of functions and database is completed; then, an updatable learner model is constructed based on the cognitive diagnosis model and resource preference attributes; then, the construction of the knowledge map is completed based on embedding to achieve knowledge point alignment, and based on this, the target knowledge points of learners are located with the help of deep learning; at the same time, the target knowledge points are taken as the starting point to generate the best learning path by traversing the knowledge map, and the corresponding learning resources and test questions are recommended for them with the help of the architecture; finally, the adaptive learning platform is developed in the environment using the architecture. …”
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Being in the teaching laboratory: explorations of material agents in student learning by Rie Malm

“… The laboratory has long been conceptualised as central for learning science in higher education. Students are provided with possibilities to learn content, develop skills, and thereby gain confidence working in a laboratory. …”
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Globality-Locality Preserving Maximum Variance Extreme Learning Machine by Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Dongyu Zhang, Shaowu Zhang, Xiaochao Fan, Chen Shen, Deqin Yan

“…An extreme learning machine (ELM) is a useful technique for machine learning; however, the existing extreme learning machine methods cannot exploit the geometric structure information or discriminate information of the data space well. …”
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Machine learning in echocardiography-based prediction model of cardiovascular diseases by Zubaire Yasheng, Ruohan Zhao, Ye Zhu, Zisang Zhang, Qing Lv, Mingxing Xie, Li Zhang, Ting Gao

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E-LEARNING CHALLENGES IN POLAND DURING THE COVID-19 PANDEMIC by Agieszka Parlińska

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Adobe flash based learning media development in economic lessons by Muh. Fahrurrozi, Mohzana Mohzana

“…This study aims to determine the development of adobe flash-based audio-visual learning media in economic subjects, to determine the feasibility of adobe flash-based audiovisual learning media as a learning medium in the learning process, to determine student assessments in using adobe flash-based audiovisual learning media in subjects the economy. …”
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EVLearn: extending the cityLearn framework with electric vehicle simulation by Tiago Fonseca, Luis Lino Ferreira, Bernardo Cabral, Ricardo Severino, Kingsley Nweye, Dipanjan Ghose, Zoltan Nagy

“…Results validated the extension of CityLearn, where the impact of these strategies is highlighted through a comparative simulation scenario.…”
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Music Emotion Research Based on Reinforcement Learning and Multimodal Information by Yue Hu

“…The model dynamically adjusts the emotional analysis results by learning the user’s behavior, so as to realize the personalized customization of the user’s emotional preference.…”
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Credit card fraud detection through machine learning algorithm by Agyan Panda, Bharath Yadlapalli, Zhi Zhou

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Translation Invariance-Based Deep Learning for Rotating Machinery Diagnosis by Wenliao Du, Shuangyuan Wang, Xiaoyun Gong, Hongchao Wang, Xingyan Yao, Michael Pecht

“…Discriminative feature extraction is a challenge for data-driven fault diagnosis. Although deep learning algorithms can automatically learn a good set of features without manual intervention, the lack of domain knowledge greatly limits the performance improvement, especially for nonstationary and nonlinear signals. …”
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THE ACCEPTANCE OF AN EDUCATIONAL INTEGRATED DEVELOPMENT ENVIRONMENT TO LEARN PROGRAMMING FUNDAMENTALS by Nor Farahwahida Mohd Noor, Aslina Saad, Abu Bakar Ibrahim, Norashady Mohd Noor

“…However, previous research shows that students face difficulties in learning programming due to its abstract concepts. …”
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Drone Landing and Reinforcement Learning: State-of-Art, Challenges and Opportunities by Jose Amendola, Linga Reddy Cenkeramaddi, Ajit Jha

Subjects: “…Deep reinforcement learning…”
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THE IMPORTANCE OF USING DICTIONARY iN LANGUAGE LEARNING AND TEACHING by Ece SARIGÜL

“…<p>THE IMPORTANCE OF USING DICTIONARY iN LANGUAGE<br />LEARNING AND TEACHING</p>…”
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A Machine Learning Approach to Predict Air Quality in California by Mauro Castelli, Fabiana Martins Clemente, Aleš Popovič, Sara Silva, Leonardo Vanneschi

“…In this paper, we employ a popular machine learning method, support vector regression (SVR), to forecast pollutant and particulate levels and to predict the air quality index (AQI). …”
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Robust ensemble of handcrafted and learned approaches for DNA-binding proteins by Loris Nanni, Sheryl Brahnam

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Student Engagement Dataset (SED): An Online Learning Activity Dataset by M. S. S. Kassim, Z. H. Azizul, A. A. H. Ahmad Fuaad

Subjects: “…Learning analytics…”
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Application of Reinforcement Learning in Cognitive Radio Networks: Models and Algorithms by Kok-Lim Alvin Yau, Geong-Sen Poh, Su Fong Chien, Hasan A. A. Al-Rawi

“…Examples of the enhancements on RL, which do not appear in the traditional RL approach, are rules and cooperative learning. This paper also reviews performance enhancements brought about by the RL algorithms and open issues. …”
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USE OF LEARNING MANAGEMENT SYSTEMS IN HIGHER EDUCATION: PROGRESS AND POTENTIAL by S. V. BOGOLEPOVA, N. V. MALKOVA

Subjects: “…learning management system (lms)…”
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Hypergraph User Embeddings and Session Contrastive Learning for POI Recommendation by Yan Zhang, Bin Wang, Qian Zhang, Sulei Zhu, Yan Ma

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