Learning behavior analysis and personalized recommendation system of online education platform based on machine learning by Feng Ma

“…A learning behavior analysis model is constructed using a machine learning algorithm by collecting a large amount of learning behavior data from online education platforms, such as learning duration, frequency of course visits, homework completion, interaction records, etc. …”
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Analysis of students' mathematical communication skills in terms of learning styles through realistic mathematics learning by Indika Irkhamni, Muhamad Najibufahmi

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Machine Learning and Deep Learning for Diagnosis of Lumbar Spinal Stenosis: Systematic Review and Meta-Analysis by Tianyi Wang, Ruiyuan Chen, Ning Fan, Lei Zang, Shuo Yuan, Peng Du, Qichao Wu, Aobo Wang, Jian Li, Xiaochuan Kong, Wenyi Zhu

“…Although increasing studies of traditional machine learning (TML) and deep learning (DL) were conducted in the field of diagnosing LSS and gained prominent results, the performance of these models has not been analyzed systematically. …”
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Artificial Intellect Systems in Today’s Economic Environment by N. V. Barinova, V. R. Barinov

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Churn prediction for SaaS company with machine learning by Hugo Eduardo Sanches, Ayslan Trevizan Possebom, Linnyer Beatrys Ruiz Aylon

“…Design/methodology/approach – Through a preprocessing and normalization of data, seven machine learning algorithms were applied. …”
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A Comparative Analysis of Machine Learning and Deep Learning Techniques for Accurate Market Price Forecasting by Olamilekan Shobayo, Sidikat Adeyemi-Longe, Olusogo Popoola, Obinna Okoyeigbo

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Exploring housing price dynamics in sustainable cities through a cooperated big data driven machine learning method: case study on a typical city in China by Feng Han, Meiqu Lu, Donghong Qin, Guitao Zheng, Guihong Zeng, Yan Tan, Zhongyang Wu, Haijian Lu, Jun Wang, Yirong Deng, Hui He

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Rapid Colorectal Tissue Classification Using Data-Driven Raman Techniques by Jakub Tomes, Daniela Janstova, Shayestegan Mohsen, Alla Sinica, Zuzana Kovacova, Jaromir Petrtyl, Jan Mares

“…In this study, we present a rapid procedure for Raman tissue analysis and classification using machine learning methods, including both supervised and hybrid supervised-unsupervised approaches, to distinguish between healthy and pathological cases based on Raman spectroscopy data. …”
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Reduction algorithm based on supervised discriminant projection for network security data by Fangfang GUO, Hongwu LYU, Weilin REN, Ruini WANG

“…In response to the problem that for dimensionality reduction, traditional manifold learning algorithm did not consider the raw data category information, and the degree of clustering was generally at a low level, a manifold learning dimensionality reduction algorithm with supervised discriminant projection (SDP) was proposed to improve the dimensionality reduction effects of network security data.On the basis of the nearest neighbor matrix, the label information of the raw data category was exploited to construct a supervised discriminant matrix in order to translate unsupervised popular learning into supervised learning.The target was to find a low dimensional projective space with both maximum global divergence matrix and minimum local divergence matrix, ensuring that the same kind of data was concentrated and heterogeneous data was scattered after dimensionality reduction projection.The experimental results show that the SDP algorithm, compared with the traditional dimensionality reduction algorithms, can effectively remove redundant data with low time complexity.Meanwhile the data after dimensionality reduction is more concentrated, and the heterogeneous samples are more dispersed, suitable for the actual network security data analysis model.…”
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Learning Power Systems Waveform Incipient Patterns Through Few-Shot Meta-Learning by Lixian Shi, Qiushi Cui, Yang Weng, Yigong Zhang, Shilong Chen, Jian Li, Wenyuan Li

“…However, traditional detection methods cannot achieve satisfactory performance when faced with limited data. Besides, some signal analysis methods based on waveform conversion to images cannot obtain understandable image data and cannot analyze both current and voltage signals simultaneously. …”
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CyclicAugment: Optimized Medical Image Analysis via Adaptive Augmentation Intensity by Min-Jun Kim, Jung-Woo Chae, Hyun-Chong Cho

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Comprehensive Analysis of Programmed Cell Death-Related Genes in Diagnosis and Synovitis During Osteoarthritis Development: Based on Bulk and Single-Cell RNA Sequencing Data by Zhou J, Jiao S, Huang J, Dai T, Xu Y, Xia D, Feng Z, Chen J, Li Z, Hu L, Meng Q

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Urban tree species benchmark dataset for time series classificationEasyData - Data Terra by Clément Bressant, Romain Wenger, David Michéa, Anne Puissant

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Analysis of Financial Reports in Companies Using Machine Learning by Piven Artem

“…Specific technologies of text generation using neural networks were analyzed, and the potential and prospects of machine learning in the creation of text data based on the analysis of financial reports were investigated. …”
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Pilot Maneuvering Performance Analysis and Evaluation with Deep Learning by Shiwen Zhang, Zhimei Huo, Yanjin Sun, Fujuan Li, Bo Jia

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Histopathological Image Analysis Using Deep Learning Framework by Sudha Rani Vupulluri, Jogendra Kumar Munagala

“…While training deep learning models for histopathology image analysis, this study tackles data collection, preprocessing, and annotation. …”
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Predicting Stock Market by Sentiment Analysis and Deep Learning by Süreyya, Özögür Akyüz, Pınar, Karadayı Ataş, Aymane Benkhaldoun

“…Many companies have previously modified time-series analysis, a data mining technique, to forecast stock price movement. …”
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ANALYSIS OF STUDENTS’ SOCIAL SKILLS ON COOPERATIVE LEARNING IN SCIENCEEDUCATION by Arif Jatmiko, Insih Wilujeng

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Analysis of the Phenomenon of Student Discipline Problems in the Learning Process by Risa Ambelia, Abdul Muhaimin, syahdanu Putra Ritonga, Tria Sucierawati

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Use of artificial intelligence for liver diseases: A survey from the EASL congress 2024Keypoints by Laura Žigutytė, Thomas Sorz-Nechay, Jan Clusmann, Jakob Nikolas Kather

Subjects: “…Deep learning…”
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