Housing Price Prediction - Machine Learning and Geostatistical Methods by Cellmer Radosław, Kobylińska Katarzyna

“…Machine learning algorithms are increasingly often used to predict real estate prices because they generate more accurate results than conventional statistical or geostatistical methods. …”
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Deep graph representation learning: methods, applications, and challenges by ZHANG Xulong, QU Xiaoyang, XIAO Chunguang, WANG Jianzong

“…This paper presents a comprehensive survey of graph representation learning methods, categorizing them into traditional graph embedding methods and Graph Neural Network (GNN) based approaches. …”
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Deep learning-based near-field effect correction method for Controlled Source Electromagnetic Method and application by Wei Luo, Xianjie Chen, Shixing Wang, Siwei Zhao, Xiaokang Yin, Xing Lan, Peifan Jiang, Shaojun Wang

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Designing for Engagement: A Mixed-Methods Study of AR and Concept Mapping Method in Mobile Vocabulary Learning by Shuo-Fang Liu, An Yu Su, Yi Chieh Wu, Sheng-Fei Chien

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THE EFFECTS OF PROBLEM-BASED LEARNING METHOD ON STUDENTS’ LEARNING INDEPENDENCE OF CHEMISTRY LEARNING IN HIGH SCHOOL by Suyanta Suyanta, Endang W. Laksono, Novia Fitri Fadhilah, Ihwan Rizky

Subjects: “…problem-based learning method, learning independence…”
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Advanced Methods for Identifying Counterfeit Currency: Using Deep Learning and Machine Learning by Nama'a Hamed, Fadwa Al Azzo

“…In this work, we offer a thorough investigation of sophisticated methods for detecting counterfeit money that make use of deep learning and machine learning approaches. …”
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Comparison of Deep Learning Sentiment Analysis Methods, Including LSTM and Machine Learning by Jean Max T. Habib, A. A. Poguda

“…A combination of both approaches can also learning and feature-based selection methods can be used to solve be used to further improve the efficiency of the algorithm. some of the most pressing problems. …”
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Strengthening Literacy through Learning to Read with the Syllable Method by Sujarwoko Sujarwoko, Marista Dwi Rahmayantis, Suhartono Suhartono, Moch. Muarifin, Faisol Faisol, Sherly Nur Azizah, Alfika Fatkhiyatul Ilma

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The Implementation of the Tilawati Method in Learning Qur'an at Madrasah Aliyah by Khoirotul Idawati, Devind Camelia Rossa, Daeng Fuadi A Kadir Tajawok, Hanifudin

Subjects: “…Tilawati Method…”
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An autoencoder learning method for predicting breast cancer subtypes. by Zahra Rostami, Kavitha Mukund, Maryam Masnadi-Shirazi, Shankar Subramaniam

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Didactic and methodical principles of content and language integrated learning by Zara Mukhamcherievna Shadzhe

“…The purpose of the research is to consider the content and language integrated learning (CLIL) method and to identify elements of the method that correlate with the requirements of the Federal State Educational Standard of Higher Education. …”
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GNSS interference mitigation method based on deep learning by Feiqiang Chen, Feiqiang Chen, Zhe Liu, Zhe Liu, Long Huang, Long Huang, Yuchen Xie, Yuchen Xie, Binbin Ren, Qin Zhou

“…By leveraging a deep learning network model, our method automatically selects the optimal interference mitigation technique based on the specific characteristics of the interference. …”
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A Gesture Recognition Method Based on Deep Learning by DING Chi, LIN Jun, YOU Jun, YUAN Hao

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Sign language recognition method based on deep learning by He Mu

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The clinical method as a learning content in the medicine career. by Luis Alberto Corona Martínez

“…The clinical method constitutes an important content in the learning process of the medical career. …”
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The clinical method as a learning content in the medicine career. by Luis Alberto Corona Martínez

“…The clinical method constitutes an important content in the learning process of the medical career. …”
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Deep learning for predicting myopia severity classification method by WangMeiYu Xing, XiaoNa Li, JingShu Ni, YuanZhi Zhang, ZhongSheng Li, Yong Liu, YiKun Wang, Yao Huang

“…Results The experimental results show that the proposed method achieves an accuracy of 0.9104, a precision of 0.8154, a recall of 0.8177, an F1-score of 0.8147, and a specificity of 0.9376 in the classification of myopia severity. …”
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An autoencoder learning method for predicting breast cancer subtypes by Zahra Rostami, Kavitha Mukund, Maryam Masnadi-Shirazi, Shankar Subramaniam

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Investigation of Transfer Learning Method for Motor Fault Detection by Prashant Kumar, Saurabh Singh, Doug Young Song

“…A one-dimensional signal-to-image conversion technique is suggested for converting the vibration signal to images, and an Inception-ResNet-v2-inspired FD model is proposed for detecting bearing faults in the motor. The proposed method achieved a mean accuracy of more than 99%.…”
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Interpretable Learning Method Based on Causal Interactive Attention by Wu Song, Sheng Ren, Bin Hu

“…Current deep neural network models primarily use gradients or intermediate features to improve decision reliability, but most of the explanatory methods rooted in these features are post-hoc, with little direct influence on the classifiers’ decision outcomes. …”
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