Deep Learning-Based Sentiment Analysis Using Gated Recurrent Unit by Najeem Olawale Adelakun, Mariam Adenike Lasisi

“…This study addresses this challenge by employing a deep learning-based approach using Gated Recurrent Units (GRU) for sentiment analysis, thereby enhancing the accuracy of financial market predictions. …”
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Analysis of Madrasah Aliyah Teachers’ Difficulties in the Implementation of the Independent Learning Curriculum by Abdul Walid, Abdul Razzaq, Andi Kamal Ahmad

“…The data analysis techniques used were Data Reduction, Data Presentation, and Conclusion Drawing. …”
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ANALYSIS OF INTERPRETATION ABILITY AND MATHEMATICAL DISPOSITION BASED ON STUDENTS' LEARNING MOTIVATION by Silmi Nursyahidah, Supratman Supratman, Sinta Verawati Dewi

“…Data analysis was conducted using the Miles and Huberman model, encompassing data reduction, data presentation, and conclusion drawing. …”
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IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning by U. A. Vishniakou, Xia YiWei

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Ensemble Learning-Based Soft Computing Approach for Future Precipitation Analysis by Shiu-Shin Lin, Kai-Yang Zhu, Chen-Yu Wang, Chou-Ping Yang, Ming-Yi Liu

“…Nonlinear principal component analysis can extract nonlinear features from the data, reduce dimensionality, and minimize the adverse effects of data noise and excessive input factors on soft computing, which may otherwise result in poor model performance. …”
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Analysis Study of the Problems of Arabic Language Learning at Junior High School by yuswandi, Danial Hilmi

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Interpreting microbiologically influenced stress corrosion with machine learning and theoretical analysis by Bo Liu, Boxin Wei, Cuiwei Du, Xiaogang Li

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A Descriptive Analysis of Project Based Learning Result in ESP Class by Puspa Fortuna Zulfa

“…This study aims to describe the result of Project Based Learning in ESP Class. Utilizing qualitative research and descriptive analysis, this research employed Information System and Information Technology major students of first-year to be the objects. …”
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Application of machine learning in acute upper gastrointestinal bleeding: bibliometric analysis by Qun Li, Guolin Chen, Qiongjie Li, Dongna Guo

“…The study found that these papers mainly focus on three core research hotspots: deepening clinical consensus, precise analysis of medical images, and optimization of data integration and decision support systems.ConclusionsThis study summarizes the latest advancements in the application of machine learning to AUGIB research. …”
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Automated Seizure Detection through EEG Analysis and Deep Learning Technique by Srinivas Nowduri, M. Madhusudhana Subramanyam

“…The network has nine convolutional layers and one fully-connected layer, which learn the features hierarchically and identify epileptic seizures through the EEG analysis. …”
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A Machine Learning Approach for User Behavior Analysis in Developing Websites by Aeesha Shaheen

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Course on Educational Web-Content Accessibility: Analysis of Online Learning Results by Ye. A. Kosova

“…The paper deals with the analysis of the learning outcomes of non-degree students in the first online course in the Russian Federation on the development of accessible educational webcontent. …”
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Analysis of Students' Understanding of Concepts in Straight Motion Material in Physics Learning by Fera Maya Fitriyani, Siti Rohmah, Boby Yasman Purnaman, Bahman Zohuri

“…Data retrieval analysis technique in which each student is able to solve questions which can be analyzed using 3 indicators, namely: (1) students can restate a concept, (2) utilize arithmetic operations, (3) classify and Students are able to give an example or not an example. …”
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STUDENTS’ DIFFICULTIES IN LEARNING SPEAKING AT THE UNIVERSITY LEVEL: AN ANALYSIS OF CONTRIBUTING FACTORS by Ningtyas Orilina Argawati, Bachrudin Musthafa, Gin Gin Gustine

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A Social Media Sentiment Analysis Using Machine Learning Approaches by Noor Salah Irzooqi Al-Agele, Didem KIVANÇ TÜRELİ

“…With consideration for the most suitable models for precisely classifying sentiments within social media data, this study aims to evaluate the efficacy of machine learning algorithms in analyzing sentiment text that people post or comment on Twitter, thus bridging the research gap in the analysis of sentiment in an understudied domain. a set of machine learning algorithms was applied along with feature extraction methods, including TF-IDF and Natural Language Processing (NLP). …”
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Mental Health of Z-Generation Analysis of Learning Process and Social Interaction by Muhammad Ali, Wahyu Retno

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Preliminary Analysis for Development of Google Sites Web-Based Learning Media by Susanti, Rita Fitriani

“…Based on the research data, it can be concluded that it is necessary to develop learning media in the form of Websites Google.…”
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Learning confidence analysis: A case study in educational communication courses by Fitri Mutia Fajrin, Henry Praherdiono, Yerry Soepriyanto

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Categorizing students into groups according to their learning attitudes based on cluster analysis by Janchiv Shinebayar, Badarch Jadamba, Ochirbat Altangoo, Raash Namjildagva, Tumurbaatar Ganbaatar, Ravdandorj Togoo, Sukhbaatar Batchuluun

“…In this paper, we briefly introduce the results of the analysis on the test data of twelve grade students in Mongolia. …”
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Analysis of the application of biomechanics to the prevention of sports injuries in physical education learning by Muhammad Surur, Resty Gustiawati

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