Analyzing the learning behavior patterns of business english learners using deep learning technology by Xiaohui Zeng

“…This study employs deep learning technology to conduct a comprehensive analysis and prediction of learning behavior patterns among business English learners, making several innovative contributions. …”
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Technology-Enhanced Multimodal Learning Analytics in Higher Education: A Systematic Literature Review by Ozan Rasit Yurum

“…Multimodal learning analytics (MMLA) is an emerging field of learning analytics and promises a more comprehensive analysis of the learning process thanks to advances in technological devices and data science. …”
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QR Food Ordering System with Data Analytics by Chee-Chun Wong, Lee-Ying Chong, Siew-Chin Chong, Check-Yee Law

“…Machine learning has become a huge trend nowadays, it is also included to in the proposed system to forecast more valuable data for the business.…”
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An Efficient Deep Learning Framework for Revealing the Evolution of Characterization Methods in Nanoscience by Hui-Cong Duan, Long-Xing Lin, Ji-Chun Wang, Tong-Ruo Diao, Sheng-Jie Qiu, Bi-Jun Geng, Jia Shi, Shu Hu, Yang Yang

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A review of deep learning-based few sample fault diagnosis method for rotating machinery by Ke WU, Jun WU, Qiming SHU, Weiming SHEN, Wenbin SONG

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ENHANCING NETWORK INTRUSION DETECTION USING MACHINE LEARNING AND META-MODELLING FOR IMPROVED CYBER SECURITY PERFORMANCE by Sunita, Pankaj Verma, Nitika, Jaspreet Kaur, Vijay Rana

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Flipbook as Innovation of Digital Learning Media: Preparing Education for Facing and Facilitating 21st Century Learning by Roemintoyo Roemintoyo, Mochamad Kamil Budiarto

“…This research is a qualitative research with a survey method. Data collection techniques using observations and needs analysis questionnaires. …”
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Paranoid Schizophrenia Diagnosis via Complex Network Analysis on EEG Data by Miguel Angel Vargas Cruz

“…This study presents a novel approach leveraging complex network analysis and Discrete Fourier Transform (DFT) applied to electroencephalogram (EEG) data for the diagnosis of schizophrenia. …”
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Remote Sensing Time Series Analysis: A Review of Data and Applications by Yingchun Fu, Zhe Zhu, Liangyun Liu, Wenfeng Zhan, Tao He, Huanfeng Shen, Jun Zhao, Yongxue Liu, Hongsheng Zhang, Zihan Liu, Yufei Xue, Zurui Ao

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Use Python Data Analysis to Gain Insights from Airbnb Hosts by Zichun Tian

“…This paper uses Python and its external data processing package to conduct an in-depth analysis machine study of Airbnb review data. …”
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Tree networks of real-world data: Analysis of efficiency and spatiotemporal scales by Davide Cipollini, Lambert Schomaker

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Performance Analysis of Resampling Techniques for Overcoming Data Imbalance in Multiclass Classification by Anggit Larasati, Sugiyarto Surono, Aris Thobirin, Deshinta Arrova Dewi

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Analysis and Prediction of CET4 Scores Based on Data Mining Algorithm by Hongyan Wang

“…Based on the multiple linear regression algorithm, many factors affecting CET4 are analyzed. Ideas based on data mining, collecting history data and appropriate to transform, using statistical analysis techniques to the many factors influencing the CET-4 test were analyzed, and we have obtained the CET-4 test result and its influencing factors. …”
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Analysis of a mathematical model for malaria using data-driven approach by Adithya Rajnarayanan, Manoj Kumar, Abdessamad Tridane

“…This enables physics-constrained parameter inference, significantly enhancing predictive performance over purely data-driven approaches. Additionally, we implement Dynamic Mode Decomposition (DMD) to derive a data-driven transmission risk index from infection trajectory data, providing a novel and interpretable metric for real-time risk assessment.…”
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Combining handcrafted and learned features using deep learning to improve protein-protein interaction prediction performance by Tran Hoai Nhan, Nguyen Phuc Xuan Quynh, Le Anh Phuong

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Review of privacy computing techniques for multi-party data fusion analysis by LIU Shenglong, HUANG Xiuli, JIANG Yiwen, JIANG Jiawei, TIAN Yuechi, ZHOU Zejun, NIU Ben

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Road Traffic Accident Prediction Based on Multi-Source Data – A Systematic Review by Meiling HE, Guangrong MENG, Xiaohui WU, Xun HAN, Jiangyang FAN

“…This paper provides a detailed analysis of traffic accident prediction based on multi-source data. …”
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A big data analysis algorithm for massive sensor medical images by Sarah A. Alzakari, Nuha Alruwais, Shaymaa Sorour, Shouki A. Ebad, Asma Abbas Hassan Elnour, Ahmed Sayed

“…The smart sensor-based big data analysis recommendation system has significant privacy and security concerns when using sensor medical images for suggestions and monitoring. …”
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VORTEX (Variscite origin recognition technology X-ray based) Data. A European geoarchaeological green phosphate compositional datasetZenodo by Daniel Sánchez-Gómez, José Ángel Garrido-Cordero, José María Martínez-Blanes, Rodrigo Villalobos García, Manuel Edo i Benaiges, Ana Catarina Sousa, María Dolores Zambrana Vega, Ferran Borrell, Rosa Barroso Bermejo, Primitiva Bueno Ramírez, Carlos P. Odriozola

“…It has been used to develop a data-driven framework that integrates portable X-ray fluorescence (p-XRF) analysis and machine learning (ML), to determine the provenance of archaeological artifacts based on its elemental composition. …”
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Standardization for Data Generation and Collection in the Dairy Industry: Addressing Challenges and Charting a Path Forward by Michel Baldin, Jeffrey M. Bewley, Victor E. Cabrera, Kevin Jones, Connie Loehr, Gustavo Mazon, Juan D. Perez, Matthew Utt, Jeff Weyers

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