DiaBD: A diabetes dataset for enhanced risk analysis and research in BangladeshMendeley Data by Tabia Tanzin Prama, Md. Jobayer Rahman, Marzia Zaman, Farhana Sarker, Khondaker A. Mamun

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Liquid Biopsy Based Bladder Cancer Diagnostic by Machine Learning by Ērika Bitiņa-Barlote, Dmitrijs Bļizņuks, Sanda Siliņa, Mihails Šatcs, Egils Vjaters, Vilnis Lietuvietis, Miki Nakazawa-Miklaševiča, Juris Plonis, Edvīns Miklaševičs, Zanda Daneberga, Jānis Gardovskis

“…<b>Methods</b>: This study combined molecular biology methods for liquid biopsy, routine clinical data, and application of machine learning approach for the acquired data analysis. …”
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Survey of IP geolocation: theory, methods, and innovative applications by LIU Xueting, TAI Wenxin, ZHOU Fan, WANG Yong, CHEN Kai

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YLOMF: You Look Once for Multi-Feature&#x2014;A Multi-Feature Multi-Task Network for Intelligent Real-Time Perception in Autonomous Driving by B. N. Anoop, S. K. Abhilash, Venu Madhav Nookala, S. Prita, S. Raghavendra

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Machine Learning Model for Processing Aerospace Images of the Earthʼs Surface by T. F. Starovoitova, I. A. Starovoitov

“…The methodology for creating a machine learning model includes defining the goals and objectives of the model, selecting an appropriate learning algorithm (in this case, neural networks), collecting and preparing a data set, tuning the model, and testing on a test data set. …”
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IT Parkinson’s Disease Diagnostics Based on the Freezing of Gait Analysis Using Long Short Term Memory Neural Network by U. A. Vishniakou, Xia YiWei

“…An analysis of methods for processing data from gait deceleration sensors for detecting Parkinson’s disease and a description of the development of a Parkinson’s recognition system based on neural networks with long short term memory (LSTM) are performed. …”
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Artificial Intelligence and Big Data in Digital International Relations by S. V. Shitkov

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Comparative Analysis of Prediction Models for Trawling Grounds of the Argentine Shortfin Squid <i>Illex argentinus</i> in the Southwest Atlantic High Seas Based on Vessel Position... by Delong Xiang, Yuyan Sun, Hanji Zhu, Jianhua Wang, Sisi Huang, Shengmao Zhang, Famou Zhang, Heng Zhang

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Lung Cancer Prediction Using an Enhanced Neutrosophic Set Combined with a Machine Learning Approach by Vakeel A. Khan, Asheesh Kumar Yadav, Mohammad Arshad, Nadeem Akhtar

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Analysis of students’ conceptual change in learning Newton’s third law with an integrated framework of model analysis and knowledge integration by Yi Ding, Guangtian Zhu, Qiuxin Bian, Lei Bao

“…Conceptual change is fundamental to science learning, highlighting the processes of students’ transitions from predominantly relying on alternative views to using scientific ones. …”
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A Data-Driven Visualization Approach for Life-Cycle Cost Analysis of Open-Cut and Trenchless CIPP Methods for Sanitary Sewers: A PRISMA Systematic Review by Gayatri Thakre, Vinayak Kaushal, Eesha Karkhanis, Mohammad Najafi

“…The findings reveal limited use of artificial intelligence (AI) or machine learning (ML) in predicting CIPPRT costs. A bibliometric analysis using VOSviewer visualizes the results. …”
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Topology for gaze analyses - Raw data segmentation by Oliver Hein, Wolfgang H. Zangemeister

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CLASSIFICATION BASED ON DECISION SPACES by V. V. Krasnoproshin, V. R. Rodchanka

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Comparative analysis of data-driven models for spatially resolved thermometry using emission spectroscopy. by Ruiyuan Kang, Dimitrios C Kyritsis, Panos Liatsis

“…Two categories of data-driven methods are analyzed: (i) Feature engineering and classical machine learning algorithms, and (ii) end-to-end convolutional neural networks (CNN). …”
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Sliding-Window CNN + Channel-Time Attention Transformer Network Trained with Inertial Measurement Units and Surface Electromyography Data for the Prediction of Muscle Activation an... by Aoyang Bai, Hongyun Song, Yan Wu, Shurong Dong, Gang Feng, Hao Jin

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Comparative Analysis of Time Series Prediction Algorithms on Multiple Network Function Data of NWDAF by Dasheng Chen, Qi Song, Yinbin Zhang, Ling Li, Zhiming Yang

“…In comparison to 4G technology, 5G technology brings forth a host of new features, one of which is the network data analytics function (NWDAF). This function grants network operators the flexibility to either employ their own data analytics methodologies based on machine learning (ML) and deep learning (DL) into their networks. …”
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Analysis of Creativity and Attitudes Caring The Environment of Junior High School Students: Study of Environmental Physics Learning Using Learning Modules by T. Amelia, S. Jumini, A. Khoiri

“…The data analysis technique used one-party t-test. The results showed that ethnoscience-based integrated science learning can foster environmental awareness and student creativity and can improve environmental care and student creativity in ethnoscience-based integrated science learning, in the medium category. …”
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Machine Learning-Based Sentiment Analysis in English Literature: Using Deep Learning Models to Analyze Emotional and Thematic Content in Texts by Jie Yu, Chunhong Qi

“…Future directions include exploring multimodal data integration and expanding the application of deep learning in the humanities.…”
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MODELING THE PROFITABILITY OF TELECOMMUNICATION SUB-SECTOR STOCKS USING PANEL DATA REGRESSION ANALYSIS by Ni Putu Nanik Hendayanti, Maulida Nurhidayati

“…This study aims to model telecommunications subsector companies' profitability on the Indonesian stock exchange using panel data regression analysis. The panel data regression analysis mixes cross-section data and time series data in which the same cross-section unit is sampled at various times. …”
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The Impact of the SMOTE Method on Machine Learning and Ensemble Learning Performance Results in Addressing Class Imbalance in Data Used for Predicting Total Testosterone Deficiency... by Mehmet Kivrak, Ugur Avci, Hakki Uzun, Cuneyt Ardic

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