Evaluating the Performance of Python-Based Machine Learning in Earthquake-Resistant Building Design by Sameh Fuqaha, Guntur Nugroho

“…This study investigates the feasibility of applying artificial intelligence (AI)-based machine learning techniques, specifically a Multiple Linear Regression (MLR) model implemented in Python, for earthquake-resistant building design. …”
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Optimizing Deep Learning Algorithms for Effective Chicken Tracking through Image Processing by Saman Abdanan Mehdizadeh, Allan Lincoln Rodrigues Siriani, Danilo Florentino Pereira

“…The complexity of these environments demands robust and adaptive algorithmic approaches for the accurate detection and tracking of birds over time, ensuring reliable data analysis. This study aims to enhance methodologies for automated chicken identification in videos, addressing the dynamic and non-standardized nature of poultry farming environments. …”
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Locality-Preserving Multiprojection Discriminant Analysis by Jiajun Ma

“…Linear discriminant analysis (LDA), as an effective feature extraction method, has been widely applied in high-dimensional data analysis. …”
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CINNAMON: A hybrid approach to change point detection and parameter estimation in single-particle tracking data by Jakub Malinowski, Marcin Kostrzewa, Michał Balcerek, Weronika Tomczuk, Janusz Szwabiński

“…A potential use of features from topological data analysis is also discussed.…”
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Methodology for Estimating the Cost of Construction Equipment Based on the Analysis of Important Characteristics Using Machine Learning Methods by Nataliya Boyko, Oleksii Lukash

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The Lifelong Learning Scale Through an Indonesian Lens: An Adaptation and Validation Study by Marchya Carina Exaudy Rikumahu, Heru Astikasari Setya Murti

“…The confirmatory factor analysis yielded χ² = 319, RMSEA = 0.056, SRMR = 0.038, CFI = 0.930, and NFI = 0.905, indicating that the model fit the empirical data. …”
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Applying a K-means model to TSD data to find categories for the structural assessment of flexible pavements by Mahdi Rahimi Nahoujy

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A big data dynamic approach for adaptive music instruction with deep neural fuzzy logic control by Dong Li, Zhenfang Liu

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Development of Decline Curve Analysis Parameters for Tight Oil Wells Using a Machine Learning Algorithm by Weirong Li, Zhenzhen Dong, John W. Lee, Xianlin Ma, Shihao Qian

“…Next, a machine learning technique was applied to establish a model between the input data and determining parameters of a decline curve analysis model by fitting the generated cumulative production rate. …”
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How artificial intelligence can enable data classification for market sizing - Insights from applications in practice by L. Stallings, P. Bhat, J. Jacobs, K. Lynch, Q. Risch

“…The authors present an approach for classification of data from one of these sources, facilitating aggregation and analysis of intelligence information. …”
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Machine Learning-enhanced loT and Wireless Sensor Networks for predictive analysis and maintenance in wind turbine systems by Lei Gong, Yanhui Chen

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Sports Education in Senior High Schools: Analysis of Educational Technology Learning (ETL) During Covid-19 by Ade Rahmat, Iskandar Iskandar

“…Qualitative descriptive analysis study using data collection techniques and instruments, namely documentation techniques and questionnaire techniques with randomly selected samples. …”
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South Africa Crime Visualization, Trends Analysis, and Prediction Using Machine Learning Linear Regression Technique by Ibidun Christiana Obagbuwa, Ademola P. Abidoye

“…Many traditional approaches to data analysis in crime-related studies have been done in South Africa, but the machine learning approach has not been adequately considered. …”
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Comparative Analysis of Machine Learning Approaches for Fetal Movement Detection with Linear Acceleration and Angular Rate Signals by Lucy Spicher, Carrie Bell, Kathleen H. Sienko, Xun Huan

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Analysis of Mathematics Learning Difficulties Among 8th-Grade Students at SMP Unimuda Pulau Arar by Gilda Leonora Fenetiruma, Dwi Pamungkas, Henny Ari Astutik

“…Data analysis in this study used the Miles and Huberman data analysis technique. …”
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Analysis of immune characteristics and inflammatory mechanisms in COPD patients: a multi-layered study combining bulk and single-cell transcriptome analysis and machine learning by Changjin Wei, Yongfeng Zhu, Caiming Chen, Feipeng Li, Li Zheng

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Analyzing and Predicting the Agronomic Effectiveness of Fertilizers Derived from Food Waste Using Data-Driven Models by Ksawery Kuligowski, Quoc Ba Tran, Chinh Chien Nguyen, Piotr Kaczyński, Izabela Konkol, Lesław Świerczek, Adam Cenian, Xuan Cuong Nguyen

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Exploring nonlinear and interaction effects of urban campus built environments on exercise walking using crowdsourced data by Bo Lu, Bo Lu, Qingyun Liu, Hao Liu, Tianxiang Long, Tianxiang Long

“…This study examines universities in Wuhan, China, using crowdsourced data and machine learning methods to analyze the nonlinear and interactive effects of campus built environments on exercise walking.MethodsThis study utilized crowdsourced exercise walking data and incorporated diverse campus characteristics to construct a multidimensional variable system. …”
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A Dual-Template Prompted Mutual Learning Generative Model for Implicit Aspect-Based Sentiment Analysis by Zhou Lei, Yawei Zhang, Shengbo Chen

“…In the implicit sentiment analysis experiment, the F1 score of the proposed model in the data subset containing implicit words is increased by 2.75% and 3.42%, respectively.…”
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Machine Learning Methods as a Tool for Analysis and Prediction of Impact Resistance of Rubber–Textile Conveyor Belts by Miriam Andrejiova, Anna Grincova, Daniela Marasova, Zuzana Kimakova

“…The results of the model analysis show that the most powerful model, ANN, explains up to 99.6% of the data variability. …”
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