Comparison of different models for analyzing starch dynamic hydrolysis by Yuzhi Han, Cunxu Wei

“…This study could provide useful information for choosing fitting models for analyzing starch hydrolysis profiles.…”
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Analyzing Archive Transit Multibeam Data for Nodule Occurrences by Mark E. Mussett, David F. Naar, David W. Caress, Tracey A. Conrad, Alastair G. C. Graham, Max Kaufmann, Marcia Maia

“…We show that analyzing archived and future multibeam backscatter and bathymetry data, in tandem with regional environmental parameters, can help to identify polymetallic nodule fields in the world’s oceans. …”
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Aplicación de métodos de aprendizaje automático en el análisis y la predicción de resultados deportivos (Application of automated learning methods for analyzing and predicting sports outcomes) by César Soto Valero

“…In this work, we perform a review on automated learning methods used for analyzing quantitative sport data. In particular, we focus on the advantages offered by automated learning methods to solve two of the most complex problems in sports: performance analysis, and prediction of competitive outcomes. …”
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A Machine Learning Approach to Analyze Manpower Sleep Disorder by Reza Amiri

“…Machine learning can be applied to predict sleep disorders and analyze how various factors, such as lifestyle and environmental conditions, contribute to the development of these disorders, paving the way for more effective interventions and solutions. …”
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Throw and Catch: Analyzing the Synchronized Movements of Eyes and Joints in Children by Ziyu He, Hong Fu, Ruimin Li, Zhen Liang, Chetwyn C. H. Chan, Yanwen Xu, Yang Zheng

“…Additionally, detailed metrics related to predictive gaze behaviors and predictive hand movements for each catch event were obtained. …”
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The Significance of Name-Based Racial Composition in Analyzing Neighborhood Disparities by Karl Vachuska

“…This research suggests that infracategorical measures of race can provide additional predictive power to nominal measures of racial composition when analyzing neighborhood inequalities…”
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Machine learning-based analyzing earthquake-induced slope displacement. by Jiyu Wang, Niaz Muhammad Shahani, Xigui Zheng, Jiang Hongwei, Xin Wei

“…The findings suggest that the XGBoost model developed in this study is highly effective in predicting earthquake-induced slope displacement, offering valuable insights for early warning systems and slope stability management.…”
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Theoretical understanding of water splitting by analyzing nanocatalyst photoabsorption spectra by Gollapalli Prince, Caspary Toroker Maytal

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Modeling and Analyzing the Impact of Environmental Disturbances in Vessel Model Estimation by Beatriz Sanguino, Tongtong Wang, Guoyuan Li, Øyvind Kåre Kjerstad, Houxiang Zhang

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The Development of the Advanced Driver-Assistance System by Analyzing the Road Accidents by Diana GHEORGHE

“…This paper aims to emphasize the need for a method to decrease the number of accidents by examining the number of road accidents using Machine Learning techniques and configuring predictions based on historical data. Machine learning techniques have shown great potential in analyzing large-scale datasets related to road accidents. …”
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Analyzing key users’ behavior trends in volunteer-based networks by Nofar Piterman, Tamar Makov, Michael Fire

“…These algorithms allowed us to analyze the factors that significantly influence behavior predictions. …”
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Alert processing based on attack graph and multi-source analyzing by Wei-xin LIU, Kang-feng ZHENG, Bin WU, Yi-xian YANG

“…Current attack graph-based alert correlation cannot deal with graph relation between alerts properly,and a large number of redundant attack paths may arise when trying to find out missing alerts and predict future attacks.A multi-source alert analyzing method was proposed,fully utilizing graph relation and threshold to correlate mapped alerts and eventually reduce false positive rate as well as true negative rate.To improve the speed of the algorithm,a parallel alert processing system (AG-PAP) was proposed.AG-PAP is tested on distributed environment which gets satisfied effec-tiveness and performance.…”
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Models and methods for analyzing complex networks and social network structures by Ju. P. Perova, V. P. Grigoriev, D. O. Zhukov

“…In addition, statistical methods are used to compile data samples and analyze obtained results.…”
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Multi-site validation of an interpretable model to analyze breast masses. by Luke Moffett, Alina Jade Barnett, Jon Donnelly, Fides Regina Schwartz, Hari Trivedi, Joseph Lo, Cynthia Rudin

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Application and significance of SIRVB model in analyzing COVID-19 dynamics by Pavithra Ariyaratne, Lumbini P. Ramasinghe, Jonathan S. Ayyash, Tyler M. Kelley, Terry A. Plant-Collins, Logan W. Shinkle, Aoife M. Zuercher, Jixin Chen

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Analyzing students' academic performance using educational data mining by Sazol Sarker, Mahit Kumar Paul, Sheikh Tasnimul Hasan Thasin, Md. Al Mehedi Hasan

“…Thus, this study uses EDM techniques to analyze the performance of higher secondary students in Bangladesh. …”
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Methodology for Analyzing the Actual Technical Condition of Downhole Pumping Equipment by V. V. Ivashechkin, V. I. Krytskaya, V. N. Anufriev, O. A. Avrutin

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Detecting Learning Behavior in Programming Assignments by Analyzing Versioned Repositories by John Chen, Serena Lau, Juho Leinonen, Valerio Terragni, Nasser Giacaman

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On the Issue of Analyzing and Optimizing the Salary Budget of Professional Hockey Clubs by I. P. Kurochkina, L. A. Mamatova, E. B. Shuvalova, N. A. Malysheva

“…Comparing the salary shares predicted using the obtained model and their actual values, it was possible to determine the most overrated and underestimated defensemen of the National Hockey League in the 2018-2019 season.Conclusion. …”
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360 Using machine learning to analyze voice and detect aspiration by Cyril Varghese, Jianwei Zhang, Sara A. Charney, Abdelmohaymin Abdalla, Stacy Holyfield, Adam Brown, Hunter Stearns, Michelle Higgins, Julie Liss, Nan Zhang, David G. Lott, Victor E. Ortega, Visar Berisha

“…We propose the development and validation of an AI model that analyzes voice to noninvasively predict aspiration. …”
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