Spatial-Temporal Similarity Correlation between Public Transit Passengers Using Smart Card Data by Hamed Faroqi, Mahmoud Mesbah, Jiwon Kim

“…The increasing availability of public transit smart card data has enabled several studies to focus on identifying passengers with similar spatial and/or temporal trip characteristics. …”
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A COMPARISON OF ARTIFICIAL NEURAL NETWORK AND NAIVE BAYES CLASSIFICATION USING UNBALANCED DATA HANDLING by Nila Lestari, Indahwati Indahwati, Erfiani Erfiani, Elisa D Julianti

“…Classification in machine learning will produce good performance if it has a balanced data class on the response variable. …”
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Course Scheduling Using Genetic Algorithms Enhanced by Linear Regression for Data Mining Course Participants by Arie Susetio Utami, Agust Isa Martinus, Freddy Wicaksono, Rangga Manggala Yudha

“…The linear regression method is used to predict the number of lecture participants using the 2019-2022 academic year data as model data and the 2023 academic year data as testing data to validate the prediction data. …”
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Accident Diagnosis and Evaluation System in Parking Lots Using Multisource Data Based on Bayesian Networks by Yijing Zhang, Zhan Zhang, Zhenyu Wang, Tongtong Lyu, Xianing Wang, Linjun Lu

“…This study integrates multisource data to establish a Bayesian diagnostic model for parking lot accidents. …”
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AI-based ACL Exercises Recognition System Using Wearable Multi-Sensor Data Fusion by Mohammed Ghanim Ayoub

“…This study investigates the accuracy of five machine learning algorithms, SVM, Decision Tree, Random Forest, Gradient boosting and KNN, with CNN in terms of their ability to classify ACL exercises. The data of seven ACL exercises, performed by four subjects, were collected using Accelerometer and gyroscope sensors, then these data were used to train the algorithms. …”
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Investigating Factors Contributing to Urban Traffic Incident Risk Using High-Resolution Heterogeneous Data by Dongpeng Zhu, Yuzhi Zhang, Dilin Wen, Linchao Li

“…High-resolution heterogeneous data are collected for 4207 grids which are used as the basic geographic units. …”
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Mixed-frequency VAR: a new approach to forecasting migration in Europe using macroeconomic data by Emily R. Barker, Jakub Bijak

“…Forecasting international migration is a challenge that, despite its political and policy salience, has seen a limited success so far. In this proof-of-concept paper, we employ a range of macroeconomic data to represent different drivers of migration. …”
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Brazil’s Daily Precipitation Concentration Index (CI) Using Alternative Fitting Equation and Ensemble Data by Gerardo Núñez-González

“…In recent years, precipitation concentration indices have become popular, and the daily precipitation concentration index has been widely used worldwide. This index is based on the Lorenz curve fitting. …”
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Expansion of Impervious Surface Area in Pekanbaru (1990–2018) and Predictions for 2038 Using Big Data by Wirawan Bayu Andrianto, Siregar Yusni Ikhwan, Sukendi Sukendi, Mulyadi Mulyadi

“…Climate change and biodiversity loss are two major ecological issues facing the world today, 25% of which are caused by land use change. The rate of development of the Pekanbaru City area has an impact on the phenomenon of Impervious Surface Area (ISA) growth that is inevitable in the suburbs. …”
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Robust control and data reconstruction for nonlinear epidemiological models using feedback linearization and state estimation by Balázs Csutak, Gábor Szederkényi

“…In this paper, we present a computational approach for the state estimation based reference tracking control and historical data reconstruction using nonlinear compartmental epidemic models. …”
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Geomorphological Analysis of Landslide Risks Using (RS) and (GIS) Data in ‎the Haditha Area, Western Iraq by Mohammed Adil Mohammed, Ahmed Flaieh Fayadh

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Condition monitoring and multi-fault classification of hydraulic systems using multivariate functional data analysis by Cevahir Yildirim, Alba M. Franco-Pereira, Rosa E. Lillo

“…The fault diagnosis of complex nonlinear systems, such as hydraulic systems, has become increasingly important due to advancements in big data analytics, machine learning (ML), Industry 4.0, and Internet of Things (IoT) applications. …”
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Landslide spatial prediction using data-driven based statistical and hybrid computational intelligence algorithms by Xia Zhao, Wei Chen, Paraskevas Tsangaratos, Ioanna Ilia, Qingfeng He

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Using isometric log-ratio in compositional data analysis for developing a groundwater pollution index by Junseop Oh, Kyoung-Ho Kim, Ho-Rim Kim, Sunhwa Park, Seong-Taek Yun

“…Using groundwater quality monitoring data from sites impacted by the 2010–2011 foot-and-mouth disease outbreak in South Korea, CoDa uncovers critical hydrochemical differences between leachate-influenced and background groundwater. …”
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Predicting Student Academic Performance at Higher Education Using Data Mining: A Systematic Review by Sarah A. Alwarthan, Nida Aslam, Irfan Ullah Khan

“…In addition, researchers in previous studies did not agree on whether the admission requirements have a strong relationship with students' achievement or not, indicating the need to address this issue. Moreover, it has been noticed that there are few studies which predict the student academic performance using students’ data in arts and humanities major.…”
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AI-Based Vehicle State Estimation Using Multi-Sensor Perception and Real-World Data by Julian Ruggaber, Daniel Pölzleitner, Jonathan Brembeck

“…With the rise of vehicle automation, accurate estimation of driving dynamics has become crucial for ensuring safe and efficient operation. …”
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Exploring the Effectiveness of Road Maintenance Interventions on IRI Value Using Crowdsourced Connected Vehicle Data by Riccardo Ceriani, Valeria Vignali, Davide Chiola, Margherita Pazzini, Matteo Pettinari, Claudio Lantieri

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Use of SLSTR Sea Surface Temperature Data in OSTIA as a Reference Sensor: Implementation and Validation by Chongyuan Mao, Simon Good, Mark Worsfold

“…The impacts of using SLSTR SSTs and the SLSTR as the reference sensor for the bias correction of other satellite data have been assessed using independent Argo float data. …”
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Artificial neural network forecast application for fine particulate matter concentration using meteorological data by M. Memarianfard, A.M. Hatami, M. Memarianfard

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Supervised Learning-Based Fault Classification in Industrial Rotating Equipment Using Multi-Sensor Data by Aziz Kubilay Ovacıklı, Mert Yagcioglu, Sevgi Demircioglu, Tugberk Kocatekin, Sibel Birtane

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