Spatiotemporal distribution characteristics of Nanjing place names-Based on data mining of Tang-Song poetry and online travelogues. by Weiya Zhang, Zhicheng Lai, Shu Tang

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A comparative study of machine learning classifiers for intelligent fault diagnosis of electric vehicles based on FMECA data by Leila Boucerredj, Nadir Benalia

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An IoT-enabled AI system for real-time crop prediction using soil and weather data in precision agriculture by MD Shaifullah Sharafat, Nilavro Das Kabya, Rahimul Islam Emu, Mehrab Uddin Ahmed, Jakaria Chowdhury Onik, Mohammad Aminul Islam, Riasat Khan

“…Objective: This study aims to develop an IoT-based crop prediction system that utilizes real-time data on soil nutrients, pH, and weather conditions. …”
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Comparison of K-Means and K-Medoids Algorithms for Clustering Poverty Data in South Sumatra Using DBI Evaluation by M. Dandi Akhda, Ken Ditha Tania

“…This implementation provides insight into how data clustering techniques can be applied to socio-economic data to provide policy makers in a region with information about the region, especially information about poverty-stricken areas.…”
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Groundwater Storage Estimation in the Saskatchewan River Basin Using GRACE/GRACE-FO Gravimetric Data and Machine Learning by Mohamed Hamdi, Anas El Alem, Kalifa Goita

“…To characterize this impact, remote sensing and machine learning are essential tools to analyze the data accurately and efficiently. This study aims to predicting the variations of groundwater storage (GWS) using GRACE/GRACE-FO and multi-source remote sensing data, combined with machine learning techniques. …”
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Examining Nasdaq Market Data and Presenting an Optimized Model by Extreme Gradient Boosting Regression and Artificial Bee Colony by Ali Ahmadpour

“…These optimization techniques aim to enhance the model's predictive performance by improving parameter tuning and model generalization. …”
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Tactics and strategy analysis in professional badminton: insights from match data and performance metrics- a systematic review by Eval Edmizal, Dally Rahman, Eri Barlian, Donie Donie, Alnedral Alnedral

“… Background and Goal of Study: Professional badminton is a sport that requires a combination of physical skills and tactical strategies. This study aims to analyze the tactics and techniques applied in professional badminton systematically matches to improve understanding of the factors influencing athlete performance. …”
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BLOCK STRUCTURE OF THE SOUTHERN KURAI BASIN OF GORNY ALTAI ACCORDING TO GEOELECTRIC DATA COMPARED TO THE DISTRIBUTION OF EARTHQUAKE EPICENTERS by A. M. Sanchaa, N. N. Nevedrova, P. V. Ponomarev

“…Using a combination of the research techniques and the method of interpretation based on data inversion, it becomes possible to select optimal models, ensure higher reliability, and improve the contents of the study. …”
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Integrating Biological Domain Knowledge with Machine Learning for Identifying Colorectal-Cancer-Associated Microbial Enzymes in Metagenomic Data by Burcu Bakir-Gungor, Nur Sebnem Ersoz, Malik Yousef

“…Conventional feature selection techniques often evaluate features individually and fail to leverage biological knowledge during metagenomic data analysis. …”
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Evaluating municipal solid waste management efficiency in Iceland: A data envelopment analysis of socioeconomic and geographic influences by Guðmundur Kristján Óskarsson, Sveinn Agnarsson, Brynhildur Davíðsdóttir

“…Utilizing Data Envelopment Analysis (DEA) and regression techniques, the research seeks to provide insights into the challenges that municipalities face in managing waste effectively, particularly regarding their unique socioeconomic and geographic characteristics.The analysis covers 48 of Iceland's 69 municipalities from 2019 to 2021, employing input- and output-oriented DEA models. …”
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NDEExplorer: Visual Analytics for Exploring Damage Modes via Multimodal Data in the Non-Destructive Examination of Composite Materials by Dongliang Guo, Lisha Zhou, Xingfa Luo

“…Therefore, we propose a visual analytics system, NDEExplorer, aimed at solving these problems through visual analytics techniques. …”
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Optimization of Lecturers' Understanding of OBE Curriculum and 4 Literacies (Human, Language, Data, Digital) at State University of Medan by Abil Mansyur, Fajar Apollo Sinaga, Muliawan Firdaus, Maya Octora, Marlan Marlan, Tiur Malasari Siregar

“…The research employs a qualitative descriptive approach, using data collection techniques such as surveys, interviews, and focus group discussions (FGDs) involving 100 lecturers from various faculties at the State University of Medan. …”
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Leveraging Machine Learning for Pediatric Appendicitis Diagnosis: A Retrospective Study Integrating Clinical, Laboratory, and Imaging Data by Mahdi Navaei, Zohre Doogchi, Fatemeh Gholami, Moein Kermanizadeh Tavakoli

“…ABSTRACT Background and Aims Appendicitis is the most common surgical emergency in pediatric patients, requiring timely diagnosis to prevent complications. …”
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A scoping review of machine learning models to predict risk of falls in elders, without using sensor data by Angelo Capodici, Claudio Fanconi, Catherine Curtin, Alessandro Shapiro, Francesca Noci, Alberto Giannoni, Tina Hernandez-Boussard

“…Abstract Objectives This scoping review assesses machine learning (ML) tools that predicted falls, relying on information in health records without using any sensor data. The aim was to assess the available evidence on innovative techniques to improve fall prevention management. …”
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Evaluating the thickness of thin-bed seams using seismic data on the example of the Tula-Bobrikovian sediments in the Republic of Tatarstan by B. V. Platov, R. I. Khairutdinova, A. I. Kadirov

“…However, owing to the limited vertical resolution of seismic data, estimating thicknesses of thin deposits (less than 20 m) is challenging.Aim. …”
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Leveraging the Potential of PRISMA Hyperspectral Data for Forest Tree Species Classification: A Case Study in Southern Italy by Gabriele Delogu, Miriam Perretta, Eros Caputi, Alessio Patriarca, Cassandra Carroll Funsten, Fabio Recanatesi, Maria Nicolina Ripa, Lorenzo Boccia

“…In this study, hyperspectral data from PRISMA were used with the aim of testing the applicability of PRISMA with different band sizes to classify tree species in highly biodiverse forest environments. …”
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Meeting Global Health Needs via Infectious Disease Forecasting: Development of a Reliable Data-Driven Framework by Ravikiran Keshavamurthy, Karl T Pazdernik, Colby Ham, Samuel Dixon, Samantha Erwin, Lauren E Charles

“…ObjectiveTo meet the operational decision-making needs of real-world circumstances, we aimed to build a standardized, reliable, and trustworthy ID forecasting pipeline and visualization dashboard that is generalizable across a wide range of modeling techniques, IDs, and global locations. …”
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Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning by Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, Punit Fulzele

“…<b>Method:</b> This study addresses these issues by employing boosting algorithms, for enhanced classification accuracy. To mitigate data imbalance, a random sampling technique is applied, ensuring a balanced representation of Alzheimer’s and healthy cases. …”
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Predicting Livestock Farmers’ Attitudes towards Improved Sheep Breeds in Ahar City through Data Mining Methods by Jabraeil Vahedi, Masoumeh Niazifar, Mohammad Ghahremanzadeh, Akbar Taghizadeh, Soheila Abachi, Valiollah Palangi, Maximilian Lackner

“…However, due to traditional production techniques, livestock farmers face the problem of low productivity. …”
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The job performance and job burnout relationship: a panel data comparison of four groups of academics’ job performance by Miao Lei, Miao Lei, Gazi Mahabubul Alam, Karima Bashir, Karima Bashir

“…Provided here are applicable strategies aimed at preventing and maximizing job burnout crises before the job is taken and during its execution.MethodologyTo answer the research questions quantitatively, group regression analysis utilizing panel data from 2020 to 2023 was employed. …”
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