A Comprehensive Study on the Estimation of Concrete Compressive Strength Using Machine Learning Models by Yusuf Tahir Altuncı

“…To this end, this study aims to conduct a scientometric analysis of contributions that utilize machine learning (ML) models for predicting concrete compressive strength, assess these models, and provide insights for developing optimal solutions. …”
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Spatial Prediction of Soil Water Content by Bayesian Optimization–Deep Forest Model with Landscape Index and Soil Texture Data by Weihao Yang, Ruofan Zhen, Fanyue Meng, Xiaohang Yang, Miao Lu, Yingqiang Song

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Statistical Analysis Method for Optimal Prameters of Telemetry Communication by XIE Jun, WU Sailong, HAO Hang, ZHANG Songwei, WU Ruiqing, SUN Xiangyang

“…The paper proposes a statistical analysis-based optimization method for communication parameters of TLWD, utilizing massive measured data from downhole telemetry. …”
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Detection and Prediction of Wind and Solar Photovoltaic Power Ramp Events Based on Data-Driven Methods: A Critical Review by Jie Zhang, Xinchun Zhu, Yigong Xie, Guo Chen, Shuangquan Liu

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Automated diabetes detection prediction system based on patients’ medical data by S.V. Pidopryhora, Yu.V. Bogoyavlenska

“…This paper examines the potential and benefits of implementing machine learning (ML) and artificial intelligence (AI) algorithms for medical data analysis aimed at diabetes detection. …”
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Approaches to identify scenarios for data science implementations within healthcare settings: recommendations based on experiences at multiple academic institutions by Lillian Sung, Michael Brudno, Michael C. W. Caesar, Amol A. Verma, Brad Buchsbaum, Ravi Retnakaran, Vasily Giannakeas, Azadeh Kushki, Gary D. Bader, Helen Lasthiotakis, Muhammad Mamdani, Lisa Strug

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Advances in Neural Network assisted Tool Pressure Prediction by Göltl Florian, Harst Felix, Birkert Arndt, Stache Nicolaj C.

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Machine learning applications in risk management: Trends and research agenda [version 2; peer review: 2 approved, 1 approved with reservations] by Erica Agudelo-Ceballos, Diana Marleny Ramírez-Ramírez, Ezequiel Martínez Rojas, Julio Leyrer Henríquez, Aarón José Alberto Oré León, Jesus Alberto Jimenez Garcia, Alejandro Valencia-Arias

“…China, South Korea, and the United States are identified as the primary research-producing countries. The analysis also identifies emerging trends, such as the application of machine learning in the evaluation of urban trees and the management of risks associated with the pandemic of severe acute respiratory syndrome (SARS-CoV-2). …”
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Predicting Abnormal Stock Return Volatility Using Textual Analysis of News ‒ A Meta-Learning Approach by Renáta Myšková, Petr Hájek, Vladimír Olej

“…Textual analysis of news articles is increasingly important in predicting stock prices. …”
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Edge Computing Architectures for Low-Latency Data Processing in Internet of Things Applications by Banoth Sreenu, M Vineesha, Punna Hari Shankar, P Mathiyalagan, Prakash Vijay, M Jasmin

“…Apply large-scale edge computing solutions in enterprise scenarios: conduct a cost-benefit analysis Evaluation results show that the proposed design achieves substantial latency reduction, energy saving, and data security, recommending it to meet the needs of next generation IoT applications.…”
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Cross-survey Image Transformation: Enhancing SDSS and DECaLS Images to Near-HSC Quality for Advanced Astronomical Analysis by Zhijian Luo, Shaohua Zhang, Jianzhen Chen, Zhu Chen, Liping Fu, Hubing Xiao, Wei Du, Chenggang Shu

“…Our research is expected to provide significant technical support for astronomical data analysis, cross-survey image integration, and high-precision astrometry.…”
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Examining Black girls’ mathematics and science dispositions using large-scale assessment and survey data: A QuantCrit framework by Thao T. Vo, Shenghai Dai, Brian F. French

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Bridging the Past and Future of Clinical Data Management: The Transformative Impact of Artificial Intelligence by Musik S, Sasin-Kurowska J, Panczyk M

“…The integration shows promise in enhancing data analysis, automating data cleaning, and predicting critical outcomes. …”
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Sunrise in the Desert: Leveraging Big Data Analytics for Predictive Solar Energy Production in Saudi Arabia by Da'ad Albahdal, Maha Almousa, Wijdan Aljebreen, Aeshah A. Almutairi

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Development of non-invasive biomarkers for pre-eclampsia through data-driven cardiovascular network models by Claudia Popp, Jason M. Carson, Alex B. Drysdale, Hari Arora, Edward D. Johnstone, Jenny E. Myers, Raoul van Loon

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With eyes of a machine: A three-step guide for applying machine learning to visual content analysis in social research by Anna Helene Kvist Møller, Massimo Airoldi

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Correction: Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning by Jakub Horvath, Pavel Jedlicka, Marie Kratka, Zdenek Kubat, Eduard Kejnovsky, Matej Lexa

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A comprehensive survey on machine learning for workplace injury analysis: risk prediction, return to work strategies, and demographic insights by Gonzalo A. Vivian, Richard A. Bauder, Taghi M. Khoshgoftaar

“…Abstract This survey paper explores the application of machine learning (ML) techniques in the domain of workplace injuries, focusing on three key areas: risk prediction, return to work (RTW) strategies, and demographic analysis. …”
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Mixture of Experts for Depression and Anxiety Disorder Prediction From Textual and Non-Textual Social Media Data by Wesley Ramos Dos Santos, Ivandre Paraboni, Elton Hiroshi Matsushima, Camila Azevedo Da Silva, Emily Samara De Moura Meira, Joao Victor Rodrigues Ferreira Guimaraes, Julia Da Silva Lins, Laura Enham De Azeredo, Luiz Guilherme Cerqueira Nunes, Vittoria Thiengo Silveira Moreira Rego

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Adoption of Data-Driven Automation Techniques to Create Smart Key Performance Indicators for Business Optimization by Michael Sishi, Arnesh Telukdarie

“…To address this issue, this paper proposes a method that combines statistics, machine learning (ML), and artificial intelligence (AI) to augment traditional KPIs with the flexibility of data-driven automation (DDA) techniques. …”
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