DoNext: An Open-Access Measurement Dataset for Machine Learning-Driven 5G Mobile Network Analysis by Hendrik Schippers, Melina Geis, Stefan Bocker, Christian Wietfeld

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Deep Learning-Based Analysis of Ocular Anterior Segment Diseases from Patient-Self-Captured Smartphone Images by Byoungyoung Gu, Mark Christopher, Su-Ho Lim, Sally L. Baxter

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A Retrospective Analysis of Jordan’s National COVID-19 Call Center: Operations, Effectiveness, and Lessons Learned by Alrawashdeh A, Simmons N, Alhawarat M, Maayeh MS, Kheirallah KA

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Advanced Trajectory Analysis of NASA’s Juno Mission Using Unsupervised Machine Learning: Insights into Jupiter’s Orbital Dynamics by Ashraf ALDabbas, Zaid Mustafa, Zoltan Gal

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Comparative analysis dust accumulation impact on PV performance using artificial neural network and machine learning algorithms by Ashutosh Shukla, Rupendra Kumar Pachauri, Athar Hussain, Ahmed Ali, Baseem Khan

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Emerging trends in sustainable energy system assessments: integration of machine learning with techno-economic analysis and lifecycle assessment by Ebrahimpourboura Zahra, Mosalpuri Manish, Jonas Baltrusaitis, Dubey Pallavi, Mba Wright Mark

“…The increasing demand for sustainable energy systems (SES) has driven significant advancements in the fields of techno-economic analysis (TEA) and life cycle assessment (LCA). This comprehensive review explores the integration of machine learning (ML) techniques into these assessments to address inherent data limitations and uncertainties. …”
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Students' Motivation in Learning English through Ubiquitous Learning (Video-Based Learning) by Ai Mulyani Azzahra, Rochmawati Rochmawati, Houra Az Zahra

“…The analysis of the collected data revealed that the combination of u-learning and video-based learning significantly enhanced learner autonomy, engagement, and intrinsic motivation are fostering English language skills. …”
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Study of Factors Influencing Thermal Comfort at Tram Stations in Guangzhou Based on Machine Learning by Xin Chen, Huanchen Zhao, Beini Wang, Bo Xia

“…We collected microclimatic data from tram stations in Guangzhou, along with passenger comfort feedback, to construct a comprehensive dataset encompassing environmental parameters, individual perceptions, and design characteristics. …”
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In-depth Analysis of The Learning Process in Schools: Reviewing The Quality of Students' Actual Mastery of Concepts on Temperature and Heat Material by Ayu Sofna, Rizki Zakwandi, Desy Purwasih

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Traditional and machine learning models for predicting haemorrhagic transformation in ischaemic stroke: a systematic review and meta-analysis by Yanan Wang, Zengyi Zhang, Zhimeng Zhang, Xiaoying Chen, Junfeng Liu, Ming Liu

“…Methods PubMed and Ovid-Embase were searched for observational studies or randomised controlled trials related to traditional or machine learning-based models. Data were extracted according to Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS) checklist and risk of bias was assessed using the Prediction model Risk Of Bias ASsessment Tool (PROBAST). …”
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Efficient Detection of Stigmatizing Language in Electronic Health Records via In-Context Learning: Comparative Analysis and Validation Study by Hongbo Chen, Myrtede Alfred, Eldan Cohen

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Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review by Joana Seringa, João Abreu, Teresa Magalhaes

“…Studies were selected based on inclusion criteria focusing on ML models predicting hospitalisation risks in adults with HF. The data from 27 studies meeting the criteria were extracted and analysed, with a focus on the predictive performance of the ML models and the presence of economic analysis.Results Most studies focused on predicting readmission rather than first-time hospitalisation. …”
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Fun with Images: An Analysis of the Role of Visual Literacy in Facilitating Easy and Enjoyable Learning with a Focus on Future Prospects by Dey Anindita, Munshi Shamim Aktar

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Hematoxylin and Eosin-stained whole slide image dataset annotated for skin tissue segmentationMendeley Data by Anum Abdul Salam, Muhammad Zeeshan Asaf, Muhammad Usman Akram, Noah Musolff, Samavia Khan, Bassem Rafiq, Babar Rao

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Deep learning based analysis of G3BP1 protein expression to predict the prognosis of nasopharyngeal carcinoma. by Linshan Zhou, Mu Yang, Jiadi Luo, Hongjing Zang, Songqing Fan, Yuting Zhan

“…A model was intricately designed and rigorously tested to yield the quantitative data regarding staining intensity and extent. The collective output data was subjected multiplicative analysis, exploring its correlation with the prognosis.…”
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An end-to-end deep learning framework for structural damage assessment using semantic segmentation and point cloud analysis by Kavin Karthik V, Aravind N, Suganya R, Ramani Kannan

“…The necessity for automated post-disaster building damage analysis using deep learning techniques arises from the critical need for rapid and accurate damage assessment following natural disasters. …”
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Decoding healthcare resilience for sustainable development goal 3: A machine learning analysis of global health systems by Ibrahim Alnafrah, Alexander Poroshin

“…This study addresses this gap by developing and applying an integrated machine learning framework to global panel data (217 countries, 2000–2019) across economic, health, and environmental dimensions. …”
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Comparison and Interpretability Analysis of Deep Learning Models for Classifying the Manufacturing Process of Pigments Used in Cultural Heritage Conservation by Inhee Go, Yu Fu, Xi Ma, Hong Guo

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Analysis of Electric Field and Temperature Distributions of Non-Uniformly Contaminated Silicone Composite Insulators Using Deep Learning by Irem Gorgoz, Mehmet Cebeci

“…The predictive performance of the proposed model was validated through comparative analysis with established machine learning techniques, including Support Vector Machine (SVM) and Random Forest (RF). …”
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Analysis of Determinant Factors of Carbon Efficiency in Indonesia Based on Domestic Waste Management using Causal Machine Learning by Abdul Hakim Zakkiy Fasya, Mursyidul Ibad, Kuuni Ulfah Naila El Muna

“…However, data limitations posed challenges to comprehensive analysis. …”
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