Comparing the Indices predictive of the thermal injury outcome by E A. Zhirkova, T. G. Spiridonova, A. V. Sachkov, A. O. Medvedev, E. I. Eliseenkova, I. G. Borisov, M. L. Rogal, S. S. Petrikov

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Nutrition-Related Mobile Application for Daily Dietary Self-Monitoring by Maria Ulfa, Winny Setyonugroho, Tri Lestari, Esti Widiasih, Anh Nguyen Quoc

“…However, there remains a lack of research regarding systematic analysis mapping studies in this area. …”
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Classification of intracranial tumors based on optical-spectral analysis by I. D. Romanishkin, T. A. Savelieva, A. Ospanov, K. G. Linkov, S. V. Shugai, S. A. Goryajnov, G. V. Pavlova, I. N. Pronin, V. B. Loschenov

“…In case the number of parameters exceeds a couple of dozens, it is necessary to use machine learning algorithms  to build a intraoperative decision support system for the surgeon. …”
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Quality inspection of fertilizer granules using computer vision – a review by I.K. Ndukwe, D.V. Yunovidov, M.R. Bahrami, M. Mazzara, T.O. Olugbade

“…This research explores the fusion of computer vision and agricultural quality control. …”
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Neuroleptic hyperprolactinemia medicamentous correction by L. N. Gorobets, G. E. Mazo

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The Impact of Ancient Greek Prompts on Artificial Intelligence Image Generation: A New Educational Paradigm by Anna Kalargirou, Dimitrios Kotsifakos, Christos Douligeris

“…The key question is whether AI can faithfully represent the underlying conceptual and narrative structures of ancient literature or whether its representations are superficial and constrained by algorithmic procedures. Methods: This is a mixed-methods experimental research design examining whether a specified Artificial Intelligence software can sense, understand, and graphically represent linguistic and conceptual structures in the Ancient Greek language. …”
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Amyloid cardiomyopathy: сlinical significance and diagnostic value of magnetic resonance imaging by M. V. Ezhikova, S. N. Nasonova, D. V. Ustyuzhanin, M. A. Shariya, I. V. Zhirov, S. N. Tereshchenko

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High concentration formulation developability approaches and considerations by Jonathan Zarzar, Tarik Khan, Maniraj Bhagawati, Benjamin Weiche, Jasmin Sydow-Andersen, Alavattam Sreedhara

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A Review of Approaches for Rapid Data Clustering: Challenges, Opportunities, and Future Directions by Mahnoor, Imran Shafi, Mahnoor Chaudhry, Elizabeth Caro Montero, Eduardo Silva Alvarado, Isabel de la Torre Diez, Md Abdus Samad, Imran Ashraf

“…In addition to managing high-dimensional data, creating incremental and online clustering techniques, and investigating deep learning-based algorithms, the study suggests future research areas. …”
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The First Cadenza Challenges: Using Machine Learning Competitions to Improve Music for Listeners With a Hearing Loss by Gerardo Roa-Dabike, Michael A. Akeroyd, Scott Bannister, Jon P. Barker, Trevor J. Cox, Bruno Fazenda, Jennifer Firth, Simone Graetzer, Alinka Greasley, Rebecca R. Vos, William M. Whitmer

“…The highest scoring system combined the outputs of several demixing algorithms in an ensemble approach. These challenges are now open benchmarks for future research with freely available software and data.…”
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Analysis of immunogenic cell death in periodontitis based on scRNA-seq and bulk RNA-seq data by Erli Wu, Xuan Yin, Feng Liang, Xianqing Zhou, Jiamin Hu, Wanting Yuan, Feihan Gu, Jingxin Zhao, Ziyang Gao, Ming Cheng, Shouxiang Yang, Lei Zhang, Qingqing Wang, Qingqing Wang, Xiaoyu Sun, Xiaoyu Sun, Wei Shao, Wei Shao

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A Review of Space Target Recognition Based on Ensemble Learning by Shiyan Wang, Danpu Zhao, Haikun Hong, Kexian Sun

“…Finally, the paper discusses future research directions.…”
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Cyberattack detection on SWaT plant industrial control systems using machine learning by Shadi Jaradat, Md Mostafizur Komol, Mohammed Elhenawy, Naipeng Dong

“…The dataset, sourced from the Singapore University of Technology and Design, includes data from 51 sensors and actuators. The research employs a Long Short-Term Memory (LSTM) network alongside traditional machine learning algorithms like Random Forest (R.F.), Support Vector Machine (SVM), and K-Nearest Neighbour (KNN) to classify cyberattacks. …”
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Harmonization of multi-center diffusion tensor tractography in neonates with congenital heart disease: Optimizing post-processing and application of ComBat by Benjamin Meyers, Vincent K. Lee, Lauren Dennis, Julia Wallace, Vanessa Schmithorst, Jodie K. Votava-Smith, Vidya Rajagopalan, Elizabeth Herrup, Tracy Baust, Nhu N. Tran, Jill V. Hunter, Daniel J. Licht, J. William Gaynor, Dean B. Andropoulos, Ashok Panigrahy, Rafael Ceschin

“…We then use an empirical Bayes harmonization algorithm performed at the along-tract level, with the output being a lower dimensional space but still spatially informative. …”
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Distributed Authentication of Power Grid Safety and Stability Control Terminals Based on DHT and Blockchain by Yening LAI, Ke FENG, Tongwei YU, Wang WANG, Guanjun TANG

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Development of an individualized multimodal trip planner for a MaaS system by Josep Maria Salanova Grau, Andreas Nikiforiadis, Panagiotis Tzenos, Despoina Tsavdari, Georgia Ayfantopoulou

“…The results of this research are relevant for both academic communities exploring advanced routing algorithms and practitioners in the field of Mobility as a Service (MaaS), who aim to deliver efficient and user-centered mobility services.…”
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Comparative evaluation of machine learning models versus TIMI score in ST-segment-elevation myocardial infarction patients by Mohit D. Gupta, Dixit Goyal, Shekhar Kunal, Manu Kumar Shetty, M.P. Girish, Vishal Batra, Ankit Bansal, Prashant Mishra, Mansavi Shukla, Vanshika Kohli, Akul Chadha, Arisha Fatima, Subrat Muduli, Anubha Gupta, Jamal Yusuf

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Saliva-derived transcriptomic signature for gastric cancer detection using machine learning and leveraging publicly available datasets by Catarina Lopes, Andreia Brandão, Manuel R. Teixeira, Mário Dinis-Ribeiro, Carina Pereira

“…Leveraging transcriptomic data from the Gene Expression Omnibus (GEO), we constructed and validated predictive models through machine learning algorithms within the tidymodels framework. Tissue-based models were validated on independent tissue datasets, and subsequently applied to saliva. …”
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Future of Alzheimer's detection: Advancing diagnostic accuracy through the integration of qEEG and artificial intelligence by Sahar Rezaei, Farzan Asadirad, Alireza Motamedi, Mohammadsadegh Kamran, Farzaneh Parsa, Haniyeh Samimi, Parna Ghannadikhosh, Mahdi Zahmatyar, Seyed Ali Hosseinzadeh, Hossein Arabi

“…Geographic diversity in research origins, spanning from Asia to Europe and the Americas, provides robust cross-cultural validation of findings. …”
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Multimodal sensor dataset for monitoring older adults post lower limb fractures in community settings by Ali Abedi, Charlene H. Chu, Shehroz S. Khan

“…For technical validation, machine learning algorithms were developed using the sensor and clinical questionnaire data, providing a foundational comparison for the research community.…”
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