Radioembolization for neuroendocrine tumors: procedure, application and clinical outcomes by Li Shen Ho, Tarik Baetens, Marnix G E H Lam, Arthur J A T Braat

“…Neuroendocrine liver metastases significantly affect patient prognosis and quality of life due to their symptomatic burden and challenging management. …”
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Application of Generalized Predictive Control in Sewage Treatment Process by SONG Guohui

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Landscape layout characteristics and evaluation of smart buildings based on deep learning algorithms by Li Zhang

“…Based on the landscape layout of intelligent buildings, this study proposes an evaluation framework based on a deep learning algorithm, aiming at improving the quality and efficiency of landscape design through intelligent means. …”
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Max–Min semantic chunking of documents for RAG application by Csaba Kiss, Marcell Nagy, Péter Szilágyi

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Comparative Performance Evaluation of Scheduling Algorithms using 5G‑Air‑Simulator by Moaath Saleh Abdulrahman, Buthaina Mosa Omran

“…With the spread of new applications, efficient scheduling algorithms are mandatory to handle the allocation of the limited spectrum resources to various types of traffic and to guarantee the requirements of the quality of service and the quality of experience informed by users. …”
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Investigation of treatment delay in a complex healthcare process using physician insurance claims data: an application to symptomatic carotid artery stenosis by Stephen Christopher van Gaal, Arshia Alimohammadi, Mohammad Ehsanul Karim, Wei Zhang, Jason Sutherland

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Machine learning applications in river research: Trends, opportunities and challenges by Long Ho, Peter Goethals

“…Abstract As one of the earth's key ecosystems, rivers have been intensively studied and modelled through the application of machine learning (ML). With the amount of large data available, these computer algorithms are ever increasing in numerous fields, although there is ongoing scepticism and scholars still question the actual impact and deliverables of algorithms. …”
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A new relaxation technique based on fractional representation to solve bilinear models: Application to the long horizon crude oil scheduling problem by Mohammad Nasir Yarahmadi, Seyyed Ali MirHassani, Farnaz Hooshmand

“…Our method is also applied to the crude oil scheduling problem as an application. The results confirm the efficiency of the proposed algorithm from both solution quality and running time.…”
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Applications of artificial intelligence in neurosurgical education: a scoping review by Hector Julio Piñera-Castro, Christian Borges-García

“…Its integration into neurosurgical education, given the field’s complexity and precision demands, warrants comprehensive exploration. To systematically evaluate AI applications in neurosurgical education, we conducted a scoping review adhering to PRISMA-ScR guidelines. …”
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Artificial Intelligence in medicine: Potential and Application Possibilities - Comprehensive literature review by Michał Kotowicz, Magdalena Bieniak-Pentchev, Maria Koczkodaj

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Compensation of Speckle Noise in 2D Images from Triangulation Laser Profile Sensors Using Local Column Median Vectors with an Application in a Quality Control System by Paweł Rotter, Dawid Knapik, Maciej Klemiato, Maciej Rosół, Grzegorz Putynkowski

“…The primary limitation of the proposed method is its applicability only to flat surfaces. Nonetheless, we successfully implemented it in an optical inspection system for the furniture industry, where the post-processed image quality was sufficient to detect surface defects as small as 0.1 mm.…”
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Learning from Heterogeneous Data Sources: An Application in Spatial Proteomics. by Lisa M Breckels, Sean B Holden, David Wojnar, Claire M Mulvey, Andy Christoforou, Arnoud Groen, Matthew W B Trotter, Oliver Kohlbacher, Kathryn S Lilley, Laurent Gatto

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Application of a Hybrid Model for Data Analysis in Hydroponic Systems by Kuanysh Bakirov, Jamalbek Tussupov, Akhmet Tussupov, Ibraheem Shayea, Aruzhan Shoman

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Riemannian Manifolds for Biological Imaging Applications Based on Unsupervised Learning by Ilya Larin, Alexander Karabelsky

“…In particular, the clustering of single cells is of great interest. This study will evaluate the feasibility of using latent representation and clustering of single cells in various applications in the fields of medicine and biotechnology. …”
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Application of convolutional neural networks in the intelligence security system subsystem by V. S. Demeshko, A. I. Фёдоров

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Federated learning for digital twin applications: a privacy-preserving and low-latency approach by Jie Li, Dong Wang

“…The digital twin (DT) concept has recently gained widespread application for mapping the state of physical entities, enabling real-time analysis, prediction, and optimization, thereby enhancing the management and control of physical systems. …”
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Image Visual Quality: Sharpness Evaluation in the Logarithmic Image Processing Framework by Arnaud Pauwelyn, Maxime Carré, Michel Jourlin, Dominique Ginhac, Fabrice Meriaudeau

“…Moreover, it is the only method that is insensitive to brightness variations. Finally, various application examples are presented, like automatic autofocus control or the comparison of two blur removal algorithms applied to the same image, which particularly concerns the field of Super Resolution (SR) algorithms. …”
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Miniaturized NIRS Coupled with Machine Learning Algorithm for Noninvasively Quantifying Gluten Quality in Wheat Flour by Yuling Wang, Chen Zhang, Xinhua Li, Longzhu Xing, Mengchao Lv, Hongju He, Leiqing Pan, Xingqi Ou

“…The results highlight the effectiveness of micro-NIRS combined with iWOA-SVR for the nondestructive gluten quality assessment of wheat flour, providing a more valuable reference for expanding the use of NIRS technology and developing portable specialized NIRS equipment for industrial-level applications in the future.…”
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A systematic review of natural language processing applications in Trauma & Orthopaedics by Luke Farrow, Arslan Raja, Mingjun Zhong, Lesley Anderson

“…Code and data availability were also poorly documented in most studies. Conclusion: Application of NLP is becoming increasingly common in T&O; however, published article quality is mixed, with few high-quality studies. …”
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Machine Learning Applications in Use-Wear Analysis: A Critical Review by Anastasia Eleftheriadou, Shannon P. McPherron, João Marreiros

“…The main aim of this literature review is to provide recommendations for the more effective application of ML in use-wear analysis and archaeological research, by identifying trends, research gaps, and evaluating the quality of the models developed. …”
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