Numerical model of cutting tool blade wear by Panchuk V., Onysko O., Kotwica K., Barz C., Borushchak L.

“…The result of the program application, created based on the algorithm proposed in the article, showed that the predicted accuracy of the obtained profile’s half-angle could be in a range from –0.03° to +0.10°, which is equivalent to 4–13 % of tolerance of this dimension.…”
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Eye Collateral Channel Characteristic Analysis and Identification Model Construction of Mild Cognitive Impairment by WU Tiecheng, CAO Lei, YIN Lianhua, HE Youze, LIU Zhizhen, YANG Minguang, XU Ying, WU Jinsong

“…Eligible subjects were matched on a 1∶1 propensity score according to sex, age, and years of education and were divided into MCI group and normal cognition group, with 158 cases in each group. …”
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AI in Medical Questionnaires: Innovations, Diagnosis, and Implications by Xuexing Luo, Yiyuan Li, Jing Xu, Zhong Zheng, Fangtian Ying, Guanghui Huang

“…In terms of disease prediction, one study had an area under the curve of 0.790 for cataract surgery risk prediction. …”
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Correlation between shapes and sizes of dentofacial arches and their stable parameters by E. G. Vedeshina, D. A. Domenyuk, S. V. Dmitrienko

“…The study proposed an algorithm for determining the optimised predicted individual parameters of dental arches in people with abnormal shapes and sizes of dentofacial arches. …”
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FINDING OF OPTIMAL SUBSET STRUCTURE IN THE KNAPSACK PROBLEM by S. V. Chebakov, L. V. Serebryanaya

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Machine learning model for preoperative classification of stromal subtypes in salivary gland pleomorphic adenoma based on ultrasound histogram analysis by Huan-Zhong Su, Dao-Hui Yang, Long-Cheng Hong, Yu-Hui Wu, Kun Yu, Zuo-Bing Zhang, Xiao-Dong Zhang

“…The least absolute shrinkage and selection operator (LASSO) regression identified optimal features, which were then utilized to build predictive models using logistic regression (LR) and eight ML algorithms. …”
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Optimization method improvement for nonlinear constrained single objective system without mathematical models by HOU Gong-yu, XU Zhe-dong, LIU Xin, NIU Xiao-tong, WANG Qing-le

“…Then, the immune particle swarm algorithm, which incorporates the self-regulatory mechanism of the immune system, is used to optimize the system based on the predicted model. …”
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Application of Intelligent Archives Management Based on Data Mining in Hospital Archives Management by Juan Li

“…The information excavated must be real and not universally known, and it can be the discovery of a specific problem. Data mining algorithms mainly include the neural network method, decision tree method, genetic algorithm, rough set method, fuzzy set method, association rule method, and so on. …”
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Improved Ant Colony Optimization for the Operational Aircraft Maintenance Routing Problem with Cruise Speed Control by Qing Zhang, Felix T. S. Chan, Xiaowen Fu

“…The operational aircraft maintenance routing problem (OAMRP) plays a critical part in producing considerable cost reductions for airlines, since its solution directly influences the number of operating leased aircraft. …”
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Deep Circuit Compression for Quantum Dynamics via Tensor Networks by Joe Gibbs, Lukasz Cincio

“…By the efficient use of environment tensors, the algorithm is scalable in depth far beyond prior work, and we present circuit compilations of up to 64 layers of $SU(4)$ gates. …”
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Explainable artificial intelligence for sustainable urban water systems engineering by Shofia Saghya Infant, Sundaram Vickram, A Saravanan, C M Mathan Muthu, Devarajan Yuarajan

“…This highlights the promise of XAI as a tool to improve sustainable practices in water management by providing a link between highly complex algorithms and watertight management decisions that are easier to implement.…”
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Quasi-Uniform Density Non-Solid Infill Strategy for Axisymmetric Non-Planar Additive Manufacturing by Alvaro Guzman-Bautista, Adrián López-Arrabal, Elio Sanchez-Oro-Aguado, Andrea Fernández Gorgojo, Ramiro García-Galán, Francisco J. Badesa, Antonio Vizan-Idoipe

“…The algorithm has been tested on several build platform geometries and slice polygons. …”
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Discovering emergent connections in quantum physics research via dynamic word embeddings by Felix Frohnert, Xuemei Gu, Mario Krenn, Evert van Nieuwenburg

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Demographic bias mitigation at test-time using uncertainty estimation and human–machine partnership by Anoop Krishnan Upendran Nair, Ajita Rattani

“…Facial attribute classification algorithms frequently manifest demographic biases by obtaining differential performance across gender and racial groups. …”
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Radiomics in pediatric brain tumors: from images to insights by Pranjal Rai, Sabha Ahmed, Abhishek Mahajan

“…By integrating radiomics with machine learning algorithms, studies have demonstrated strong performance in classifying tumor types such as medulloblastoma, ependymoma, and gliomas, and predicting molecular subgroups and mutations such as H3K27M and BRAF. …”
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Key factors determination of hyperuricemia and association analysis among patients with breast cancer: results from NHANES data by Ting-ting Meng, Wen-rui Wang, Yan-qing Zheng, Guan-dong Liu

“…Logistic and XGBoost algorithms were used to rank the importance of influencing factors. …”
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DNA familial binding profiles made easy: comparison of various motif alignment and clustering strategies. by Shaun Mahony, Philip E Auron, Panayiotis V Benos

“…Various comparison metrics and alignment algorithms are evaluated (a total of 105 combinations). …”
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Digital solutions for risk management in sustainable development conditions of business ecosystems by Oleksii HNIEZDOVSKYI, Danylo DOMASHENKO, Svitlana DOMASHENKO, Denys MOROZOV, Serhii SHYLO

“…A prediction system that uses various machine learning algorithms was developed and tested. …”
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Interpretable artificial intelligence (AI) for cervical cancer risk analysis leveraging stacking ensemble and expert knowledge by Priyanka Roy, Mahmudul Hasan, Md Rashedul Islam, Md Palash Uddin

“…Objectives This study develops a machine learning (ML)-based cervical cancer prediction system emphasizing explainability. A hybrid feature selection method is proposed to enhance predictive accuracy and stability, alongside evaluation of multiple classification algorithms. …”
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Numerical Analysis of Users’ Body Effects on a Fourteen-Element Dual-Band 5G MIMO Mobile Terminal Antenna by Ahmed Mohamed Elshirkasi, Azremi Abdullah Al-Hadi, Rizwan Khan, Prayoot Akkaraekthalin, Haitham S. Ben Abdelmula, Ahmed M. Belghasem, Akram H. Jebril, Ping Jack Soh

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