Theoretical definition of legume grass seeds degree of extraction done by machine for seed extraction by M. V. Simonov, V. J. Mokiev

“…For example, if the radius rb = 0.15 m, nb= 1250 min-1 the degree of extraction є is 95 %, in the experiment it is 95% with the same frequency of drum rotation. Mathematical models of the extraction device functioning and optimal design and technological parameters defined with their help can be used in the development of similar devices.…”
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Unveiling etiology and mortality risks in community-acquired pneumonia: A machine learning approach by Alaa Ali, Ahmad R. Alsayed, Nesrin Seder, Yazun Jarrar, Raed H. Altabanjeh, Mamoon Zihlif, Osama Abu Ata, Anas Samara, Malek Zihlif

“…Further investigation is needed to resolve conflicting findings and optimize predictive models. ML offers promising applications for CAP prognosis but requires refinement to address discrepancies and improve reliability in clinical decision-making. …”
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Comparative Analysis: Machine vs Human Translation of Educational Scientific Texts. Challenges and Solutions by N. A. Antonova, I. V. Kuzmich

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Multimodal Machine Learning for Predicting Post-Surgery Quality of Life in Colorectal Cancer Patients by Maryem Rhanoui, Mounia Mikram, Kamelia Amazian, Abderrahim Ait-Abderrahim, Siham Yousfi, Imane Toughrai

“…The application of artificial intelligence and machine learning techniques has great potential for optimizing patient outcomes by providing valuable insights. …”
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A scoping review of advancements in machine learning for glaucoma: current trends and future direction by Jiatong Zhang, Bocheng Tian, Mingke Tian, Xinxin Si, Jiani Li, Ting Fan

“…These findings signify the promising prospects of machine learning, particularly when integrated with multimodal technologies and large language models, to enhance the diagnosis and treatment of glaucoma.…”
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Multi-criteria decision-making approach for evaluating the critical determinants of machine tool integrity by Olugbenga Adegbemisola Aderoba, Khumbulani Mpofu, Buliaminu Kareem, Olurotimi Akintunde Dahunsi, Olayinka Oladele Awopetu, Ilesanmi Afolabi Daniyan

“…The Fuzzy DEMATEL established cause-and-effect relationships between determinants, while the ANP technique modelled their interdependencies and prioritized them based on their impact on machine tool integrity. …”
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Applications of machine learning approaches for pediatric asthma exacerbation management: a systematic review by Chunni Zhou, Liu Shuai, Hao Hu, Carolina Oi Lam Ung, Yunfeng Lai, Lijun Fan, Wei Du, Yan Wang, Meng Li

“…Results A total of 23 studies were selected for inclusion in this review, covering different ML models such as decision trees, neural networks, and support vector machines. …”
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Automated Measurement of Air Bubbles Dispersion in Ice Cream Using Machine Learning Methods by Igor A. Korolev

“…The models were trained using the NVIDIA GTX video accelerator. …”
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Supervised Machine Learning Thyroid Carcinoma Diagnosis Using Wide-Field SHG Microscopy by Yaraslau Padrez, Radu Hristu, Igor Timoshchenko, Lucian G. Eftimie, Danielis Rutkauskas, Lena Golubewa

“…Recursive feature elimination and mutual information selection further refined the feature set and improved classification accuracy. Among all models, C-SVC achieved the highest accuracy (84.73%) with robust generalization to unknown data, significantly outperforming standard ML approaches (60–70%). …”
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Myoelectric signal and machine learning computing in gait pattern recognition for flat fall prediction by Shuo Zhang, Biao Chen, Chaoyang Chen, Maximillian Hovorka, Jin Qi, Jie Hu, Gui Yin, Marie Acosta, Ruby Bautista, Hussein F. Darwiche, Bryan E. Little, Carlos Palacio, John Hovorka

“…This study aimed to determine the feasibility of using lower limb myoelectrical signals (electromyographic signals, EMG) for gait pattern recognition and to identify the optimal machine learning (ML) algorithms for EMG signal processing. …”
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Systematic Optimization Study of Line-Start Synchronous Reluctance Motor Rotor for IE4 Efficiency by Huai-cong Liu

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Integrated Computational Materials Engineering of Fire-Resistant Steels by Alireza Zargaran, Timothy Alexander Listyawan, Shailendra Kumar Verma, Ji Hoon Kim, Jeremy Dudo, Changning Niu, Abhinav Saboo, Jiadong Gong, Hongseok Yang, Kyoungdoc Kim

“…We analyze the big data base and optimize using the machine-learning techniques to understand the significance of different parameters on strength. …”
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Mitigating class imbalance in churn prediction with ensemble methods and SMOTE by R. Suguna, J. Suriya Prakash, H. Aditya Pai, T. R. Mahesh, Venkatesan Vinoth Kumar, Temesgen Engida Yimer

“…Abstract This study examines how imbalanced datasets affect the accuracy of machine learning models, especially in predictive analytics applications such as churn prediction. …”
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Fusing wrist pulse and ECG data for enhanced identification of coronary heart disease and its complications by Lei-Xin Hong, Wen-Jie Wu, Xia Chen, Dan-Qun Xiong, Ye-Qing Zhang, Xiang-Dong Xu, Jian-Jun Yan, Rui Guo

“…Features were extracted from these two types of physiological signals to form distinct datasets, and RF models were built based on different datasets. The top-performing RF model was then selected and compared against the Feature-Selected (FS-RF), Support Vector Machine (SVM) and Bagged Decision Tree (BDT) models. …”
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Computational Risk Stratification of Preclinical Alzheimer’s in Younger Adults by Oriehi Anyaiwe, Nandini Nataraj, Bhargava Sai Gudikandula

“…<b>Conclusions:</b> Future work aims to validate the model using longitudinal, inclusive, real-world datasets and expand its predictive capacity through machine learning techniques and integrating genetic and lifestyle factors. …”
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Optimization of the business process of commercialization of developments for state educational institutions by I. A. Pestunov, G. B. Pestunova, A. A. Poguda

“…The presented research is aimed at identifying the features of the business process of commercialization in public educational institutions in order to find conditions for its optimization. The topic of finding ways to optimize business processes can help budget organizations become more effective in commercializing software development for electronic computing machines and further promoting information technologies in the domestic market.The research methods were determined based on the purpose and include the analysis of scientific publications on the research topic, the method of concretization, analysis and synthesis, practical modeling, timekeeping method, employee surveys and other methods. …”
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Multiobjective Optimization of Tool Geometric Parameters Using Genetic Algorithm by Maohua Du, Zheng Cheng, Yanfei Zhang, Shensong Wang

“…Up to now, there are only a few researches on tool geometric parameters and optimization, and the single objective function of parameter optimization used by researchers during high-speed machining (HSM) mainly is the minimum cutting force. …”
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Multi-Objective Parameter Optimization of Electro-Hydraulic Energy-Regenerative Suspension Systems for Urban Buses by Zhilin Jin, Xinyu Li, Shilong Cao

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Parameter Optimization Method for Centrifugal Feed Disc Discharging Based on Numerical Simulation and Response Surface by Kai Lu, Cheng Yin, Jing Qian, Zhiyan Sun, Liqiang Wang

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Enhanced Seat Suspension Performance Through Positive Real Network Optimization and Skyhook Inertial Control by Xiaofeng Yang, Rui Sun, Yi Yang, Yanling Liu, Jingchen Hong, Changning Liu

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