Experimental and theoretical studies of milk and air motion in the milk-producing tract of the milking machine by A. A. Rylov, P. A. Savinykh, V. N. Shulyatyev

“…Using the results of the research will allow to predict pressure losses in the milk hose in dependence to the intensity of milk production and take into account the results of calculations when designing milking machines and developing their functioning algorithms for milking high-yield cows.…”
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Open source automated insulin delivery systems: experience of russian patients by V. V. Klimontov, K. S. Shishin

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Risk factors for osteoporosis in men aged 40 years or older: the results of the program «Osteoscreening-Russia» by O. A. Nikitinskaya, N. V. Toroptsova, E. L. Nasonov

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HEALTH CLAIM INSURANCE PREDICTION USING SUPPORT VECTOR MACHINE WITH PARTICLE SWARM OPTIMIZATION by Syaiful Anam, M. Rafael Andika Putra, Zuraidah Fitriah, Indah Yanti, Noor Hidayat, Dwi Mifta Mahanani

“…Parameter selection of SVM is normally done by trial and error so that the performance is less than optimal. Some optimization algorithms based heuristic optimization can be used to determine the best parameter values of SVM, for example Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). …”
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Data-Driven-Based Full Recovery Technology and System for Transformer Insulating Oil by Feng Chen, Li Wang, Zhiyao Zheng, Bin Pan, Yujia Hu, Kexin Zhang

“…The recovery process incorporates oil–gas saturation monitoring and an oil–gas precipitation assessment algorithm based on neural networks to enable intelligent control, ensuring thorough recovery of residual oil from transformers. …”
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Modelling and Simulation of a 3MW, Seventeen-Phase Permanent Magnet AC Motor with AI-Based Drive Control for Submarines Under Deep-Sea Conditions by Arun Singh, Anita Khosla

“…Addressing this gap, this research investigates advanced control methodologies to enhance the performance of such motors. …”
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Application of Machine Learning Techniques for Bearing Fault Diagnosis by Sarra Eddai, Nabih Feki, Ahmed Ghorbel, Abdelkhalak El Hami, Mohamed Haddar

“…The methodology employed encompasses a systematic approach, including data preprocessing, feature extraction, and model development. This research employs advanced machine learning techniques, including Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Decision Tree, and Naive Bayes algorithms, in conjunction with time-domain and frequency-domain feature extraction methods. …”
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AESware: Developing AES-enabled low-power multicore processors leveraging open RISC-V cores with a shared lightweight AES accelerator by Eunjin Choi, Jina Park, Kyuseung Han, Woojoo Lee

“…Nevertheless, comprehensive research on developing low-power multicore processors with integrated security features using existing open RISC-V cores remains limited. …”
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Viewpoint Selection for 3D Scenes in Map Narratives by Shichuan Liu, Yong Wang, Qing Tang, Yaoyao Han

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Anytime Optimal Trajectory Repairing for Autonomous Vehicles by Kailin Tong, Martin Steinberger, Martin Horn, Selim Solmaz, Daniel Watzenig

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Suppression Strategy of Unintentional Emission Supraharmonic Based on Edge Computing for Wind Farms by Tianchu LI, Bin RONG, Zhipeng WU, Jue HUANG, Kailai HUANG, Gang YANG, Yang YI

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Features of development and analysis of the simulation model of a multiprocessor computer system by O. M. Brekhov, G. A. Zvonareva, V. V. Ryabov

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CLUSTERING ANALYSIS FOR GROUPING SUB-DISTRICTS IN BOJONEGORO DISTRICT WITH THE K-MEANS METHOD WITH A VARIETY OF APPROACHES by Denny Nurdiansyah, Mochamad Nizar Palefi Ma'ady, Yuana Sukmawaty, Muchammad Chandra Cahyo Utomo, Tia Mutiani

“…This research aims to apply the K-Means method with various approaches to clustering sub-districts in the Bojonegoro district according to population data. …”
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Automated Cervical Cancer Screening Using Single-Cell Segmentation and Deep Learning: Enhanced Performance with Liquid-Based Cytology by Mariangel Rodríguez, Claudio Córdova, Isabel Benjumeda, Sebastián San Martín

“…A novel image segmentation algorithm was employed to extract single-cell patches for training a ResNet-50 model. …”
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Comparison of Geographical Traceability of Wild and Cultivated Macrohyporia cocos with Different Data Fusion Approaches by Li Wang, Qinqin Wang, Yuanzhong Wang, Yunmei Wang

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Prediction of winter wheat nitrogen nutrition index using high-resolution satellite and machine learning by Po-Ting Pan, Yamine Bouzembrak, Miguel Quemada, Bedir Tekinerdogan

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Multi-Objective Optimization Based on Response Surface Methodology and Multi-Objective Particle Swarm Optimization for Pipeline Selection of Replenishment Oiler by Yujin Cong, Cheng Meng, Ming Yang, Yong Liu, Ping Yi, Tie Li, Shuai Huang

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A 3D Genome Atlas of Genetic Variants and Their Pathological Effects in Cancer by Li Tang, Matthew C. Hill, Mingxing He, Junhao Chen, Zirui Wang, Patrick T. Ellinor, Min Li

“…Genetic aberrations can disrupt this 3D genomic architecture, potentially driving oncogenesis. However, current research often lacks a comprehensive perspective, focusing on specific mutation types and singular 3D structural levels. …”
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Distinguishing glioblastoma from brain metastasis; a systematic review and meta-analysis on the performance of machine learning by Mohammad Amin Habibi, Reza Omid, Shafaq Asgarzade, Sadaf Derakhshandeh, Ali Soltani Farsani, Zohreh Tajabadi

“…We systematically reviewed the studies reported the performance of machine learning (ML) algorithms for accurately discrimination of these two entities. …”
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Development and validation of machine learning models to predict unplanned hospitalizations of patients with diabetes within the next 12 months by A. E. Andreychenko, A. D. Ermak, D. V. Gavrilov, R. E. Novitskiy, A. V. Gusev

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