The main approaches to the formation of competence in the field of diagnostics of circuits based on FPGA by Yuriy V. Shapovalov, Boris N. Chugaev

“…At the same time such STD parameters as the required accuracy of the results of technical diagnosis, allowable frequency and duration of diagnosis, a valid memory for storing diagnostic information for the STD for different purposes can vary within a wide range.Thus, the use of methods for test sets’ construction allows to obtain the algorithm of generation of all the necessary information for conducting diagnostic tests using the analytical form of the output function. …”
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Problems of optimizing the energy consumption of households in the tasks of improving the energy efficiency of the housing sector by G. G. Grebenuk, S. M. Nikishov, A. A. Krygin, L. A. Sereda

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Development of an Automated Management System for Agricultural Technologies in Horticulture by D. O. Khort, A. I. Kutyrev, I. G. Smirnov, I. V. Voronkov

“…The web application used the Model View Controller design pattern, and Bootstrap as the css framework. …”
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Сombat wounds microflora in modern warfare by V. P. Kovalchuk, N. S. Fomina, V. M. Kondratiuk, О. О. Fomin, Y. V. Lazarenko, K. V. Gumenyuk

“…This situation necessitates close surveillance and continuous microbiological monitoring, as well as the development and implementation of a comprehensive set of multimodal infection prevention and control measures. …”
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A robust resilient-oriented design for the cyber-physical distribution system against sequential typhoons by Shimei Li, Zhanghao Huang, Jinman Luo, Jianyong Zhan, Liyuan Liu, Die Cong, Xiaoxia Li, Yunan Lin, Ling Yu, Yu Nie, Wenlong Chen, Keng-Weng Lao

“…Moreover, considering the time-varying characteristics of typhoon path, a spatially and temporally extended N-k uncertainty set is constructed for overhead line status. Thereafter, the proposed robust optimization model is recast to a mixed-integer linear programming problem, which can be solved by a nested column-and-constraint generation algorithm. …”
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Identification and validation of endoplasmic reticulum autophagy-related potential biomarkers in periodontitis by Ruyue Wang, Jinyue Hu, Qing Sun, Shuixiang Guo, Gege Zhang, Ao Lu, Shuo Liu, Xue Yang, Lina Wang

“…The main function of ER-phagy is to degrade excess ER membranes or toxic protein aggregates, control the volume of ER, and maintain cell homeostasis. …”
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Rock Fracture Monitoring Based on High-Precision Microseismic Event Location Using 3D Multiscale Waveform Inversion by Yi Wang, Xueyi Shang, Kang Peng, Rui Gao

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ADVERTISING CAMPAIGN OF HIGHER EDUCATION INSTITUTION DEVELOPMENT BASICS by Natela R. Kordzaia

“…The stages of this algorithm are as follows: determining the purpose and objectives of the advertising campaign; setting the objectives of the advertising campaign, determining the metrics (performance indicators) of the advertising campaign; characteristics of the target audience; research and analysis of advertising activities of competitors; research of the main channels and carriers of future advertising; conducting media planning (planning of advertising media, budget and deadlines); creating a creative idea of an advertising message; advertising production; control over the placement of advertising; evaluation of the effectiveness of the advertising campaign. …”
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Objective Functions for the Blade Shape Optimisation of a Cross-Flow Tidal Turbine under Constraints by Karla Ruiz-Hussmann, Pierre-Luc Delafin, Cyrille Bonamy, Yves Delannoy, Dominique Thévenin, Stefan Hoerner

“…The optimization procedure couples Computational Fluid Dynamics (CFD) with a Genetic Algorithm. The employed optimizer OPAL++ sets ten variables for each individual, which describe the hydrofoil shape, length and tip speed ratio (TSR). …”
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Simple energy detector for two-stage classification for antidrone systems by Zurovac Snežana, Petrović Nikola, Joksimović Vasilija, Pokrajac Ivan, Mikanović Darko, Sazdić-Jotić Boban

“…The successful detection and identification of Wi-Fi, Bluetooth, and drone signals in both ISM frequency bands were performed, proving the method's reliability.The proposed approach improved execution times and energy savings, indicating that applying the energy detector on the spectrograms in a two-stage classification significantly enhances the performance of ADRO applications for real-time drone detection. Furthermore, we conducted a comparative analysis of different deep learning algorithms at the outset of twostage classification, which is a potential basis for adopting this approach.…”
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Automated Detection of Central Retinal Artery Occlusion Using OCT Imaging via Explainable Deep Learning by Ansgar Beuse, Daniel Alexander Wenzel, MD, Martin Stephan Spitzer, MD, Karl Ulrich Bartz-Schmidt, MD, Maximilian Schultheiss, MD, Sven Poli, MD, Carsten Grohmann, PhD, MD

“…Our model followed a multiclass approach, distinguishing among the 3 different classes: control, CRAO, and differential diagnoses. The evaluation was conducted by the “one vs. all” area under the receiver operating characteristics curve (AUC) method. …”
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Verifying the Effects of the Grey Level Co-Occurrence Matrix and Topographic–Hydrologic Features on Automatic Gully Extraction in Dexiang Town, Bayan County, China by Zhuo Chen, Tao Liu

“…Erosion gullies can reduce arable land area and decrease agricultural machinery efficiency; therefore, automatic gully extraction on a regional scale should be one of the preconditions of gully control and land management. The purpose of this study is to compare the effects of the grey level co-occurrence matrix (GLCM) and topographic–hydrologic features on automatic gully extraction and guide future practices in adjacent regions. …”
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Aided Greenway Design Approach Based on Internet Big Data and AIGC Fine-Tuning Model by Yifan WU, Lu MENG, Liang LI

“…The framework can be divided into four major processes: Network big data collection, intelligent evaluation of network big data, AIGC image fine-tuning model construction, and AI-aided design generation. 1) Network big data collection: Obtain datasets related to the required landscape architecture segmentation scenarios through online social platforms for evaluation and fine-tuning model training. 2) Intelligent evaluation of network big data: Analyze and categorize image data, and filter out the scenario images with excellent user evaluation based on text sentiment evaluation and subsidiary information analysis. 3) AIGC image fine-tuning model construction: Utilize the high-quality image dataset obtained in the previous stage to conduct fine-tuning model training based on a mature pre-trained general model, and inject relevant knowledge and experience from the sub-scenarios of landscape architecture in a cost-effective manner, thereby enhancing the model’s generative capabilities. 4) AI-aided design generation: Employ the fine-tuning model obtained through training to assist in generating scenario images according to the needs of design practice, and based on the intensity of control over the generated content, divide the aided scenario generation into “weakly controlled” and “strongly controlled” aided design scenarios. …”
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Identifikasi Dini Curah Hujan Berpotensi Banjir Menggunakan Algoritma Long Short-Term Memory (Lstm) Dan Isolation Forest by Ahmad Wijayanto, Aris Sugiharto, Rukun Santoso

“…The Isolation Forest algorithm is then used to automatically identify rainfall with flood potential. …”
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Epidemiological trends and age-period-cohort effects on periodontal diseases incidence across the BRICS from 1992 to 2021 by Xiaochan Wang, Yuting Xu, Xiangming Ma, Ruixing Nan, Yuhang Wu, Peiyu Cheng

“…Distinct national trajectories, shaped by varying socioeconomic, cultural, and historical frameworks, highlight that public health initiatives must be meticulously customized to mitigate and control the periodontal diseases burden across diverse settings.…”
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Open source automated insulin delivery systems: experience of russian patients by V. V. Klimontov, K. S. Shishin

“…However, 79% of them had technical difficulties when setting up the system for the first time, 46% had difficulty understanding the settings of the algorithm / program, and 35% spent a lot of effort studying the system. …”
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Remaining Useful Life Prediction and Fault Diagnosis of Rolling Bearings Based on Short-Time Fourier Transform and Convolutional Neural Network by Shuang Zhou, Maohua Xiao, Petr Bartos, Martin Filip, Guosheng Geng

“…The rolling bearing life-cycle datasets from the Intelligent Management System were applied to verify the proposed life prediction method, showing that its accuracy reaches 99.45%, and the prediction effect is good. Multiple sets of validation experiments were conducted to verify the proposed fault diagnosis method with the open datasets from Case Western Reserve University. …”
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Identification of osteoarthritis-associated chondrocyte subpopulations and key gene-regulating drugs based on multi-omics analysis by Ting Hao, Zhiwei Pei, Sile Hu, Zhenqun Zhao, Wanxiong He, Jing Wang, Liuchang Jiang, jirigala Ariben, Lina Wu, Xiaolong Yang, Leipeng Wang, Yonggang Wu, Xiaofeng Chen, Qiang Li, Haobo Yang, Siqin Li, Xing Wang, Mingqi Sun, Baoxin Zhang

“…To screen for hub genes associated with OA, a combination of 10 machine learning algorithms and 113 algorithm compositions was integrated. …”
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Dunes Identification Based on Attention Mechanism With Dual-Branch Codec by Zhaobin Wang, Yan Li, Yue Shi, Yaonan Zhang, Xuejun Guo

“…A series of ablation experiments, effectiveness analyses, and comparative studies across different algorithms on two datasets were conducted to evaluate the generalization ability of dual-branch codec network based on attention mechanism across diverse datasets. …”
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Reliability Analysis of Three-dimensional Soil Slopes Considering Spatial Variability of Soil Parameters by Wan Yukuai, Zhou Yuqi, Shao Linlan, Wang Yuke, Zhang Fei

“…To complement the random field modeling, an enhanced PSO algorithm is proposed for 3D slope stability analysis. …”
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