Management of the business system of the enterprise by O. Grosheleva, M. Ivanova, O. Usatenko

“…It confirms the effect of the law of marginal utility costs for communication with the external environment. An algorithm for determining the optimal share of sales costs in revenue is proposed. …”
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Computer vision-based location-aware antenna system for 5G applications by Irshad Ali T K, Ansal K A, Sumitha Mathew, Rashida K

“…This method identifies and extracts positional coordinates for potential users, allowing the antenna system—mounted on a rotating assembly—to adjust its orientation and accurately direct its beam toward the target objects determined by the algorithm. A rotated square patch antenna is designed to operate at dual frequencies of 3.7 GHz and 5.5 GHz within the sub-6 GHz range. …”
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Intuition-guided Reinforcement Learning for Soft Tissue Manipulation with Unknown Constraints by Xian He, Shuai Zhang, Jian Chu, Tongyu Jia, Lantao Yu, Bo Ouyang

“…To address these problems, an intuition-guided deep reinforcement learning framework based on soft actor-critic (ID-SAC) was proposed for soft tissue manipulation under unknown constraints. The SAC algorithm is automatically activated upon encountering an obstacle, and the designed intuitive manipulation (IM) strategy is used to pull soft tissues toward the target shape directly when the obstacle is distant. …”
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Features of assessing the investment attractiveness of high-tech projects by I. A. Mandych, A. V. Bykova, O. B. Gaiman

“…Moreover, there are a large number of operators supporting high-tech projects actively working in the Russian market. …”
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Identification of clinical diagnostic and immune cell infiltration characteristics of acute myocardial infarction with machine learning approach by Huali Jiang, Weijie Chen, Benfa Chen, Tao Feng, Heng Li, Dan Li, Shanhua Wang, Weijie Li

“…Weighted Gene Co-expression Network Analysis (WGCNA) was used to identify significant module genes associated with AMI. Machine learning algorithms (Support Vector Machine (SVM), Random Forest (RF) and Least Absolute Shrinkage and Selection Operator (LASSO)) were applied to identify hub genes. …”
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Identification of potential metabolic biomarkers and immune cell infiltration for metabolic associated steatohepatitis by bioinformatics analysis and machine learning by Haoran Xie, Junjun Wang, Qiuyan Zhao

“…Protein-Protein Interaction (PPI) network and machine learning algorithms, including Least Absolute Shrinkage and Selection Operator (LASSO) regression, Support Vector Machine-Recursive Feature Elimination (SVM-RFE), and Random Forest (RF), were applied to screen for signature MRDEGs. …”
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How Much Power Is Needed for RIS to Beat Relays? A Sustainability Framework by Mohammad Abualhayja'a, Mahmoud Wagih, Anthony Centeno, Muhammad Ali Imran, Lina Mohjazi

“…However, to ensure efficient RIS deployment and operation, it is crucial to understand the operational costs of RIS-assisted communication systems. …”
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GRK5 as a Novel Therapeutic Target for Immune Evasion in Testicular Cancer: Insights from Multi-Omics Analysis and Immunotherapeutic Validation by Congcong Xu, Qifeng Zhong, Nengfeng Yu, Xuqiang Zhang, Kefan Yang, Hao Liu, Ming Cai, Yichun Zheng

“…<b>Methods:</b> Consensus clustering analysis was conducted to delineate immune subtypes, while weighted gene co-expression network analysis (WGCNA), least absolute shrinkage and selection operator (LASSO) regression, and support vector machine (SVM) algorithms were employed to evaluate the potential efficacy of anti-tumor immunotherapy. …”
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Power Management Controller for Microgrid Integration of Hybrid PV/Fuel Cell System Based on Artificial Deep Neural Network by Abdulbaset Abdulhamed Mohamed Nureddin, Javad Rahebi, Adel Ab-BelKhair

“…Based on the investigation report, an algorithm is proposed for an advanced maximum power point tracking (MPPT) controller. …”
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Continuous and Discrete Similarity Coefficient for Identifying Essential Proteins Using Gene Expression Data by Jiancheng Zhong, Zuohang Qu, Ying Zhong, Chao Tang, Yi Pan

“…We also compared the PJC coefficient with other methods using the NF-PIN algorithm, which predicts proteins by constructing active PPI networks through dynamic gene expression. …”
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Integrative analysis identifies IL-6/JUN/MMP-9 pathway destroyed blood-brain-barrier in autism mice via machine learning and bioinformatic analysis by Cong Hu, Heli Li, Jinru Cui, Yunjie Li, Feiyan Zhang, Hao Li, Xiaoping Luo, Yan Hao

“…Through integrative analysis combining differential gene expression profiling with three machine learning algorithms - Least Absolute Shrinkage and Selection Operator (LASSO) regression, Support Vector Machine Recursive Feature Elimination (SVM-RFE), and RandomForest combined with eXtreme Gradient Boosting (XGBoost) - we identified four hub genes, with JUN emerging as a core regulator. …”
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Predicting survival in patients with SARS-CoV-2 based on cytokines and soluble immune checkpoint regulators by Nuri Lee, Kibum Jeon, Min-Jeong Park, Wonkeun Song, Seri Jeong

“…IL-6 showed the highest area under the receiver-operating curve (0.844, 95% CI = 0.751–0.913) to discriminate non-survival, with a sensitivity of 78.9% and specificity of 82.4%. …”
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Energy of Unmanned Aerial Vehicle (UAV) Windmill (theory, streamlined airflow) by L. I. Grechikhin, D. A. Saharuk, A. B. Sivashko, A. A. Tsanava

“…The paper presents a mechanism of a frontal resistance and a thrust load of the operating windmill which is based on occurrence of an active environmental component and formulates the conditions under which any minimum resistance and maximum thrust load are realized. …”
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IMA-FLADRC-Based Electric-Driven High-Speed Maize Precision Seeding Control Strategy and System by Song Wang, Shujuan Yi, Bin Zhao, Yifei Li, Dongming Zhang, Tao Chen, Wensheng Sun

“…This study develops an electric-driven high-speed maize precision seeding control system, establishing kinematic models for the seeding and guiding motors relative to operating speed. An Improve Mayfly Algorithm-Fuzzy Linear Active Disturbance Rejection Control (IMA-FLADRC)-based control strategy is proposed, integrating a fuzzy algorithm to adaptively adjust the proportional coefficient of the Linear State Error Feedback (LSEF) and optimizing key parameters using an IMA, enhancing system adaptability and robustness. …”
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Construction of a feature gene and machine prediction model for inflammatory bowel disease based on multichip joint analysis by Yan Chaosheng, Sun Haowen, Rao Jingjing, Dai Yuanyuan, Duan Wenhui, Sheng Yingyue, Xue Yuzheng

“…To select genetic features, we utilized three machine learning algorithms, namely, least absolute shrinkage and selection operator (LASSO), support vector machine (SVM), and random forest (RF), to identify differentially expressed genes. …”
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Visual Three-Dimensional Reconstruction of Aortic Dissection Based on Medical CT Images by Xiaojie Duan, Dandan Chen, Jianming Wang, Meichen Shi, Qingliang Chen, He Zhao, Ruixue Zuo, Xiuyan Li, Qi Wang

“…The contrast experiment proved that the proposed algorithm could realize accurate aorta segmentation without selecting the interested region, and it had higher accuracy than GVF snake algorithm (93.29% versus 87.54% on aortic arch, 94.30% versus 89.25% on descending aorta). …”
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Research on Anti-Trojan Malware Mechanism Based on Characteristic Behavior by Weifu Zou, Yiying Zhang, Suxiang Zhang, Chengyue Yang

“…Once the application was considered as Trojan malware, the system would dispatch the appropriate algorithm for processing. The mechanism triggered by sensitive behaviors, and had the active prevention function and self-learning function. …”
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Research on Anti-Trojan Malware Mechanism Based on Characteristic Behavior by Weifu Zou, Yiying Zhang, Suxiang Zhang, Chengyue Yang

“…Once the application was considered as Trojan malware, the system would dispatch the appropriate algorithm for processing. The mechanism triggered by sensitive behaviors, and had the active prevention function and self-learning function. …”
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Optimizing Intermodal Port–Inland Hub Systems in Spain: A Capacitated Multiple-Allocation Model for Strategic and Sustainable Freight Planning by José Moyano Retamero, Alberto Camarero Orive

“…The model includes four major ports—Barcelona, Valencia, Málaga, and Algeciras—as intermodal gateways connected to the 47 provinces of peninsular Spain through calibrated cost matrices based on real distances and mode-specific road and rail costs. A Genetic Algorithm is applied to evaluate 120 scenarios, varying the number of active hubs (4, 6, 8, 10, 12), transshipment discounts (α = 0.2 and 1.0), and internal parameters. …”
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Improvement of Single-phase Four-quadrant Converter Dual-loop Control by LI Wei

“…The control method could not only control the active and the reactive of the line current exactly, but also had good dynamic response. …”
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