Investigation of the Effect of Tool Rotation Rate in EDM Drilling of Ultrafine Grain Tungsten Carbide Using Predictive Machine Learning by Sai Dutta Gattu, Lucas Pardo Bernardi, Jiwang Yan

“…A structured analytical workflow, combining Taguchi–Grey optimization, regression analysis, and classification models, was designed to capture discharge dynamics across macro- and micro-timescales. …”
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Research on AC–DC High-Frequency Interaction Mechanism and Valve-Side High-Frequency Oscillation Suppression Strategy of Flexible HVDC Converter by Liwu Tan, Yang Zhang, Yanan Wu, Yu An, Yuhan Huang

“…This approach is complemented by a dual-strategy control scheme combining switching frequency optimization and active damping techniques. …”
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Modular multilevel converter periodic trajectory determination — A generic Fourier-based collocation method by Philippe De Rua, Jef Beerten

“…In this paper, the proposed method is also applied to an illustrative simple RLC circuit as well as to a complete arm-averaged model of the MMC; it is validated against simulations and compared with a state-of-the-art shooting method.…”
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New hybrid features extracted from US images for breast cancer classification by Gigi Tăbăcaru, Simona Moldovanu, Dan Munteanu, Marian Barbu

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Design of a spider-inspired wheeled compliant leg for search mobile robots by Yilin Wang, Felix Pancheri, Tim C. Lueth, Yilun Sun

“…Different from the traditional fully-actuated method with independent motor joint control, this leg employs an under-actuated compliant mechanism design with overall semi-tendon-driven control, which enables the passive and active terrain adaptation, system simplification and lightweight of the realized search robot. …”
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Cardiovascular risk markers in women with metabolic syndrome at the menopausal transition using multimodal non-drug therapies by R. R. Berikhanova, I. A. Minenkoa, S. A. Bondarev

“…We assessed blood pressure (BP), lipid profile, levels of glucose and serum insulin, and estimated the HOMA-IR index (Homeostasis Model Assessment — Insulin Resistance).Results. Complex treatment using physical factors contributed to the optimization of BP control, improved carbohydrate and fat metabolism. …”
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Comprehensive Thermodynamic Performance Evaluation of a Novel Dual-Shaft Solid Oxide Fuel Cell Hybrid Propulsion System by Jinghui Xu, Xizhen Wang, Zepeng Wang, Kaiqiang Yang, Xueshun Li, Yongjun Zhao

“…The findings provide valuable insights into optimizing control strategies and offer a novel, efficient, and low-carbon power solution for aviation, supporting the industry’s transition towards sustainability.…”
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Sustainable management of Cuba’s fresh supply chain from the perspective of Marx’s metabolism by Lihua Hu, Chengjiu Wang, Ping He

“…First of all, from the perspective of Marx’s metabolism, this paper deeply reveals the characteristics of Cuba’s fresh supply chain and provides the author with the inventory management mode and macro basis with the control theory as the technical means. Secondly, based on the H∞ control theory, the switching control model integrating decentralized and combined inventory is innovatively designed, and the linear matrix inequality method is used to construct the demand fluctuation suppression mechanism, which significantly reduces the bullwhip effect; Thirdly, the dynamic correlation function between fresh-keeping efforts and supply chain profits is established to quantitatively verify the Pareto improvement space of supplier retailer revenue improvement under collaborative inventory mode; Finally, the governance framework of “political-ecological supply chain” is proposed to realize metabolic repair from three dimensions: the closed-loop system of agricultural products based on circular economy reconstructs the material flow, the precise inventory management under the support of digital twin technology optimizes the energy exchange, and the ecological compensation mechanism led by community cooperatives reconciles the value distribution. …”
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Artificial Intelligence in the Analysis of Upper Gastrointestinal Disorders by Chang Seok Bang

“…Neural networks were used to detect, classify, and delineate various images of lesions because the local feature selection and optimization of the deep learning model enabled accurate image analysis. …”
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Artificial Intelligence and/or Machine Learning Algorithms in Microalgae Bioprocesses by Esra Imamoglu

“…This review examines the increasing application of artificial intelligence (AI) and/or machine learning (ML) in microalgae processes, focusing on their ability to improve production efficiency, yield, and process control. AI/ML technologies are used in various aspects of microalgae processes, such as real-time monitoring, species identification, the optimization of growth conditions, harvesting, and the purification of bioproducts. …”
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ECONOMIC ANALYSIS OF DEFORESTATION IMPACT ON THE YIELD OF AGRICULTURAL CULTURES IN UKRAINE by Ivan OPENKO, Oleksandr SHEVCHENKO, Ruslan TYKHENKO, Oleg TSVYAKH, Yanina STEPCHUK

“…General concept of the formation and functioning of a forecasting model of scientific and technological development of the region’s agriculture in the digital economy, which is forming in accordance with the well-known Federal program is proposed. …”
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Advances in Zeroing Neural Networks: Bio-Inspired Structures, Performance Enhancements, and Applications by Yufei Wang, Cheng Hua, Ameer Hamza Khan

“…Additionally, we systematically examine existing nonlinear activation functions, which play a crucial role in determining the convergence speed and noise robustness of ZNN models. Finally, we explore the diverse applications of ZNN models across various domains, including robot path planning, motion control, multi-agent coordination, and chaotic system regulation.…”
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Deep Embedded Auto-encoder for End-to-End Unsupervised Image Anomaly Detection by Xuan Huang, Hailin Tang

“…A key innovation is our intelligent sample selection mechanism, which enhances model stability by prioritizing high-confidence normal samples during training, along with an iterative optimization strategy that progressively improves anomaly discrimination. …”
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Jumping knowledge graph attention network for resource allocation in wireless cellular system by Qiushi Sun, Zhou Fang, Yin Li, Ovanes Petrosian

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A new numerical method for processing longitudinal data: clinical applications by Ilaria Stura, Emma Perracchione, Giuseppe Migliaretti, Franco Cavallo

“…In particular, our mixed model, that uses Radial Basis Functions (RBFs) combined with Stochastic Optimization Algorithms (SOMs), is here presented and tested on clinical data. …”
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Steel Surface Defect Detection Technology Based on YOLOv8-MGVS by Kai Zeng, Zibo Xia, Junlei Qian, Xueqiang Du, Pengcheng Xiao, Liguang Zhu

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The impact of innovative city policies on land use efficiency by Jie Zhang, Tao Sun, Yuting Fan

“…Based on the research results, this paper proposes to optimize the industrial structure; Strengthen the government’s pollution control; Build a “Smart Land” management system; Countermeasures and suggestions such as improving land use efficiency in accordance with local conditions.…”
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A DSP–FPGA Heterogeneous Accelerator for On-Board Pose Estimation of Non-Cooperative Targets by Qiuyu Song, Kai Liu, Shangrong Li, Mengyuan Wang, Junyi Wang

“…Experimental results show that the optimized model achieves a peak throughput of 399.16 GOP/s with less than 1% accuracy loss. …”
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A XGBoost-Based Prediction Method for Meat Sheep Transport Stress Using Wearable Photoelectric Sensors and Infrared Thermometry by Ruiqin Ma, Runqing Chen, Buwen Liang, Xinxing Li

“…The accuracy of the assessment of the transport stress state of meat sheep after the optimization of three parameters was 100%, 90.91%, and 93.33%, and the classification accuracy of the overall model reached 94.92%. …”
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A Coupling Error Compensation Approach Concerning Constrained Space Coordinate Precision of a Heavy-Load Longitudinal and Transversal Swing Table by Manxian Liu, Rui Bao, Shuo Li, Liang Ji, Suozhuang Li, Xiaoqiang Yan, Wei Li

“…In this paper, an accurate error compensation method based on geometric parameter correction and process optimization is proposed for the problem of coupling error in a heavy-load longitudinal and transversal swing table (HLTST) under space constraints, which makes it difficult to control the position efficiently and accurately. …”
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