Mathematical approach for rapid determination of pull-in displacement in MEMS devices by Yongcun Shao, Yutong Cui

“…Limitations include the need for modifying the pull-in criterion when variational formulation is unattainable and the exclusion of environmental factors like temperature and pressure fluctuations. Future research should focus on refining MEMS models to incorporate these factors and integrating the approach with techniques such as Galerkin technology.ConclusionThis research advances the mathematical understanding of MEMS device behavior and holds substantial potential for the design and optimization of MEMS devices across various applications, further driving the progression of MEMS technology.…”
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Single-Shot Femtosecond Raster-Framing Imaging with High Spatio-Temporal Resolution Using Wavelength/Polarization Time Coding by Yang Yang, Yongle Zhu, Xuanke Zeng, Dong He, Li Gu, Zhijian Wang, Jingzhen Li

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Dimensional Accuracy Evaluation of Single-Layer Prints in Direct Ink Writing Based on Machine Vision by Yongqiang Tu, Haoran Zhang, Hu Chen, Baohua Bao, Canmi Fang, Hao Wu, Xinkai Chen, Alaa Hassan, Hakim Boudaoud

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Preservation of the lost: The case of heritage in urban design of the “Ekaterinburg City” by Yulia V. Udalova

“…The research problem is the search for architectural, artistic and non-spatial methods that allow the integration of tangible and intangible heritage into the newly created urban fabric. …”
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Robust InceptionV3 with Novel EYENET Weights for Di-EYENET Ocular Surface Imaging Dataset: Integrating Chain Foraging and Cyclone Aging Techniques by Muhammad Ahmad Khan, Saif Ur Rehman Khan, Hafeez Ur Rehman, Suliman Aladhadh, Ding Lin

“…Our results demonstrate that the InceptionV3 model, fine-tuned with the newly developed EYENET weights, outperforms both traditional ImageNet weights and other pretrained models, showing a 2% accuracy improvement. This research highlights the potential of nature-inspired optimization algorithms and tailored datasets to enhance AI model robustness and adaptability in the context of medical disease diagnosis, particularly in the field of diabetic eye disease.…”
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Determination of lithium concentration in black mass using laser-induced breakdown spectroscopy hand-held instrumentation by Elisa Galli, Mattia Massa, Alessandra Zanoletti, Silvana De Iuliis, Elza Bontempi, Laura Eleonora Depero, Vincenzo Palleschi, Laura Borgese

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Investigation of the ecology of winter plankton of Lake Baikal using complex instrumental methods by E. Yu. Naumova, T. P. Rzhepka, M. M. Makarov, A. S. Olshukov, K. M. Kucher, M. Z. Magomedova, E. S. Troitskaya

“…The obtained field data will make it possible to further improve the pattern recognition algorithm in the software of the holographic installation for the specific conditions of Lake Baikal. …”
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Optimization of grading rings for 1000 kV dry-type air-core shunt reactor based on hybrid RBFNN–Kriging surrogate model by Yiqin Liu, Liang Xie, Dongyang Li, Yunpeng Liu, Kexin Liu, Gang Liu

“…First, the sparrow search algorithm is used to optimize the hyperparameters of the RBFNN. …”
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Rock blasting evaluation - image recognition method based on deep learning by Haibao YI, Aixiang Wu, Xiliang Zhang

“…Research has shown that the half-hole rate derived from manual statistics and image recognition is 68.16% and 67.15%, respectively, with an average error of 1.49%. …”
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Preoperative Planning Using 3D Printing as a Way to Improve the Outcomes of Surgical Treatment for Pilon Fractures by A. B. Koshkin, M. V. Parshikov, S. V. Novikov, A. A. Prokhorov, A. M. Fai

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Smart grid stability prediction model using two-way attention based hybrid deep learning and MPSO by Umesh Kumar Lilhore, Surjeet Dalal, Magdalena Radulescu, Marinela Barbulescu

“…We also utilize a t-Nearest Neighbours algorithm to pre-process the initial dataset. An MPSO method combines the features of CNN and Bi-LSTM methods, resulting in better prediction accuracy. …”
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Advanced clustering and transfer learning based approach for rice leaf disease segmentation and classification by Samia Nawaz Yousafzai, Fahd N. Al-Wesabi, Hadeel Alsolai, Shouki A. Ebad, Inzamam Mashood Nasir, Emad Fadhal, Adel Thaljaoui

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Changes Detection of Mangrove Vegetation Area in Banyak Islands Marine Natural Park, Sumatra, Southeast Asia by Muhammad Arif Nasution, Helmy Akbar, Singgih Afifa Putra, Ammar AL-Farga, Esraa E. Ammar, Yudi Setiawan

“…Based on these findings, we recommend implementing targeted conservation measures and further research to understand the underlying causes of the observed changes, thereby supporting the region's sustainable development and ecological health.  …”
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Geometric modeling of the process of digging trench pits during pipeline repair by F. N. Pritykin, I. S. Kuznetsov

“…On the basis of the research carried out, an algorithm for automated control of the movement of the excavator bucket when digging trench pits is developed. …”
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Development of Control Technology for Bypass Flue Gas Drying Tower of Coal-Fired Power Plant by Wenxin WANG, Yi GAO, Chunhong LIU, Xiaozhong TONG, Biao CHEN, Zhifu QI, Qin ZHANG

“…Taking two Zhejiang power plants as the research objects, the difficulties of zero discharge control technology for desulphurization wastewater from bypass flue gas drying tower are analyzed. …”
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Integrating Time Series Anomaly Detection Into DevOps Workflows by Gustav Kanahols, Shahriar Hasan, Per Erik Strandberg

“…The performance evaluation results aiming to establish a baseline for further research show that AI-based anomaly detection can significantly benefit DevOps workflows but emphasize the need for algorithm selection and parameter tuning tailored to the specific industry context and dataset.…”
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Enhancing Industrial Robot Arms Data Security with a Hybrid Encryption Approach by Mustafa Emre Erbil, Hilmi Cenk Bayrakçı, Merdan Özkahraman

“…This study not only addresses the pressing need for robust data protection mechanisms in the face of evolving cyber threats but also sets a benchmark for future research in the field of industrial robotics security.…”
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Structural optimization of magnesium alloy vascular scaffolds for resistance to vascular plaque stress damage by Xin Shen, Jia She, Xianhua Chen, Chengzhi Duan, Senwei Wang, lei Shen, Fugui He

“…However, in clinical applications, the flawed scaffold structure design will result in acute thrombosis and plaque rupture, which are factors that are often ignored in scaffold designs. In this research, we report on a new concept, taking vascular plaque stress damage as the design index of scaffold structure, and the finite element multi-objective neural network algorithm is responsible for the optimal design. …”
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FEATURES OF DIAGNOSTICS AND TREATMENT OF IMPACTED TEETH (A LITERATURE REVIEW) by P.S. Flis, L.O. Brodetska

“… Research rationale. Impacted teeth are those that remain partially or completely in the bony tissue or under the mucous membrane for 2 years after the term of their physiological eruption. …”
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Neural Network Method of Controllers’ Parametric Optimization with Variable Structure and Semi-Permanent Integration Based on the Computation of Second-Order Sensitivity Functions... by Serhii Vladov, Lukasz Scislo, Nina Szczepanik-Ścisło, Anatoliy Sachenko, Victoria Vysotska

“…This article presents a method for researching processes in automatic control systems based on the operator approach for modelling the control object and the controller. …”
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