Prediction and Optimization of Bolt Parameters for Automotive Fuel Cell Stack under Random Vibration by Yao Junqi, Yin Yan, Wang Bowen, Zhang Fan, Qin Zhikun, Wang Zixuan, Guo Ting

“…Proton exchange membrane fuel cells (PEMFCs) directly convert chemical energy into electrical energy, offering high energy conversion efficiency, zero emissions, low noise, and rapid response, making them highly promising for vehicular applications. …”
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Practical DU-CU Placement in an Enhanced Mobile BroadBand Request During 5G Traffic by Ange Joel Nounga Njanda, Joao Filipe Muchanga, Hojjat Baghban, Karcius Day R. Assis

“…This modular segmentation directly impacts deployment costs and energy consumption. …”
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Multi-Objective Optimization of Insulation Thickness with Respect to On-Site RES Generation in Residential Buildings by Agis M. Papadopoulos, Konstantinos Polychronakis, Elli Kyriaki, Effrosyni Giama

“…A Pareto-fronts-based optimization algorithm is applied to determine the optimal combination of insulation thicknesses for the walls, the roof and the floor, focusing on minimizing the life cycle cost and maximizing the percentage of renewable energy utilized. …”
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A global approach to detecting and characterizing water leakage in a concrete bridge deck: Parametric study to validate an adapted Full-Waveform Inversion method by Viktoriia Buliuk, Amine Ihamouten, Christophe Heinkele, Xavier Dérobert

“…Such an approach enables the attainment of a low relative error using the currently available measurement device.…”
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Non-destructive assessment of hemp seed vigor using machine learning and deep learning models with hyperspectral imaging by Damrongvudhi Onwimol, Pongsan Chakranon, Kris Wonggasem, Papis Wongchaisuwat

“…To simplify the analysis and reduce computational complexity, a subset of key spectral wavelengths was selected using a successive projection algorithm. Deep learning models were trained on these selected wavelengths to directly learn patterns from the raw spectral data. …”
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Crack Detection Method of Sleeper Based on Cascade Convolutional Neural Network by Liming Li, Shubin Zheng, Chenxi Wang, Shuguang Zhao, Xiaodong Chai, Lele Peng, Qianqian Tong, Ji Wang

“…This work presents a new method for sleeper crack identification based on cascade convolutional neural network (CNN) to address the problem of low efficiency and poor accuracy in the traditional detection method of sleeper crack identification. …”
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MSDP-Net: A YOLOv5-Based Safflower Corolla Object Detection and Spatial Positioning Network by Hui Guo, Haiyang Chen, Tianlun Wu

“…In response to the challenge of low detection and positioning accuracy for safflower corollas during field operations, we propose a deep learning-based object detection and positioning algorithm called the Mobile Safflower Detection and Position Network (MSDP-Net). …”
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Node Classification Method Based on Hierarchical Hypergraph Neural Network by Feng Xu, Wanyue Xiong, Zizhu Fan, Licheng Sun

“…The HCHG combines the high-order relationship-capturing capability of hypergraphs, uses the Louvain community detection algorithm to identify community structures within the network, and constructs hypergraphs layer by layer. …”
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Deep‐Learning‐Enhanced Electron Microscopy for Earth Material Characterization by Hans vanMelick, Richard Taylor, Oliver Plümper

“…This workflow involves capturing high‐resolution (HR) regions within a low‐resolution (LR) area, and registering them with subpixel accuracy. …”
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Schools food waste audit as the criteria for evaluating the quality of school meals by Anna V. Stol

“…The problem of low satisfaction with school meals leads to nutrient deficiency in children and increases the burden on the economy and environment of regions and municipalities. …”
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Design of a discrete сosine transformation processor for image compression systems on a losless-to-lossy circuit by V. V. Kliuchenia

“…Direct  and  inverse  transformation should be carried out according to the “whole-to-whole” processing scheme with preservation of the perfective reconstruction  of  the  original  image  (the  coefficients  are  represented  by  integer  or  binary  rational  numbers; the number of multiplication operations is minimal, if possible, they are excluded from the algorithm). …”
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A deep operator network for Bayesian parameter identification of self-oscillators by Tobias Sugandi, Bayu Dharmaputra, Nicolas Noiray

“…Metropolis-adjusted Langevin algorithm is employed to obtain the posterior distribution of the parameters. …”
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SWOT analysis of social and pedagogical potential of the artistic and cultural environment of a region (on the example of the Voronezh region) by Olga Viktorovna Netsenko, Maria Sergeevna Barabanova

“…The methodology of the SWOT analysis made it possible to determine the directions of development of the interaction of educational and culture institutions in the region to solve the problems of social education.…”
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Methodological levels of research the post-industrial development of the city by Olha Suptelo

“…However, in our opinion, the more complex the object of study, the wider and more directional should be the methodological apparatus of research. …”
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Optimization of Noise Transfer Path Based on the Composite Panel Acoustic and Modal Contribution Analysis by Qiang Liu, Xuanyi Zhou, Jianxin Zhu, Xiaoping Gong

“…The noise of a cab directly affects the comfort and labor efficiency of the operators. …”
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Triplet Spatial Reconstruction Attention-Based Lightweight Ship Component Detection for Intelligent Manufacturing by Bocheng Feng, Zhenqiu Yao, Chuanpu Feng

“…Automatic component recognition plays a crucial role in intelligent ship manufacturing, but existing methods suffer from low recognition accuracy and high computational cost in industrial scenarios involving small samples, component stacking, and diverse categories. …”
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Cost Effective Surface Disruption Detection System for Paved and Unpaved Roads by Mumbere Muyisa Forrest, Zhigang Chen, Shahzad Hassan, Ian Osolo Raymond, Karim Alinani

“…Therefore, this paper proposes a novel and low-cost method of detecting RSD based on ultrasonic sensors. …”
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Effective k-nearest neighbor models for data classification enhancement by Ali A. Amer, Sri Devi Ravana, Riyaz Ahamed Ariyaluran Habeeb

“…PR explicitly identifies points with low PR scores as outliers and gives a direct indication of how consistent a point is with its neighbors. …”
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Visual information perception system of coal mine comprehensive excavation working face for edge computing terminal by Dongyang Zhao, Guoyong Su, Pengyu Wang

“…Secondly, the pruning and distillation algorithm is used to lighten the FSBD‐YOLOv5s model, and the model complexity is greatly reduced while maintaining the model detection accuracy. …”
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Probing light scalars and vector-like quarks at the high-luminosity LHC by U. S. Qureshi, A. Gurrola, A. Flórez, C. Rodriguez

“…The proposed methodology can be a key mode for discovery over a large mass range, including low masses, traditionally considered difficult due to experimental constraints.…”
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