Design and Implementation of Novel Testing System for Intelligent Tire Development: From Bench to Road by Ti Wu, Xiaolong Zhang, Dong Wang, Weigong Zhang, Deng Pan, Liang Tao

“…The experimental results confirmed the higher accuracy of accelerometers in vertical load estimation, validated the developed estimation algorithms and the intelligent tire product, and demonstrated the functionality and performance of the testing system. …”
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Experimental Study on Loosening and Vibration Characteristics of Vibrating Screen Bolts of Combine Harvester by Lulu Yuan, Meiyan Sun, Guangen Yan, Kexin Que, Bangzhui Wang, Sijia Xu, Yi Lian, Zhong Tang

“…The field vibration test results showed that the characteristic values of the transmission shaft bolt structure of the vibrating screen were at a relatively high level, indicating that this part is subjected to a large vibration load. Furthermore, frequency domain feature analysis revealed that the vibration frequency components in this area are complex, which further increases the risk of bolt loosening. …”
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Deep Learning Method for Bearing Fault Diagnosis by LIU Xiu, MA Shan-tao, XIE Yi-ning, HE Yong-jun

“…In recent years, deep learning technology has shown great potential in bearing fault diagnosis based on vibration signals.However, in the fault diagnosis method based on deep learning, the traditional single network topology feature extraction has weak discrimination and low noise robustness, and the accuracy of fault diagnosis is not high.In addition, most of the current research methods have a low fault recognition rate in a variable load environment.In response to the above problems, this paper proposes an improved neural network end-to-end fault diagnosis model.The model combines convolutional neural networks (CNN) and the attention long short-term memory (ALSTM) based on the attention mechanism, and uses ALSTM to capture long-distance correlations in time series data , Effectively suppress the high frequency noise in the input signal.At the same time, a multi-scale and attention mechanism is introduced to broaden the range of the convolution kernel to capture high and low frequency features, and highlight the key features of the fault. …”
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SYNTAXIC NOMINATION IN THE POETIC PICTURE OF THE WORLD: VIEW FROM LINGUISTIC AND RHETORIC POSITION by A. Burov, G. Burova

“…Kushner, the authors reveal specificity in the use of predicative names as structural elements that acquire a special semantic load of rhetorical orientation in a poetic text. …”
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Explainable AI-Enhanced Human Activity Recognition for Human–Robot Collaboration in Agriculture by Lefteris Benos, Dimitrios Tsaopoulos, Aristotelis C. Tagarakis, Dimitrios Kateris, Patrizia Busato, Dionysis Bochtis

“…The results highlight the central role of torso-mounted sensors, particularly in the lumbar region, cervix, and chest, in capturing core movements, while wrist sensors provided useful complementary information, especially for load-related activities. The XGBoost-based model, selected mainly for allowing an in-depth analysis of feature contributions by considerably reducing the complexity of calculations, demonstrated strong performance in HAR. …”
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A comprehensive guide to selecting suitable wavelet decomposition level and functions in discrete wavelet transform for fault detection in distribution networks by Esraa M. Shalby, Almoataz Y. Abdelaziz, Eman S. Ahmed, Basem Abd-Elhamed Rashad

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Environmental Factors in Structural Health Monitoring—Analysis and Removal of Effects from Resonance Frequencies by Rims Janeliukstis, Lasma Ratnika, Liga Gaile, Sandris Rucevskis

“…The novelty lies in two additional steps that supplement this procedure, namely, the nonlinear estimation of the relative effects of various environmental factors, such as temperature, humidity, and ambient loads on the resonant frequencies, and the selection of the most informative resonant frequency features using a non-parametric neighborhood component analysis algorithm. …”
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Lightweight detection algorithms for small targets on unmanned mining trucks by Shuoqi CHENG, Yilihamu·YAERMAIMAITI, Lirong XIE, Xiyu LI, Ying MA

“…It enhances multi-scale feature fusion capability via weighted feature fusion, significantly reducing parameter count while improving small target detection capability. …”
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Intelligent analysis algorithm for power engineering data based on improved BiLSTM by Yuanyuan Xu, Jiapeng Yang, Xin Cai

“…The improved BiLSTM power engineering data analysis algorithm significantly improves the accuracy and robustness of tasks such as power load forecasting and equipment fault diagnosis by introducing self attention mechanism and multi-dimensional feature fusion. …”
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AI-Powered Forecasting of Environmental Impacts and Construction Costs to Enhance Project Management in Highway Projects by Joon-Soo Kim

“…The accurate early-stage estimation of environmental load (EL) and construction cost (CC) in road infrastructure projects remains a significant challenge, constrained by limited data and the complexity of construction activities. …”
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Building electrical consumption patterns forecasting based on a novel hybrid deep learning model by Nasser Shahsavari-Pour, Azim Heydari, Farshid Keynia, Afef Fekih, Aylar Shahsavari-Pour

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Fastest Fish Shapes and Optimal Supercavitating and Hypersonic Bodies of Revolution by Igor Nesteruk

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A Novel Recursive Methodology for Power Flow Analysis Based on the Holomorphic Embedding Method Using the Total Multiplication of Polynomials by Glaucus R. S. Lima, Edimar J. Oliveira, Leonardo W. Oliveira, Igor D. Melo

“…Due to a significantly reduced computational time for higher-order term calculations, the proposed method is well suited for real-time applications, including ill-conditioned and overloaded power networks. This feature enables an accurate calculation of the maximum loadability point in the context of voltage stability assessment, allowing the determination of the exact solution even in cases where the traditional Newton-Raphson load flow fails to converge.…”
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Clinical value of HIV-1 matched detection in patients’ blood and cerebrospinal fluid by E. V. Stepanova, O. N. Leonova, A. S. Shelomov, N. V. Fomenkova, N. E. Dementyeva, N. A. Belyakov

“…A comparative investigation has been applied to 100 HIV infected patients with CD4 lymphocytes rate <350 cells/microliter, demanding HAART prescription, divided into two groups: 1 – without clinical features of CNS damage (54 people) and 2 – with features of CNS damage of various etiology (46 people). …”
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Justification of calculation schemes choice for metalware segments of bridge crane trolleys based on multipurpose layout drawing configurations by Goncharov K.A., Denisov I.A.

“…The article proposes the analysis of the deformation mode of the standard load trolley metalware based on the multipurpose layout drawing when various loading cases occur. …”
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Monthly Contract Electricity Compilation Method Based on Wind Farm Operation Characteristics by Gaohang ZHANG, Fengting LI

“…On the basis of the rolling correction of the monthly decomposition values of the annual contract electricity quantity, the wind farm operating characteristic indices are established with consideration of the prediction error, output volatility and load-following features of wind power. Considering the constraint range of wind farms' load rates, the monthly contract electricity quantity of each wind farm is worked out. …”
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Computational analysis of curved prestressed concrete box-girder bridges using finite element method by Shubhi Ojha, Priyaranjan Pal, P. K. Mehta

“…A comprehensive evaluation was conducted to investigate the influence of changes in curve angles, span lengths, cell numbers, and span–depth ratios on structural forces and deflections under various load types, including dead, live, and prestressed loads. …”
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A temporal and spatial electric vehicle charging optimization scheme with DSO-EVA coordination framework by Tingting Xiao, Yonggang Peng, Chunyu Chen

“…Second, the temporal-spatial features of EVs are exploited by EVA to track the charging schedule. …”
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Optimizing concrete crack detection an echo state network approach with improved fish migration optimization by Zhichun Fang, Xiuhong Wang, Jiaojiao Gao, Behrooz Eskandarpour

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Lightweight CNN-Based Visual Perception Method for Assessing Local Environment Complexity of Unmanned Surface Vehicle by Tulin Li, Xiufeng Zhang, Yingbo Huang, Chunxi Yang

“…This method employs a multi-feature input CNN with residual learning blocks, which takes both the current local environmental images and heading angle features as inputs to identify the complexity of the local environment with higher accuracy and a smaller load size. …”
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