Miniaturized dual-band bandpass filter with closely spaced passbands and wide stopband by Yijun Li, Jinxuan Ni, Siyu Li, Qian Han, Jie Tian, Na Li, Tianye Ma

“…This work presents a new miniaturized dual-band bandpass filter (BPF) featuring closely spaced passbands and wide stopband performance. …”
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Compression behaviour of cold-rolled steel sections with web openings: a review by Kaminee Rathore, Ram Krishna Rathore, Mohan Kumar Gupta, S. K. Jaiswal

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Frequency Regulation of Interconnected Power System Using Black Widow Optimization by Preeti Dahiya, Akshay Kumar Saha

“…Further, the potency and robustness of the proposed tuned controller are also proven by considering large variation in load demand, real-time constraints namely generation rate constraint and governor dead band in the system. …”
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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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A BEARING DEEP LEARNING TRANSFER DIAGNOSIS METHOD BASED ON OPTIMIZATION OF SYMMETRIC POLAR COORDINATES by WU DingHai, WANG HuaiGuang, SONG Bin, ZHANG YunQiang

“…The bearing dataset of Case Western Reserve University which includes different rotational speeds and load is used to verify this method and a good recognition effect has been achieved.…”
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Improving Wind Turbine Gearbox Reliability: A Hybrid Deep Learning Approach Using Bispectrum Image Analysis by Muhammad Zacky Asy'Ari, Jun Kondoh, Benyamin Kusumoputro

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A siamese neural network model for phase identification in distribution networks by Dong Liu, Juan S. Giraldo, Peter Palensky, Pedro P. Vergara

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Enhancing Object Detection in Underground Mines: UCM-Net and Self-Supervised Pre-Training by Faguo Zhou, Junchao Zou, Rong Xue, Miao Yu, Xin Wang, Wenhui Xue, Shuyu Yao

“…Furthermore, a self-supervised pre-training method is introduced to generate mine-specific pre-trained weights, providing the model with more semantic features. We propose utilizing the combined backbone and neck portions of the detection model as the encoder of an image-masking pre-training structure to strengthen feature acquisition and improve the performance of small models in self-supervised learning. …”
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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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AI-driven diagnosis and health management of autonomous electric vehicle powertrains: An empirical data-driven approach by Hicham El hadraoui, Adila El maghraoui, Oussama Laayati, Erroumayssae Sabani, Mourad Zegrari, Ahmed Chebak

“…The findings highlight the potential of hybrid feature selection and ML optimization to enable real-time, high-fidelity health monitoring of intelligent EV powertrains.…”
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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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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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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 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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Fastest Fish Shapes and Optimal Supercavitating and Hypersonic Bodies of Revolution by Igor Nesteruk

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Machine Learning Approaches for Fault Detection in Internal Combustion Engines: A Review and Experimental Investigation by A. Srinivaas, N. R. Sakthivel, Binoy B. Nair

“…This paper concludes with a review of the progress in fault identification in ICE components and prospects, highlighted by an experimental investigation using 16 machine learning algorithms with seven feature selection techniques under three load conditions to detect faults in a four-cylinder ICE. …”
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Method for identifying error states of distribution network current transformers based on current imbalance weights by Tong Liu, Xiujuan Zeng, Huiqin Xie, Wei Wu, Jihong Xiao

“…By analyzing the fluctuation patterns of imbalance weight features, the proposed method accurately discriminates CT error states. …”
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