Research on Novel Bearing Fault Diagnosis Method Based on Improved Krill Herd Algorithm and Kernel Extreme Learning Machine by Zhijian Wang, Likang Zheng, Junyuan Wang, Wenhua Du

“…Firstly, multiscale dispersion entropy (MDE) is used to extract fault features of bearings to obtain a set of fault feature vectors composed of dispersion entropy. …”
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CoDAC: Autonomous Obstacle Avoidance Optimization for Unmanned Surface Vehicle Clusters via Multi-Modal Dynamic Perception and Collaborative Community Detection by Youhong Li, Jiawei Ye, Le Gao, Min Cai

“…Second, an incremental dynamic community detection mechanism achieves adaptive task group partitioning for clusters, substantially reducing communication loads and computational complexity while ensuring high-efficiency collaboration at scale. …”
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YConvFormer: A Lightweight and Robust Transformer for Gearbox Fault Diagnosis with Time–Frequency Fusion by Yihang Peng, Jianjie Zhang, Songpeng Liu, Mingyang Zhang, Yichen Guo

“…Finally, the YConvFormer lightweight architecture is proposed, which combines shallow feature processing with global–local modeling, significantly reducing computational load. …”
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Delay reduction and interference mitigation by resource management for IAB networks by Chourouk Ghodhbane, Patrick Savelli, Cedric Gueguen, Xavier Lagrange

“…The evaluation is performed through discrete-event simulations under two types of traffic and varying network loads. The simulation results underline that our semi-centralized resource management policy effectively controls interference, leading to improved network Key Performance indicators (KPIs) like system throughput and end-to-end delay. …”
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Development of technologies and tools for drilling additional wells from artificial bottom-hole with whipstock of continuous action in hard and very hard rocks by V. V. Neskoromnykh, D. V. Lysacov

“…The main factors decreasing the whipstock efficiency were found to be the mechanism of buildup rate, and the different strength of the rock and artificial bottom-hole. A feature of the work of a milling type whipstocks is that the creation of a deflecting force is carried out due to the constant influence of the axial load, the value of which proportionally affects the speed of drilling. …”
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Enhancing deep convolutional neural network models for orange quality classification using MobileNetV2 and data augmentation techniques by Phan Thi Huong, Lam Thanh Hien, Nguyen Minh Son, Huynh Cao Tuan, Thanh Q. Nguyen

“…Key techniques such as depthwise separable convolutions, linear bottlenecks, and inverted residuals help reduce the number of parameters and computational load while maintaining high performance in feature extraction. …”
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Leveraging Deep Learning for Robust Structural Damage Detection and Classification: A Transfer Learning Approach via CNN by Burak Duran, Saeed Eftekhar Azam, Masoud Sanayei

“…Different levels of damage states were introduced at the midspans of these models, and Gaussian-based load time histories were applied at mid-span for dynamic time-history analysis to calculate acceleration data. …”
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The Research on Diagnosis Technology of High-speed Train Power Chain Based on Electrical Signal by Jianghua FENG

“…Then, based on the theory of multi-feature fusion and machine learning, a new electrical signal diagnosis method was proposed. …”
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EAD-YOLOv10: Lightweight Steel Surface Defect Detection Algorithm Research Based on YOLOv10 Improvement by Hu Haoyan, Tong Jinwu, Wang Haibin, Lu Xinyun

“…Finally, the designed C2f_EMSCP method is integrated into the backbone and neck networks, effectively merging multi-scale convolutional networks and position-aware modules to enhance the model’s sensitivity and detection capability for multi-scale targets by fusing feature maps of different scales. The experimental results show that the improved EAD-YOLOv10 network model achieves an average precision of 94.2% for detecting six types of defects in the NEU-DET dataset, which is an improvement of 7.6% over the baseline model, with a 9.75% reduction in model size and a 12.5% decrease in computational load, outperforming other mainstream object detection algorithms and meeting the requirements for SD detection in industrial production. …”
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Experimental and analytical study on axial behaviour of square corrugated concrete filled single and double skin tube stub columns by Aya Mohsen Handousa, Mohamed Abdellatief, Fikry Abdo Salem, Nabil Mahmoud, Mohamed Ghannam

“…The findings indicated that incorporating internal corrugated plates notably improved both the load-carrying capacity and ductility of the specimens. …”
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Leveraging Deep Learning and Internet of Things for Dynamic Construction Site Risk Management by Li-Wei Lung, Yu-Ren Wang, Yung-Sung Chen

“…Robust feature extraction is performed using convolutional neural networks (CNNs) and a fully connected approach for neural network training. …”
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Cloud-Edge Collaborative Defect Detection Based on Efficient Yolo Networks and Incremental Learning by Zhenwu Lei, Yue Zhang, Jing Wang, Meng Zhou

“…Through the incorporation of these modules, the model notably enhances feature extraction and computational efficiency while reducing the model size and computational load, making it more conducive for deployment on edge devices. …”
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Analysis of the pooled effect of compression ratio and injection timing variation on conventional diesel engine powered with nano doped biodiesel blend by Chinmoy Jit Sarma, Bhaskar Jyoti Medhi, Bhaskor Jyoti Bora, Dilip K. Bora, P. V. Elumalai, Krupakaran Radhakrishnan Lawrence, Debabrata Barik, Ravikumar Ramegowda, Kiran Kavalli, Manzoore Elahi M. Soudagar, Mesay Dejene Altaye

“…In this study, compression ratio is varied from 17.5 to 18, whereas fuel injection timing of 20°, 23°, and 25° BTDCs along with engine load variation of 20%, 40%, 60%, 80%, and 100% are considered. …”
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Fault Prediction and Reconfiguration Optimization in Smart Grids: AI-Driven Approach by David Carrascal, Paula Bartolomé, Elisa Rojas, Diego Lopez-Pajares, Nicolas Manso, Javier Diaz-Fuentes

“…A key task in SG management is fault detection and subsequently, network reconfiguration to minimize power losses and balance loads. This process should minimize power losses while optimizing distribution by balancing loads across the grid. …”
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Real-Time Series Arc Fault Detection and Appliances Classification in AC Networks Based on Competing Convolutional Kernels by Francesco Ferracuti, Riccardo Felicetti, Luca Cavanini, Patrick Schweitzer, Andrea Monteriu

“…To reduce inference time and optimize the algorithm for embedded control units, a feature reduction strategy is employed. The effectiveness of the proposed method is demonstrated through experimental tests conducted under both arcing and non-arcing conditions and across different load types. …”
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Force Measurement Technology of Vision‐Based Tactile Sensor by Bin Fang, Jie Zhao, Nailong Liu, Yuhao Sun, Shixin Zhang, Fuchun Sun, Jianhua Shan, Yiyong Yang

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ONE TYPICAL EXTREMUM IN ELECTRICAL PROBLEMS by V. I. Goroshko, T. E. Shukovskaya

“…According to algorithm, the optimal efficiency of transformer’s load and also equation for its maximum was determined in this article. …”
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Experimental studies of the impact of fluid sloshing in the tank on the dynamic characteristics of the “wing model – fuel tank” system by G. B. Vardanyan, A. S. Kochetov, Y. V. Petrov

“…Flexible response of the airframe structural elements under operational loads are one of the main sources of fatigue damage accumulation. …”
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CLSTM-MT (a Combination of 2-Conv CNN and BiLSTM Under the Mean Teacher Collaborative Learning Framework): Encryption Traffic Classification Based on CLSTM (a Combination of 2-Conv... by Xiaozong Qiu, Guohua Yan, Lihua Yin

“…This study addresses three key challenges: First, existing methods fail to explore the potential relationship between flow load features and sequence features during feature extraction. …”
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Low content of modified-SCF in waterborne epoxy: mechanical properties and interfacial microstructure by Afagh Panahi Moghadam, Kourosh Shirvani

“…In addition, the results showed that with the same load cell in bending test, WEP containing silanized-SCF did not break at all after applying the load. …”
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