Added wave resistance prediction and comparative study based on point cloud feature extraction by Mingfeng WU, Renchuan ZHU, Dekang XU

“…ObjectiveIn order to rapidly forecast added wave resistance in the ship design stage, this paper proposes a neural network based on point cloud feature extraction. MethodsTaking the Series 60 as an example, the corresponding added wave resistance prediction model is set up and compared with the traditional model based on the principal design parameters. …”
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Precise Recognition and Feature Depth Analysis of Tennis Training Actions Based on Multimodal Data Integration and Key Action Classification by Weichao Yang

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The features of functional state of masters athletes in training and competitive activities by O. Ye. Dorofieieva, K. S. Yarymbash

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Features of the new YAK-152 flight-training aircraft performance by M. A. Kiselev, S. V. Levitsky, D. V. Moroshkin, V. A. Podobebov

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MLCRP: ML-Based GPU Cache Performance Modeling Featured With Reuse Profiles by Minjung Cho, Eui-Young Chung

“…In the training stage, a regression-based ML model is trained to capture the relationship between RP features, cache configurations, and performance metrics such as miss rate and miss status holding register (MSHR) merge rate. …”
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MVB Fault Diagnosis Based on Waveform Feature Extraction and FA-Grid SVM by Xiaomin DU, Lide WANG, Zhaozhao LI, Hui SONG

“…A fault diagnosis method based on waveform feature extraction and FA-Grid SVM for multi-function vehicle bus(MVB) was proposed. …”
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Acoustic fault diagnosis of traction motor bearing based on fusion feature by YANG Gang, WEI Yuqian, LI Fu

“…Secondly, the acoustic signal fusion feature map based on GAF was established. Then, the residual networks (ResNETs) model was used to train and verify the fault classification model for the features of the fusion feature map, and the accuracy was compared with the fault classification method with a single feature map as the feature. …”
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Features of the calculation of the plan of forming single-group trains in market conditions by V. Ya. Hegrey, K. M. Shkurin

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Fault Diagnosis of Train Bogie Bearing Based on Multi-scale Sample Entropy Improved Extreme Learning Machine by JIN Zhenzhen, HE Deqiang, MIAO Jian, XU Weichang

“…In view of above problems, a fault diagnosis method of train bogie bearing based on multi-scale sample entropy improved extreme learning machine is proposed. …”
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Superpixel guided spectral-spatial feature extraction and weighted feature fusion for hyperspectral image classification with limited training samples by Yao Li, Liyi Zhang, Lei Chen, Yunpeng Ma

“…Secondly, we design a pixel-based CNN and a two-scale superpixel-based GCN classification framework for weighted feature fusion. …”
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Image Classification and Annotation Based on Hadoop Cloud Computing Platform by Jiyuan Lu, Chenghui Huang, Fang Hou, Bin Li

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Adversarial Threats to Cloud IDS: Robust Defense With Adversarial Training and Feature Selection by Hariprasad Holla, Shashidhar Reddy Polepalli, Arun Ambika Sasikumar

“…To mitigate these vulnerabilities, we explicitly propose a dual-layered defense strategy: (i) adversarial training, explicitly incorporating adversarial examples into model training to improve robustness, and (ii) SHAP-based robust feature selection, explicitly enhancing interpretability and resilience by identifying stable, attack-resistant features. …”
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Efficient Multi-Task Training with Adaptive Feature Alignment for Universal Image Segmentation by Yipeng Qu, Joohee Kim

“…The learnable task token automatically captures inter-task differences from both image features and text queries during training, providing a more effective and efficient solution than a predefined text-based token. …”
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FEATURES OF THE FOREIGN LANGUAGES TEACHERS AND LECTURERS TRAINING IN US HIGHER EDUCATION INSTITUTIONS by Zinukova Nataliia, Korobeinikova Tetiana, Perevorska Olena

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A twin CNN-based framework for optimized rice leaf disease classification with feature fusion by Prameetha Pai, S. Amutha, Mustafa Basthikodi, B. M. Ahamed Shafeeq, K. M. Chaitra, Ananth Prabhu Gurpur

“…The framework integrates an optimized feature fusion algorithm using pre-trained CNN models to improve disease detection accuracy. …”
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An Intelligent Smart Dynamic Feature Analysis Based Approach by Utilizing Deep Learning to Improve the Breast Cancer Detection by Seong-O Shim, Lal Hussain, Eesa Alsolami, Monagi H. Alkinani

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Research on axle-box bearing fault feature extraction algorithm based on simulation test and BOA-VMD by ZHANG Dongxing, YANG Gang, ZHOU Ao, QIN Limu, WEI Yuqian, YAN Lei

“…Aiming at the problem that axle-box bearing faults are difficult to find during the operation of urban rail trains, a bearing fault feature extraction based on variational mode decomposition (VMD) parameter optimization using butterfly optimization algorithm (BOA) was proposed. …”
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Research on Pantograph Defect Classification Based on Vibration Signals by Vytautas Gargasas, Kęstas Rimkus, Mindaugas Alekna, Andrius Knyš, Mindaugas Žilys, Algimantas Valinevičius

“…The contact surface between the pantograph and the catenary wire experiences mechanical and thermal effects during the train’s movement. Typically, this contact surface on the pantograph is covered by a segmented carbon or copper rod, attached to an aluminum base. …”
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Dual feature-based and example-based explanation methods by Andrei Konstantinov, Boris Kozlov, Stanislav Kirpichenko, Lev Utkin, Vladimir Muliukha

“…A dual linear surrogate model is trained on the dual dataset. The explanation feature importance values are computed by means of simple matrix calculations. …”
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Construction and Application of Feature Recommendation Model for Remote Sensing Interpretation of Rock Strata Based on Knowledge Graph by Liufeng Tao, Qirui Wu, Miao Tian, Zhong Xie, Jianguo Chen, Yueyu Wu, Qinjun Qiu

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