Graph-based analysis of histopathological images for lung cancer classification using GLCM features and enhanced graph by Imam Dad, JianFeng He, Zulqarnain Baloch

“…This study advances computational pathology by unifying Graph Neural Networks (GNN) with interpretable feature engineering, offering a scalable, efficient solution for cancer subtype classification. …”
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Instructional design guidelines for virtual reality-based teacher training: A meta-analysis by Yuanyuan Li, Chengliang Wang, Xiaoqing Gu

“…Recently, there has been a growing interest in the potential of virtual reality-based teacher training (VRBTT). Despite this surge, the impact of VRBTT on teacher training outcomes remains unclear and cannot be generalized from generic VR-based training approaches. …”
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Application of Motion Video Analysis System Based on SISA Neural Network in Sports Training by Shishun Ge, Chunhong Zhu

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Fault Diagnosis of High-speed Train Rolling Bearings Based on EWT-SVD Method by Tao WANG, Bing ZHANG, Qi SUN

“…Aiming at the difficulty in extracting early fault features of high-speed train gearbox rolling bearings, bearings fault diagnosis method based on empirical wavelet transform (EWT) and singular value decomposition (SVD) was proposed. …”
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Educational-researching and Information Resources In Interdisciplinary Automated Training System Based On Internet Technology by T. V. Savitskaya, A. F. Egorov, A. A. Gluhanova, S. A. Nikitin, A. Y. Zakharova

“…Have considered scientific-practical and methodological experience in the development, implementation and use of the interdisciplinary automated training system based on the Moodle system in the educational process. …”
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A virtual rail train path recognition method based on binocular stereo vision by ZENG Junwei, GENG Li, LU Chenyang, REN Lihui

“…This paper presents a path recognition method based on binocular stereo vision for virtual rail train, to overcome the limitations of monocular vision and improve the path perception ability of virtual rail train. …”
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Modular Design of Professional Training Programs for Special Education Teachers: Criteria-Based Approach by Tatyana S. Nikandrova, Elena S. Tusheva, Ksenia B. Vovnenko

Detection Algorithm for Air Duct Clamp on Trains Based on RSA-YOLOv10n by WANG Dairong, ZHAO Yuhong, QU Xiaozhang, LIU Yi

“…To address challenges in the detection of air duct clamps due to factors such as dim environments and small objects in train detection, such as insufficient detection accuracy and low detection efficiency, this paper proposes a RSA-YOLOv10n-based detection algorithm, developed utilizing a dataset of air duct clamps collected from trains. …”
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Behavior Anomaly Detection Based on Multi-modal Feature Fusion and Its Application in English Teaching by Lei Kan, Man Wang

“…In order to improve the teaching quality, this paper proposes a multi-modal feature fusion-based abnormal behavior detection method, aiming at the problems of false detection, missing detection and imbalance of positive and negative samples in the abnormal behavior detection of students in class. …”
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Robust outdoor trajectory mapping using CNN features and loop closure optimization by Kamran Kazi, Arbab Nighat Kalhoro, Farida Memon, Tarique Rafique Memon, Azam Rafique Memon

“…This paper introduces a robust framework for outdoor trajectory mapping that synergizes deep learning-based feature extraction with loop closure detection and optimization to address these limitations. …”
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Unsupervised Video Anomaly Detection Using Video Vision Transformer and Adversarial Training by Shimpei Kobayashi, Akiyoshi Hizukuri, Ryohei Nakayama

“…The generator and U-Net-based discriminator in the proposed network are trained through adversarial training. …”
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Image data-driven intelligent recognition of permafrost strength and feature visualization based analysis by Zhaoming YAO, Xun WANG, Hang WEI, Xiaolong WANG

“…A convolutional neural network-based image data-driven intelligent recognition method for frozen soil strength is proposed. …”
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Design and application of a music recommendation system based on user behavior and feature recognition by Ji Lu, Minjun Wu

“…To address these issues, we propose a music recommendation system based on user behavior and feature recognition, leveraging deep learning for training user data. …”
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Tree-Based Algorithms and Incremental Feature Optimization for Fault Detection and Diagnosis in Photovoltaic Systems by Khaled Chahine

“…An ensemble of six tree-based classifiers, including decision trees, random forest, Stochastic Gradient Boosting, LightGBM, CatBoost, and Extra Trees, is trained in both phases. …”
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Dropout Prediction Model for College Students in MOOCs Based on Weighted Multi-feature and SVM by Zhang Yujiao, Ang Ling Weay, Shi Shaomin, Sellappan Palaniappan

“…This innovative model assigns different weights to different behavior features based on Pearson principle and integrates them as data inputs to the model. …”
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AI-based tool wear prediction with feature selection from sound signal analysis by Viet Q. Vu, Tien-Ninh Bui, Minh-Quang Tran

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Imbalanced feature generation based on bootstrap power spectral curve for estimating respiratory rate by Soojeong Lee, Gyanendra Prasad Joshi, Gangseong Lee

“…Therefore, we introduce a novel methodology combining bootstrap-based imbalanced feature generation (BIFG) with the Gaussian process for estimating RR and uncertainty, thereby addressing data imbalance. …”
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Short-Term Photovoltaic Power Combined Prediction Based on Feature Screening and Weight Optimization by Liqing Geng, Yadong Yang, Genghuang Yang, Yongfeng Zheng, Xiaocong Liu

“…Aiming at the problem of low prediction accuracy caused by the intermittent and fluctuating characteristics of photovoltaic power, a short-term photovoltaic power combined prediction method based on feature screening and weight optimization is proposed. …”
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Tool wear prediction based on XGBoost feature selection combined with PSO-BP network by Zhangwen Lin, Yankun Fan, Jinling Tan, Zhen Li, Peng Yang, Hua Wang, Weiwei Duan

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Prediction of cardiovascular disease based on multiple feature selection and improved PSO-XGBoost model by Kerang Cao, Chang Liu, Siqi Yang, Yuxin Zhang, Lili Li, Hoekyung Jung, Shuo Zhang

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