Virtual Reality (VR) Method to Improve Sense of Place for Interior Design Studio Students by Akhmadi Akhmadi, Athifa Sri Ismiranti, Hanif Azhar, Ahmad Nur Sheha

“…VR enables people to engage in various metaverse world experiences in a more immersive way. Immersive learning is a learning method that uses 3D digital technology to facilitate the learning process by visualization in the classroom. …”
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A Distribution Adaptive Feedback Training Method to Improve Human Motor Imagery Ability by Yukun Zhang, Chuncheng Zhang, Rui Jiang, Shuang Qiu, Huiguang He

“…Comparison experiments were conducted on three different feedback methods. …”
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An Igneous Rock Lithology Identification Method Based on Data-Algorithm Bidirectional-Driven Framework by HAN Ruiyi, SONG Xiaoni, WANG Xinru, GUO Yuhang

“…The proposed method achieved 100% accuracy in intra-well testing, 89% accuracy in inter-well testing, and a weighted F1 score of 0.88, which demonstrated significant improvements over existing igneous rock lithology identification methods. …”
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Lightweight underwater object detection method based on multi-scale edge information selection by Shaobin Cai, Xin Zhou, Wanchen Cai, Liansuo Wei, Yuchang Mo

“…Experimental results show that on the URPC dataset, the mAP of MAW-YOLOv11 reaches 81.4%, an improvement of 2.1% over YOLOv11, with a parameter count of 2.11M, a reduction of 0.47M compared to YOLOv11. Comparative experiments with other mainstream object detection algorithms validate the effectiveness and superiority of the proposed method.…”
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A Few-Shot Steel Surface Defect Generation Method Based on Diffusion Models by Hongjie Li, Yang Liu, Chuni Liu, Hongxuan Pang, Ke Xu

“…Experiments demonstrated that stableIDG achieved better image generation quality compared to existing methods, such as textual inversion. …”
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FAULT DIAGNOSIS METHOD OF SUBMERSIBLE SEWAGE PUMP BASED ON IMPROVED HOPFIELD NEURAL NETWORK by WANG Hui, LI NanQi, YANG ZhiPeng, ZHAO GuoChao, TIAN LiYong

“…In order to accurately diagnose the fault of submersible sewage pump, an improved Hopfield neural network（HNN） fault diagnosis method was proposed. BP neural network was used for coding operation to overcome the coding defects of HNN neural network. …”
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An Experimental Study of Fracture Parameters of Concrete Produced With Basalt Aggregate by Peak-Load Method by Senem Yilmaz Cetin, Tahir Azad Celik

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Research on Binary Mixed VOCs Gas Identification Method Based on Multi-Task Learning by Haixia Mei, Ruiming Yang, Jingyi Peng, Keyu Meng, Tao Wang, Lijie Wang

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Experimental Study on Glass Deformation Calculation Using the Holographic Interferometry Double-Exposure Method by Yucheng Li, Yang Zhang, Deyu Jia, Song Gao, Muqun Zhang

“…This approach (1) eliminates object wave amplitude interference via dual-exposure superposition, establishing submicron linear mapping between fringe displacement and deformation amplitude; (2) introduces a fringe gradient-based direction detection algorithm resolving deformation vector ambiguity; and (3) implements an error-compensated fusion framework integrating theoretical modeling, MATLAB 2015b simulations, and experimental validation. Experiments on drilled glass samples confirm their superior performance in terms of near-ideal fringe contrast (1.0) and noise suppression (0.06). …”
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Cross-device fault diagnosis method based on graph convolution and multi-sensor fusion by SUN Yuanshuai, KONG Fanqin, NIE Xiaoyin, XIE Gang

“…Migration experiments on two datasets show that the proposed CDGCN not only achieves the best performance among the compared methods, but also extracts transferable features for cross-device domain adaptation.…”
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Response Surface Method for Strength Analysis and Proportion Optimization of New Type Sealing Materials by Sheng Xue, Xin Guo, Chunshan Zheng, Yaobin Li, Xiaoliang Zheng

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An Energy Efficient, Robust, Sustainable, and Low Computational Cost Method for Mobile Malware Detection by Rohan Chopra, Saket Acharya, Umashankar Rawat, Roheet Bhatnagar

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Research on Microseismic Magnitude Prediction Method Based on Improved Residual Network and Transfer Learning by Huaixiu Wang, Haomiao Wang

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A deep learning-based data augmentation method for marine mammal call signals by Jiaming Jiang, Jiaming Jiang, Wanlu Cheng, Wanlu Cheng, Shengwen Gong, Shengwen Gong, Jingjing Wang, Jingjing Wang

“…To address this problem, we propose MarGEN, a deep learning-based augmentation method for marine mammal call signal data. This method processed the call data into Mel spectrograms, then designed a self-attention conditional generative adversarial network to generate new samples of Mel spectrograms that were highly similar to the real data, and finally reconstructed them into call signals using WaveGlow. …”
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Regularized extreme learning machine based on variable step alternating direction method of multipliers by LU Huihuang, ZOU Weidong, LI Yuxiang

“…To address the deficiency of slow convergence rate and stagnation of error decay during later iteration of alternating direction method of multipliers (ADMM) for regularized extreme learning machine (RELM), we propose a dynamic step size ADMM-based RELM algorithm denoted as VAR-ADMM-RELM. …”
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Heterogeneous Integrated III-V-on-SOI Photodetector Using Micro-transfer Printing Method by WANG Zhaocong, QUAN Zhiheng, ZHENG ShiGuanqing, ZHU Yan, YE Nan, LU Liangjun, ZHOU Linjie, SONG Yingxiong

“…The heterogeneous integration of the III-V APD sample and the GC on the SOI wafer is realized by the micro-transfer method. …”
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STGLR: A Spacecraft Anomaly Detection Method Based on Spatio-Temporal Graph Learning by Yi Lai, Ye Zhu, Li Li, Qing Lan, Yizheng Zuo

“…To validate the effectiveness of the proposed method, experiments were conducted on two public spacecraft datasets, and the results demonstrate that the performance of the STGLR method surpasses existing anomaly detection methods, with an average F1 score exceeding 0.97.…”
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DDoS-MSCT: A DDoS Attack Detection Method Based on Multiscale Convolution and Transformer by Bangli Wang, Yuxuan Jiang, You Liao, Zhen Li

“…Furthermore, with the increase in network depth, DDoS-MSCT facilitates the integration of multiscale local and global contextual information of traffic features, thereby improving detection performance. Our experiments are conducted on the CIC-DDoS2019 dataset, and also the CIC-IDS2017 dataset, which is introduced as a supplement to address the issue of sample imbalance. …”
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Research on underwater disease target detection method of inland waterway based on deep learning by Tao Yu, Yu Xie, Jinsong Luo, Wei Zhu, Jie Liu

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Quantification of human angiogenesis in immunodeficient mice using a photon counting-based method by Zhihong Dong, Kathleen G. Neiva, Taocong Jin, Zhaocheng Zhang, Daniel E. Hall, David J. Mooney, Peter J. Polverini, Jacques E. Nör

“…Testing new antiangiogenic drugs for cancer treatment requires the use of animal models, since stromal cells and extracellular matrices mediate signals to endothelial cells that cannot be fully reproduced in vitro. Most methods used for analysis of antiangiogenic drugs in vivo utilized histologic examination of tissue specimens, which often requires large sample sizes to obtain reliable quantitative data. …”
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