DTNLS: 3D Point Cloud Segmentation Based on 2D Image and 3D Point Cloud Double Texture Feature by Zhiguang Liu, Xiaoxiao Yan, Jiahui Zhao, Yong Shi, Fei Yu, Jian Zhao

Get full text

Feature Extraction and Attribute Recognition of Aerosol Particles from In Situ Light-Scattering Measurements Based on EMD-ICA Combined LSTM Model by Heng Zhao, Yanyan Zhang, Dengxin Hua, Jiamin Fang, Jie Zhang, Zewen Yang

“…Therefore, we propose a feature extraction and attribute recognition method from in situ light-scattering measurements based on Bayesian Optimization, wavelet scattering transform, and long short-term memory neural network (BO-WST-LSTM), with empirical mode decomposition (EMD) and independent component analysis (ICA) algorithm for signal preprocessing. …”
Get full text

A Novel Hybrid Technique for Detecting and Classifying Hyperspectral Images of Tomato Fungal Diseases Based on Deep Feature Extraction and Manhattan Distance by Guifu Ma, Seyed Mohamad Javidan, Yiannis Ampatzidis, Zhao Zhang

“…The few-shot learning approach achieved high detection accuracies of 85.73%, 80.05%, 90.33%, and 82.09% for <i>A. alternata</i>, <i>A. solani</i>, <i>B. cinerea</i>, and <i>F. oxysporum</i>, respectively, based on data collected on Day 7 post inoculation using only three training images per class. …”
Get full text

MUF-Net: A Novel Self-Attention Based Dual-Task Learning Approach for Automatic Left Ventricle Segmentation in Echocardiography by Juan Lyu, Jinpeng Meng, Yu Zhang, Sai Ho Ling

“…These two tasks are then jointly trained using a temporal consistency mechanism to extract spatio-temporal features across frames. …”
Get full text

A Machine Learning Based Framework for a Stage-Wise Classification of Date Palm White Scale Disease by Abdelaaziz Hessane, Ahmed El Youssefi, Yousef Farhaoui, Badraddine Aghoutane, Fatima Amounas

“…For this purpose, we propose a feature extraction and machine learning (ML) technique based framework for classifying the stages of infestation by white scale disease (WSD) in date palm trees by investigating their leaflets images. 80 gray level co-occurrence matrix (GLCM) texture features and 9 hue, saturation, and value (HSV) color moments features are extracted from both grayscale and color images of the used dataset. …”
Get full text

Enhancing Children's Competence in Religious Roles: The Development of Imams, Khatibs, and Preachers in Jorong Baduih, Tanah Datar by Fadhilatul Khaira, Arina Ilfa Rusyda, Asrianti Resita Sari, Azra Sastya Johanda, Rania Amallya, Khalis Alfarizi, Nofrita Agustia, Siti Yohana, Nafa Dwi Apriliani, Irvan Putra Pratama, Zalnofri Zalnofri, Imam Maulana, Afdhal Afdhal

Get full text

Research on the Automatic Multi-Label Classification of Flight Instructor Comments Based on Transformer and Graph Neural Networks by Zejian Liang, Yunxiang Zhao, Mengyuan Wang, Hong Huang, Haiwen Xu

“…Traditional written evaluations conducted by flight instructors are often marred by subjectivity and inefficiency, rendering them inadequate to satisfy the stringent demands of Competency-Based Training and Assessment (CBTA) frameworks. …”
Get full text

New State Identification Method for Rotating Machinery under Variable Load Conditions Based on Hybrid Entropy Features and Joint Distribution Adaptation by Xiaoming Xue, Nan Zhang, Suqun Cao, Wei Jiang, Jianzhong Zhou, Liyan Liu

“…However, when dealing with this kind of issue, traditional fault diagnosis methods based on the assumption of the distribution coherence of the training and testing set are no longer applicable. …”
Get full text

Research on YOLOv5 Oracle Recognition Algorithm Based on Multi-Module Fusion by Xinhang Zhang, Zhenhua Ma, Yaru Zhang, Huiying Ru

“…BiFPN-SDI enables more precise feature fusion and attention mechanisms, improving the detection of small targets. …”
Get full text

An interactive address matching method based on a graph attention mechanism by Ming Li, Jialin Su, Zhiyu Song, Juping Qiu, Yongping Lin

“…In the IAMGAM, an attention-based feature interaction method (AFIM) is employed. …”
Get full text

FFA-YOLOv7: Improved YOLOv7 Based on Feature Fusion and Attention Mechanism for Wearing Violation Detection in Substation Construction Safety by Rong Chang, Bingzhen Zhang, Qianxin Zhu, Shan Zhao, Kai Yan, Yang Yang

Get full text

YOLOv8-SDC: An Improved YOLOv8n-Seg-Based Method for Grafting Feature Detection and Segmentation in Melon Rootstock Seedlings by Lixia Li, Kejian Gong, Zhihao Wang, Tingna Pan, Kai Jiang

“…The feasibility of the proposed method was further validated through grafting features, such as cotyledon deflection angles and stem–cotyledon separation points. …”
Get full text

Adaptive Neurofeedback Training Using a Virtual Reality Game Enhances Motor Imagery Performance in Brain&#x2013;Computer Interfaces by Kun Wang, Yuwei Liu, Feifan Tian, Weibo Yi, Yang Zhang, Tzyy-Ping Jung, Minpeng Xu, Dong Ming

“…Therefore, we proposed an adaptive NFT based on a VR game that simulates real-life motor tasks to improve training efficiency. …”
Get full text

A radiomics-based interpretable model integrating delayed-phase CT and clinical features for predicting the pathological grade of appendiceal pseudomyxoma peritonei by Dong Bai, Guanjun Shi, Yuanzi Liang, Fang Li, Zhuozhao Zheng, Zhiqun Wang

Get full text

MCT-CNN-LSTM: A Driver Behavior Wireless Perception Method Based on an Improved Multi-Scale Domain-Adversarial Neural Network by Kaiyu Chen, Yue Diao, Yucheng Wang, Xiafeng Zhang, Yannian Zhou, Minming Gu, Bo Zhang, Bin Hu, Meng Li, Wei Li, Shaoxi Wang

“…In the final step, domain-adversarial training is applied to extract common features from both the source and target domains, which helps reduce the domain shift. …”
Get full text

Research on Improved YOLO11 for Detecting Small Targets in Sonar Images Based on Data Enhancement by Xiaochuan Wang, Zhiqiang Zhang, Xiaodong Shang

“…To address this, we introduce SFE-YOLO, an improved model based on YOLOv11. We replace the original detection head with an FSAFFHead module that enables adaptive spatial feature fusion. …”
Get full text

A clustering-based approach for classifying data streams using graph matching by Yuxin Du, Mingshu He, Xiaojuan Wang

“…This allows for associating clusters in the test network with clusters in the initial network, enabling the labeling of test clusters based on associated clusters in the training set. …”
Get full text

PEMFC RUL Prediction for Non-Stationary Time Series Based on Crossformer Model by Ning Zhou, He Zeng, Zefei Zheng, Ke Wang, Jianxin Zhou

“…In this paper, we propose a PEMFC RUL prediction model based on the Crossformer for non-stationary time series (De-stationary-Crossformer). …”
Get full text

Deep learning based fine-grained recognition technology for basketball movements by Lin Zhang

“…The model recognition accuracy calculation time after dual stream fusion is reduced by about 50 %. The model based on 3D attention feature fusion module exhibits stronger robustness when the feature dimension changes. …”
Get full text

An End-to-End General Language Model (GLM)-4-Based Milling Cutter Fault Diagnosis Framework for Intelligent Manufacturing by Jigang He, Xuan Liu, Yuncong Lei, Ao Cao, Jie Xiong

“…Further robustness and noise-resistance analyses confirm its stability under varying SNR levels (10 dB to −10 dB) and limited training samples. This work highlights the potential of integrating domain-specific feature engineering with LLMs to advance intelligent manufacturing diagnostics.…”
Get full text