Suchergebnisse - "Feature Extraction"

基于射频指纹多分辨率特征融合的辐射源个体识别方法.

Alternate Title: Individual Radiation Source Recognition Based on Multi-resolution Fusion of Radio Frequency Fingerprints.

Autoren: 余江 陈川 贾勇 et al.

Quelle: Telecommunication Engineering. 11/28/2025, Vol. 65 Issue 11, p1844-1850. 7p.

Schlagwörter: CONVOLUTIONAL neural networks, FEATURE extraction, SIGNAL processing, TIME-frequency analysis, STATISTICAL accuracy

A novel unsupervised graph wavelet autoencoder for mechanical system fault detection.

Autoren: Li, Tianfu Sun, Chuang Yan, Ruqiang et al.

Quelle: Journal of Intelligent Manufacturing. Dec2025, Vol. 36 Issue 8, p5397-5414. 18p.

Schlagwörter: *MULTIVARIATE analysis, *INDUSTRIAL applications, FAULT diagnosis, FEATURE extraction, GRAPH neural networks, ENGINEERING systems, MATHEMATICAL regularization

A feature extraction method for intelligent chatter detection in the milling process.

Autoren: Jauhari, Khairul Rahman, Achmad Zaki Al Huda, Mahfudz et al.

Quelle: Journal of Intelligent Manufacturing. Oct2025, Vol. 36 Issue 7, p5113-5139. 27p.

Schlagwörter: *MATHEMATICAL optimization, *UNCERTAINTY (Information theory), FEATURE extraction, MILLING machinery, MACHINE learning, VIBRATION (Mechanics), SIGNAL processing

Distributionally robust scheduling for the two-stage hybrid flowshop with uncertain processing time.

Autoren: Pei, Zhi Dou, Rong Huang, Jiayan et al.

Quelle: European Journal of Operational Research. Oct2025, Vol. 326 Issue 2, p270-285. 16p.

Schlagwörter: *DISTRIBUTION (Probability theory), *LINEAR programming, FEATURE extraction, STOCHASTIC programming, ROBUST optimization

A hierarchical distillation network based on data-derived multi-domain feature pools in self-adaptive bearing fault diagnosis of smart customised manufacturing systems.

Autoren: Wang, Xiaojia Liang, Yusheng Pan, Pengfei et al.

Quelle: Journal of Engineering Design. Nov2025, p1-25. 25p. 13 Illustrations.

Schlagwörter: *ARTIFICIAL neural networks, *ADAPTIVE control systems, FAULT diagnosis, FEATURE extraction, DEEP learning, ADAPTIVE computing systems

Datetime Feature Recommendation by Word Embedding Methods Using Data Column Names.

Autoren: Masuda, Satoshi Takeda, Tomohiro

Quelle: International Journal of Software Engineering & Knowledge Engineering. Oct2025, Vol. 35 Issue 10, p1465-1484. 20p.

Schlagwörter: *NATURAL language processing, *DATA science, FEATURE extraction, KNOWLEDGE base, PREDICTION models

A Deep Learning Recognition Method for Students' Abnormal Behaviors in Smart Classroom Teaching Scenarios.

Autoren: Yajun, Wu¹ (AUTHOR) 1992014@ntnc.edu.cn

Quelle: International Journal of High Speed Electronics & Systems. Dec2025, Vol. 34 Issue 4, p1-21. 21p.

Schlagwörter: FEATURE extraction, PSYCHOLOGY of students, ACQUISITION of data, DATA quality, CLASSROOMS

Tennis Player Pose Recognition Algorithm Based on IMU Sensor and KNN.

Autoren: Chen, Yongming¹ (AUTHOR) songhe6662024@163.com

Quelle: International Journal of High Speed Electronics & Systems. Dec2025, Vol. 34 Issue 4, p1-26. 26p.

Schlagwörter: FEATURE extraction, K-nearest neighbor classification, TENNIS players, KALMAN filtering, UNITS of measurement

An Occluded Target Tracking Method for Tennis Sports Video Based on an Attentional Mechanism to Maximize Overlap.

Autoren: Chen, Yongming¹ (AUTHOR) songhe6662024@163.com

Quelle: International Journal of High Speed Electronics & Systems. Dec2025, Vol. 34 Issue 4, p1-26. 26p.

Schlagwörter: SUPPORT vector machines, FEATURE extraction, VECTOR data, SPORTS films, MULTIPLE target tracking, TENNIS, TRACKING radar

Towards accurate diagnosis: exploring knowledge distillation and self-attention in multimodal medical image fusion.

Autoren: P, Radhika J, Sofia Bobby Francis, Sheeja V. et al.

Quelle: Journal of Experimental & Theoretical Artificial Intelligence. Nov2025, Vol. 37 Issue 8, p1391-1420. 30p.

Schlagwörter: *DIAGNOSTIC services, IMAGE fusion, FEATURE extraction, KNOWLEDGE transfer

Stream of variation modeling and monitoring for heterogeneous profiles in multi-stage manufacturing processes.

Autoren: Liu, Peiyao Ma, Yujie Zhang, Chen

Quelle: IISE Transactions. Nov2025, Vol. 57 Issue 11, p1263-1276. 14p.

Schlagwörter: *MANUFACTURING processes, *SUPERVISION, *ONLINE monitoring systems, FEATURE extraction, MAXIMUM likelihood statistics, LATENT variables

Enhanced Face Sketch Synthesis Through a Multistage GAN Framework with Hierarchical Discriminators and MobileNet Feature Extraction.

Autoren: Latha, Buddannagari Velmurugan, A. K.

Quelle: International Journal of Image & Graphics. Nov2025, p1. 32p.

Schlagwörter: GENERATIVE adversarial networks, FEATURE extraction, HUMAN facial recognition software, COMPUTER vision

FAHNet: Accurate and Robust Normal Estimation for Point Clouds via Frequency‐Aware Hierarchical Geometry.

Autoren: Wang, Chengwei Wu, Wenming Fei, Yue et al.

Quelle: Computer Graphics Forum. Oct2025, Vol. 44 Issue 7, p1-11. 11p.

Schlagwörter: *ARTIFICIAL neural networks, POINT cloud, FEATURE extraction, MACHINE learning, SURFACE reconstruction, COMPUTATIONAL geometry, THREE-dimensional imaging

AN Advanced AI Approach-Based Skin Disease Prediction System Utilizing EN-QNN and Grad-CAM in IoMT Environment.

Autoren: Kadiyala, Bhavya Alavilli, Sunil Kumar Nippatla, Rajani Priya et al.

Quelle: International Journal of Pattern Recognition & Artificial Intelligence. Oct2025, Vol. 39 Issue 13, p1-30. 30p.

Schlagwörter: *ARTIFICIAL intelligence, INTERNET of medical things, FEATURE extraction, EXTREME weather, ANALYSIS of colors

MVFE‐MC: Multi‐View Feature Extraction and Multimodal Classifier for Concrete Defect Image Classification.

Autoren: Chu, Xueqian Wang, Ying Mao, Yanxu et al.

Quelle: Expert Systems. Dec2025, Vol. 42 Issue 12, p1-19. 19p.

Schlagwörter: DEEP learning, FEATURE extraction, QUALITY control of concrete, DATA quality, CLASSIFICATION, MACHINE learning

Multimodal Coupling Prompt Learning for Image Classification Tasks.

Autoren: Liu, Yufei Cheng, Hua Fang, Yiquan et al.

Quelle: AI Communications. Nov2025, Vol. 38 Issue 4, p684-706. 23p.

Schlagwörter: IMAGE recognition (Computer vision), FEATURE extraction, MACHINE learning, MULTIMODAL user interfaces

Gating Attention Convolutional Model Based on Long/Short-Range Features and its Application in Intelligent Livestock Farming.

Autoren: Yang, Yadong Yang, Kang She, Deyong et al.

Quelle: International Journal of Pattern Recognition & Artificial Intelligence. Nov2025, p1. 28p. 12 Illustrations.

Schlagwörter: IMAGE recognition (Computer vision), FEATURE extraction, DEEP learning, LIVESTOCK farms, ATTENTION

Disentangled Representation and Contrastive Learning with Adaptive Affinity Squeeze-Excitation for Multimodal Emotion Recognition.

Autoren: Wang, Jhing-Fa Tsai, Hsin-Chun Liu, Jie-Ming

Quelle: International Journal of Pattern Recognition & Artificial Intelligence. Nov2025, p1. 20p. 2 Illustrations.

Schlagwörter: EMOTION recognition, FEATURE extraction

GCFL: Gray-Modality Conversion and Feature Learning for Visible-Infrared Person Re-Identification.

Autoren: Huan, Ruohong Zhao, Xin Wu, Mingzhen et al.

Quelle: International Journal of Pattern Recognition & Artificial Intelligence. Nov2025, p1. 29p. 10 Illustrations.

Schlagwörter: FEATURE extraction, NOISE, IMAGE registration, IMAGE processing

Supervised Predictive Modeling of High-dimensional Data with Group l0 -norm Constrained Neural Networks.

Autoren: Yang, Zhihuang Siming, Zheng Tang, Niansheng

Quelle: Journal of Computational & Graphical Statistics. Oct2025, p1-25. 25p. 3 Illustrations.

Schlagwörter: *ARTIFICIAL neural networks, *MULTIVARIATE analysis, *NONPARAMETRIC statistics, FEATURE extraction, FEATURE selection, PREDICTION models, SUPERVISED learning