Search Results - "Data augmentation"

Load Forecasting and Optimization of District Heating System Based on GAN Data Augmentation and LSTM–Prophet †.

Authors: Zheng, Xuejing Yan, Shisong Wang, Yaran et al.

Source: Energies (19961073). Jun2026, Vol. 19 Issue 11, p2551. 26p.

Subject Terms: *Data augmentation, *Load forecasting (Electric power systems), *Cost functions, *K-means clustering, *Heating from central stations, *Particle swarm optimization, *Energy consumption

Geographic Terms: Tianjin (China)

基于 Noise-WGAN-GP 框架的信号辐射源个体样本增强与识别.

Alternate Title: Signal Individual Sample Augmentation and Specific Emitter Identification Based on Noise-WGAN-GP Framework.

Authors: 卢学民 周 玺

Source: Telecommunication Engineering. 6/28/2026, Vol. 66 Issue 6, p933-942. 10p.

基于样本生成策略的成品油管道混油浓度预测.

Alternate Title: Sample generation strategy-based method for predicting mixed oil concentration in multi-product pipeline.

Authors: 郑坚钦 杜 渐 吴梁红 et al.

Source: Journal of China University of Petroleum. Jun2026, Vol. 50 Issue 3, p217-226. 10p.

Optimizing Hate Speech Detection in Malayalam-English Code-Mixed Text: Handling Women's Abuse by Synthetic Data Augmentation.

Authors: LK, Dhanya Balakrishnan, Kannan

Source: Journal of Intelligent & Fuzzy Systems. Jul2026, Vol. 50 Issue 7, p2177-2202. 26p.

Model-Free Deep Hedging with Transaction Costs and Light and Augmented Data Methods.

Authors: Brugière, Pierre Turinici, Gabriel

Source: Journal of Derivatives. Summer2026, Vol. 33 Issue 4, p27-53. 27p.

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs.

Authors: Mo, Zhaobin Xiang, Haotian Di, Xuan

Source: Transportation Science (INFORMS). Jul/Aug2025, Vol. 59 Issue 4, p782-801. 20p.

An Integrated Prediction Framework for Engineered Cementitious Composite: EDFrame.

Authors: Chen, Pan Wang, Yufei Zhang, Xin et al.

Source: Materials (1996-1944). Jun2026, Vol. 19 Issue 12, p2465. 31p.

Subjects: Data augmentation, Convolutional neural networks, Strains & stresses (Mechanics), Shapley Additive Explanations, Cement composites, Machine learning

Electromechanical Impedance Data-Driven Metal Structural Tensile Stress Identification Using Generative Adversarial Networks.

Authors: Ai, Demi Zhang, Rui

Source: Materials (1996-1944). Jun2026, Vol. 19 Issue 12, p2445. 28p.

Subjects: Generative adversarial networks, Data augmentation, Piezoelectric transducers, Electromechanical impedance analysis, Tensile tests, Deep learning, Convolutional neural networks

EO2SAR-Diff: Structure-Aware Latent Diffusion for Unpaired EO-to-SAR Translation.

Authors: Kim, Yeon-Wook Kim, Kiyoung

Source: Remote Sensing. Jun2026, Vol. 18 Issue 12, p2037. 35p.

Subjects: Synthetic aperture radar, Data augmentation, Object recognition (Computer vision), Remote sensing, Image processing

An unbiased offensive text detection method based on BERT and sentiment analysis.

Authors: YUAN, Liang GUO, Weibi

Source: Computer Engineering & Science / Jisuanji Gongcheng yu Kexue. May2026, Vol. 48 Issue 5, p906-913. 8p.

Subjects: Sentiment analysis, Data augmentation, Long short-term memory, Discrimination (Sociology), Language models, Natural language processing

A fraud detection method based on enhanced graph contrastive learning.

Authors: GAO, Yihui LI, Yuanqing ZHANG, Sanfeng et al.

Source: Computer Engineering & Science / Jisuanji Gongcheng yu Kexue. May2026, Vol. 48 Issue 5, p844-853. 10p.

Subjects: Graph neural networks, Data augmentation, Commercial crimes, Graph algorithms, Heterogeneity

Transformer-Based Framework for Apparel Image Classification with Data Balancing Method.

Authors: Sebastian, Bob Kusuma, Gede P.

Source: IAENG International Journal of Computer Science. Jun2026, Vol. 53 Issue 6, p2295-2304. 10p.

Subjects: Transformer models, Data augmentation, Image processing, Image recognition (Computer vision), Deep learning

Sample Augmentation for Tree Above-Ground Biomass Estimation Under Limited Field Data: A Case Study in the Greater Khingan Mountains.

Authors: Zhou, Wenqiang Deng, Shiwen Zang, Shuying et al.

Source: Remote Sensing. May2026, Vol. 18 Issue 10, p1627. 28p.

Subjects: Data augmentation, Remote sensing, Feature selection, Supervised learning, Remote-sensing images, Forest measurement

Forest Disturbance Classification Under Imbalanced and Small-Sample Conditions Based on Collaborative Semi-Supervised Learning and Sample Generation.

Authors: Liu, Yudan Zhao, Yuxin Yan, Yan et al.

Source: Remote Sensing. May2026, Vol. 18 Issue 10, p1579. 22p.

Subjects: Data augmentation, Probabilistic generative models, Machine learning, Data distribution, Remote sensing, Supervised learning

UniTF-ADA: A Unified Time-Frequency Framework with Adaptive Loss and Data Augmentations for Robust Driver Fatigue Recognition.

Authors: Liu, Yan Liu, Jie Yan, Hong et al.

Source: Engineering Letters. Jun2026, Vol. 34 Issue 6, p2401-2410. 10p.

Subjects: Time-frequency analysis, Data augmentation, Loss functions (Statistics), Electrophysiology, Statistical reliability, Wakefulness

SCNAnet: Structure-Aware Contrastive with Noise-Augmented Network for Unsupervised Change Detection.

Authors: Sun, Yijie Wu, Qingxi Wang, Nan

Source: Remote Sensing. May2026, Vol. 18 Issue 9, p1427. 23p.

Subjects: Remote sensing, Data augmentation, Change-point problems, Contrastive learning, Encoding

Augmentation Algorithms of Radar Signals Dataset via Wigner-Ville Images.

Authors: Zhao, Dazhi Huang, Lei Zhou, Hui et al.

Source: Engineering Letters. May2026, Vol. 34 Issue 5, p1469-1477. 9p.

Subjects: Data augmentation, Radar signal processing, Signal-to-noise ratio, Time-frequency analysis, Deep learning

Synthetic AI-Generated Satellite Imagery to Improve Earth Observation-Based Neural Networks.

Authors: Albalate-Prieto, Enrique Vallez, Noelia Espinosa-Aranda, José Luis et al.

Source: Sensors (14248220). Jun2026, Vol. 26 Issue 12, p3895. 23p.

Single-Lead ECG Arrhythmia Classification Based on Peak-Enhanced Attention Network and Quality-Aware GAN Data Augmentation Framework.

Authors: Zhang, Yaoyu Xia, Yi

Source: Sensors (14248220). Jun2026, Vol. 26 Issue 12, p3852. 24p.

BAFNet: A Few-Shot Segmentation Algorithm Based on Two-Stage Backbone Network Adaptation Fine-Tuning via Meta-Learning.

Authors: Zhang, Yujie Sui, Yuan Wang, Yubo et al.

Source: Mathematics (2227-7390). Jun2026, Vol. 14 Issue 12, p2059. 29p.