Search Results - "DATA augmentation"

Large Language Models for Market Research: A Data-Augmentation Approach.

Authors: Wang, Mengxin Zhang, Dennis J. Zhang, Heng

Source: Marketing Science (INFORMS). Jul/Aug2026, Vol. 45 Issue 4, p728-751. 24p.

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.

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.

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.

Diffusion-Model-Based Data Augmentation for Target Detection in Side-Scan Sonar Images.

Authors: Yang, Yuanxu Zhang, Tao

Source: Remote Sensing. Jul2026, Vol. 18 Issue 13, p2193. 26p.

Subjects: Data augmentation, Sidescan sonar, Object recognition (Computer vision), Probabilistic generative models, Synthetic data, Deep learning, Automatic target recognition

Multimodal Collaboration via Multi-stage Augmentation for Few-Shot Foodborne Pathogens Classification.

Authors: Zhang, Yixiang Hang, Yuting Fang, Jie

Source: IAENG International Journal of Computer Science. Jul2026, Vol. 53 Issue 7, p2825-2833. 9p.

Subjects: Food pathogens, Data augmentation, Public health, Feature extraction, Machine learning

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

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

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

Helikite aerial sensing system: An innovative approach for monitoring construction sites.

Authors: Fei, Cheng Liu, Hui Yang, Zhuanyun et al.

Source: PLoS ONE. 7/16/2026, Vol. 21 Issue 7, p1-19. 19p.

StyleGAN3-T: an alias-free generative framework for synthetic plant disease image augmentation and recognition.

Authors: Aghabalayev, Shahin Abdalla, Ahmed N. Hai, Tao et al.

Source: Scientific Reports. 7/14/2026, Vol. 16 Issue 1, p1-21. 21p.

The impact of data augmentation on the performance of session-based recommender systems.

Authors: Kużelewska, Urszula¹ u.kuzelewska@pb.edu.pl

Source: International Journal of Electronics & Telecommunications. 2026, Vol. 72 Issue 3, p1-9. 9p.

Training-Free Defect Image Generation with Multi-Domain Consistency and Geometric-Semantic Constraints for Industrial Visual Sensing Inspection.

Authors: Wang, Yushen Jiang, Dengbiao Wang, Yiming et al.

Source: Sensors (14248220). Jul2026, Vol. 26 Issue 13, p4216. 34p.

Class-aligned frequency augmentation using variational mode decomposition for few-shot image classification.

Authors: BOUSSAAD, Leila^1,2 leila.boussaad@univ-batna.dz

Source: Turkish Journal of Electrical Engineering & Computer Sciences. 2026, Vol. 34 Issue 4, p661-681. 21p.

Boosting the Transferability of Adversarial Attacks with Semantic-Invariance and Low-Gradient Replacement.

Authors: Zhang, Yunqi Chen, Wei Zhao, Lei et al.

Source: Mathematics (2227-7390). Jul2026, Vol. 14 Issue 13, p2392. 28p.