Two-stage augmentation for detecting malignancy of BI-RADS 3 lesions in early breast cancer.

Autores: Tian, Huanhuan¹ (AUTHOR), Cai, Li¹ (AUTHOR), Gui, Yu² (AUTHOR), Cai, Zhigang¹ (AUTHOR), Han, Xianfeng¹ (AUTHOR), Liao, Jianwei¹ (AUTHOR), Chen, Li² (AUTHOR) chenli@tmmu.edu.cn, Wang, Yi¹ (AUTHOR) echowang@swu.edu.cn

Fonte: BMC Cancer. 4/17/2025, Vol. 25 Issue 1, p1-13. 13p.

Termos do assunto: *RECEIVER operating characteristic curves, *DATA augmentation, *EARLY detection of cancer, *DEEP learning, *ARTIFICIAL intelligence

MAF-Net: A multimodal data fusion approach for human action recognition.

Autores: Xie, Dongwei¹ (AUTHOR), Zhang, Xiaodan² (AUTHOR), Gao, Xiang³ (AUTHOR) gaoxiang20230927@163.com, Zhao, Hu¹ (AUTHOR), Du, Dongyang⁴ (AUTHOR)

Fonte: PLoS ONE. 4/9/2025, Vol. 20 Issue 4, p1-27. 27p.

Termos do assunto: *HUMAN activity recognition, *DATA augmentation, *MULTISENSOR data fusion, *ATTENTION

Efficient quantification of Parkinson's disease severity using augmented time-series data.

Autores: Huo, Hua¹ (AUTHOR) pacific_huo@126.com, Jiao, Shupei¹ (AUTHOR), Li, Dongfang¹ (AUTHOR), Ma, Lan¹ (AUTHOR), Xu, Ningya¹ (AUTHOR)

Fonte: PLoS ONE. 4/2/2025, Vol. 20 Issue 4, p1-26. 26p.

Termos do assunto: *PARKINSON'S disease, *DATA augmentation, *GROUND reaction forces (Biomechanics), *MACHINE learning, *TRANSFORMER models

UFM: Unified feature matching pre-training with multi-modal image assistants.

Autores: Di, Yide^1,2 (AUTHOR), Liao, Yun^2,3 (AUTHOR) LiaoYun@ynu.edu.cn, Zhou, Hao² (AUTHOR), Zhu, Kaijun² (AUTHOR), Duan, Qing³ (AUTHOR), Liu, Junhui³ (AUTHOR), Lu, Mingyu¹ (AUTHOR) dlmuitrec@163.com

Fonte: PLoS ONE. 3/31/2025, Vol. 20 Issue 3, p1-27. 27p.

Termos do assunto: *COMPUTER vision, *DATA augmentation, *GENERALIZATION, *ALGORITHMS, *IMAGE registration

FDTransUnet: An aluminum surface defect segmentation model based on feature differentiation.

Autores: Tang, Mingzhu^1,2 (AUTHOR) mingzhu.tang@glut.edu.cn, Wang, Wencheng^1,2 (AUTHOR)

Fonte: PLoS ONE. 3/19/2025, Vol. 20 Issue 3, p1-16. 16p.

Termos do assunto: *DATA augmentation, *SURFACE defects, *TRANSFORMER models, *ALUMINUM, *GENERALIZATION

A comprehensive survey and comparative analysis of time series data augmentation in medical wearable computing.

Autores: Hasan, Md Abid¹ (AUTHOR) abid1084@gmail.com, Li, Frédéric¹ (AUTHOR), Gouverneur, Philip² (AUTHOR), Piet, Artur² (AUTHOR), Grzegorzek, Marcin^1,2 (AUTHOR)

Fonte: PLoS ONE. 3/18/2025, Vol. 20 Issue 3, p1-38. 38p.

Termos do assunto: *DATA augmentation, *TIME series analysis, *TIME complexity, *EMOTION recognition, *DATABASES, *HUMAN activity recognition

A dynamic and adaptive class-balanced data augmentation approach for 3D LiDAR point clouds.

Autores: Liu, Bo^1,2 (AUTHOR), Qi, Xiao³ (AUTHOR) qixiao0513@sina.com

Fonte: PLoS ONE. 3/17/2025, Vol. 20 Issue 3, p1-17. 17p.

Termos do assunto: *POINT cloud, *DATA augmentation, *LIDAR, *ROTATIONAL motion, *CLASSIFICATION

RETRACTED: Improved segmentation of brain tumors with data augmentation using MU-Net.

Autores: Hossain, AKM B.¹ (AUTHOR) k.m.a@graduate.utm.my, Salam, Md. Sah Bin Hj.¹ (AUTHOR), Alam, Muhammad S.^1,2 (AUTHOR), Hossain, AKM Bellal² (AUTHOR)

Fonte: Journal of Intelligent & Fuzzy Systems. 2025Supplement3, Vol. 48, p157-168. 12p.

Termos do assunto: *RETRACTION of scholarly articles, *DATA augmentation, *BRAIN tumors

Fractional Pelican African Vulture Optimization-based classification of breast cancer using mammogram images.

Autores: Prasad, Rajesh¹ (AUTHOR) rajesh.prasad@mituniversity.edu.in, Prasad, Jayashree¹ (AUTHOR), Ranjan, Nihar² (AUTHOR), Dhumane, Amol³ (AUTHOR), Tamboli, Mubin⁴ (AUTHOR)

Fonte: Imaging Science Journal. Feb2025, Vol. 73 Issue 1, p84-104. 21p.

Termos do assunto: *OPTIMIZATION algorithms, *DATA augmentation, *TUMOR classification, *BREAST cancer, *FRACTIONAL calculus, *BREAST

Citrus diseases detection using innovative deep learning approach and Hybrid Meta-Heuristic.

Autores: Butt, Nouman¹ (AUTHOR), Iqbal, Muhammad Munwar¹ (AUTHOR), Ramzan, Shabana² (AUTHOR), Raza, Ali³ (AUTHOR), Abualigah, Laith^4,5,6,7 (AUTHOR), Fitriyani, Norma Latif⁸ (AUTHOR), Gu, Yeonghyeon⁸ (AUTHOR) yhgu@sejong.ac.kr, Syafrudin, Muhammad⁸ (AUTHOR) udin@sejong.ac.kr

Fonte: PLoS ONE. 1/22/2025, Vol. 20 Issue 1, p1-22. 22p.

Termos do assunto: *SUSTAINABILITY, *DATA augmentation, *FEATURE selection, *AGRICULTURE, *DEEP learning, *GRAPEFRUIT, *ORANGES, *CITRUS

Clustering-based adaptive data augmentation for class-imbalance in machine learning (CADA): additive manufacturing use case.

Autores: Dasari, Siva Krishna^1,2 (AUTHOR) siva.krishna.dasari@bth.se, Cheddad, Abbas¹ (AUTHOR) abbas.cheddad@bth.se, Palmquist, Jonatan² (AUTHOR) Jonatan.Palmquist@gknaerospace.com, Lundberg, Lars¹ (AUTHOR) lars.lundberg@bth.se

Fonte: Neural Computing & Applications. Jan2025, Vol. 37 Issue 2, p597-610. 14p.

Termos do assunto: *DATA augmentation, *CASTING (Manufacturing process), *STATISTICAL hypothesis testing, *RANDOM forest algorithms, *MANUFACTURING processes

MILLET EAR DETECTION METHOD IN UAV IMAGES BASED ON IMPROVED YOLOX.

Alternate Title: 基于改进YOLOX 的无人机图像谷穗检测方法.

Autores: Fuming MA¹, Shaonian LI¹ Lsn19@163.com, Juxia LI², Yanwen LI², Lei DUAN², Linwei LI², Jing TAN¹, Yifan WANG¹

Fonte: INMATEH - Agricultural Engineering. 2025, Vol. 75 Issue 1, p680-690. 11p.

Termos do assunto: *DRONE aircraft, *DATA augmentation, *DEEP learning, *MILLETS, *FEATURE extraction

Advancing democratic processes in Ecuador: A case study on neural network‐driven OCR for election report verification.

Autores: Asimbaya, José Alejandro Mosquera¹ (AUTHOR), Ramírez, Gabriel M.² (AUTHOR) gramirez@udemedellin.edu.co, Díaz‐Arancibia, Jaime³ (AUTHOR)

Fonte: Expert Systems. Jan2025, Vol. 42 Issue 1, p1-26. 26p.

Termos do assunto: *ARTIFICIAL intelligence, *DATA augmentation, *WEBSITES, *FRAUD investigation, *ELECTIONS

Dermoskopik görüntülerde lezyon bölütleme için iyileştirme önerileri.

Alternate Title: Improvement proposals for lesion segmentation on dermoscopic images.

Autores: Arpacı, Saadet Aytaç¹ saadeta99@gmail.com, Varlı, Songül^1,2 svarli@yildiz.edu.tr

Fonte: Journal of the Faculty of Engineering & Architecture of Gazi University / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi,. 2025, Vol. 40 Issue 1, p251-263. 13p.

Termos do assunto: Data augmentation, Convolutional neural networks, Skin imaging, Image segmentation

AEGAN-Pathifier: a data augmentation method to improve cancer classification for imbalanced gene expression data.

Autores: Zhang, Qiaosheng¹ (AUTHOR), Wei, Yalong¹ (AUTHOR) yalongwei@jou.edu.cn, Hou, Jie² (AUTHOR), Li, Hongpeng³ (AUTHOR), Zhong, Zhaoman¹ (AUTHOR)

Fonte: BMC Bioinformatics. 12/27/2024, Vol. 25 Issue 1, p1-19. 19p.

Termos do assunto: *GENERATIVE adversarial networks, *DATA augmentation, *DEEP learning, *AUTOENCODER, *TUMOR classification

MobileDepth: Monocular Depth Estimation Based on Lightweight Vision Transformer.

Autores: Li, Yundong¹ (AUTHOR) liyundong@ncut.edu.cn, Wei, Xiaokun¹ (AUTHOR)

Fonte: Applied Artificial Intelligence. 2024, Vol. 38 Issue 1, p1-20. 20p.

Termos do assunto: *TRANSFORMER models, *DATA augmentation, *FEATURE extraction, *MONOCULARS

Residual SwinV2 transformer coordinate attention network for image super resolution.

Autores: Lei, Yushi¹ (AUTHOR) s21060809021@smail.cczu.edu.cn, Zhu, Zhengwei¹ (AUTHOR) zhuzw@cczu.edu.cn, Qin, Yilin² (AUTHOR) q1105493103@163.com, Zhu, Chenyang³ (AUTHOR) zcy@cczu.edu.cn, Zhu, Yanping¹ (AUTHOR) zhuyanping@cczu.edu.cn

Fonte: AI Communications. 2024, Vol. 37 Issue 4, p693-709. 17p.

Termos do assunto: *TRANSFORMER models, *DATA augmentation, *IMAGE reconstruction, *FEATURE extraction, *HIGH resolution imaging

Data augmentation via warping transforms for modeling natural variability in the corneal endothelium enhances semi-supervised segmentation.

Autores: Sanchez, Sergio¹ (AUTHOR), Vallez, Noelia² (AUTHOR), Bueno, Gloria² (AUTHOR), Marrugo, Andres G.¹ (AUTHOR) agmarrugo@utb.edu.co

Fonte: PLoS ONE. 11/12/2024, Vol. 19 Issue 11, p1-18. 18p.

Termos do assunto: *DATA augmentation, *CONVOLUTIONAL neural networks, *IMAGE segmentation, *AFFINE transformations, *CORNEA

Developing linguistic patterns to mitigate inherent human bias in offensive language detection.

Autores: TANYEL, Toygar^1,2, ALKURDI, Besher¹, AYVAZ, Serkan^1,3 seay@mmmi.sdu.dk

Fonte: Turkish Journal of Electrical Engineering & Computer Sciences. 2024, Vol. 32 Issue 6, p829-848. 24p.

Termos do assunto: *LINGUISTICS, *DATA augmentation, *DATA mining, *HATE speech, *SOCIAL problems

MosquitoSong+: A noise-robust deep learning model for mosquito classification from wingbeat sounds.

Autores: Supratak, Akara¹ (AUTHOR), Haddawy, Peter^1,2 (AUTHOR), Yin, Myat Su¹ (AUTHOR) myatsu.yin@mahidol.ac.th, Ziemer, Tim^2,3 (AUTHOR), Siritanakorn, Worameth¹ (AUTHOR), Assawavinijkulchai, Kanpitcha¹ (AUTHOR), Chiamsakul, Kanrawee¹ (AUTHOR), Chantanalertvilai, Tharit¹ (AUTHOR), Suchalermkul, Wish¹ (AUTHOR), Sa-ngamuang, Chaitawat^1,2 (AUTHOR), Sriwichai, Patchara⁴ (AUTHOR)

Fonte: PLoS ONE. 10/30/2024, Vol. 19 Issue 10, p1-24. 24p.

Termos do assunto: *MACHINE learning, *DATA augmentation, *MOSQUITO vectors, *VECTOR control, *POPULATION density, *DEEP learning