Search Results - "Transformer models"

Practice Summary: Cainiao Enhances the Parcel Sorting Efficiency Through AI-Generated Delivery Zone Codes.

Authors: Yuan, Biao Zheng, Xusheng Cui, Weiwei et al.

Source: INFORMS Journal on Applied Analytics. Mar/Apr2026, Vol. 56 Issue 2, p193-197. 5p.

A Firm's Operational Risk: Data Set and Empirical Evidence.

Authors: Astvansh, Vivek Simpson, Joseph J.

Source: Manufacturing & Service Operations Management (M&SOM) (INFORMS). Jan/Feb2026, Vol. 28 Issue 1, p326-341. 16p.

Time-series XAI for FX rate or inflation-linked risk forecasting: Transformer forecasting.

Authors: Razzaqov, Jasur Amonov, Mehriddin Sattarov, Nematjon et al.

Source: EPJ Web of Conferences. 5/15/2026, Vol. 369, p1-16. 16p.

UHV Converter Transformer Equipment Fault Diagnosis via Cross-Modal Transformer with DGA and Infrared Image Fusion.

Authors: Yang, Xin Liao, Wenlong Liu, Rui et al.

Source: Energies (19961073). Jun2026, Vol. 19 Issue 12, p2747. 17p.

Subject Terms: *Multisensor data fusion, *Transformer models, *Electric transformers, *Gas analysis, *Thermography, *Fault diagnosis

U-Transformer: A Hybrid Convolutional Neural Network–Transformer Framework for Denoising Medical Images Across Imaging Modalities.

Authors: Neamah, Rusul Mohammed Ayoob, Noor Kadhim Abbood, Elaf Ali et al.

Source: Ingénierie des Systèmes d'Information. May2026, Vol. 31 Issue 5, p1473-1483. 11p.

Survey of Deep Learning Techniques for Radiology Report Generation.

Authors: Yedla, Greeshma Vadluri, Thirupathi

Source: Ingénierie des Systèmes d'Information. May2026, Vol. 31 Issue 5, p1703-1710. 8p.

Standardized Precipitation Index Forecasting Comparison Using Transformer Models.

Authors: Magallanes-Quintanar, Rafael Galván-Tejada, Carlos Eric Galván-Tejada, Jorge Isaac et al.

Source: Forecasting. Jun2026, Vol. 8 Issue 3, p44. 19p.

HAXE: Attention-Rationale Alignment Framework for Explainable Hate Speech Detection in Transformer Models.

Authors: Dhanardi, James Alvin Purnomo, Fredy Prasetyo, Anang

Source: Journal of Information Systems Engineering & Business Intelligence. Jun2026, Vol. 12 Issue 2, p414-427. 14p.

Toward Real-Time Hoax Detection: Integrating Transformer for News Scraping and Semantic Analysis.

Authors: Nur, M. Adnan Herlinah Zuhriyah, Sitti

Source: Journal of Information Systems Engineering & Business Intelligence. Jun2026, Vol. 12 Issue 2, p348-360. 13p.

A Dual-Stream CNN and Trajectory-Transformer Model for Early Dysgraphia Screening Using Handwritten Data.

Authors: Pamungkas, Yuri Karim, Abdul Uda, Muhammad Nur Afnan et al.

Source: Journal of Information Systems Engineering & Business Intelligence. Jun2026, Vol. 12 Issue 2, p253-268. 16p.

Forecasting horizon Dst index based on solar wind data using deep learning and generative artificial intelligence.

Authors: Wihayati Purnomo, Hindriyanto Dwi Trihandaru, Suryasatriya

Source: Journal of Astrophysics & Astronomy. 7/8/2026, Vol. 47 Issue 2, p1-22. 22p.

Subjects: Transformer models, Generative artificial intelligence, Solar wind, Magnetic storms, Space environment, Deep learning, Generative adversarial networks, Forecasting

MODIS-Based Estimation of Grassland Gross Primary Productivity in Inner Mongolia Using a ConvTransformer Deep Learning Model.

Authors: Shi, Dingqi Yao, Yunjun Li, Yufu et al.

Source: Remote Sensing. Jun2026, Vol. 18 Issue 12, p2016. 22p.

Subjects: Transformer models, MODIS (Spectroradiometer), Deep learning, Spatiotemporal processes, Environmental monitoring, Carbon cycle

Geographic Terms: Inner Mongolia (China)

Cross-Project Generalization Challenges in Transformer-Based Code Smell Detection: An Empirical Study.

Authors: Burra, Bhavana Chowdary Shukla, Seema Goyal, Mayank Kumar

Source: International Journal of Performability Engineering. Jun2026, Vol. 22 Issue 6, p318-330. 13p.

Subjects: Transformer models, Machine learning, Computer software quality control, Maintainability (Engineering), Optimization algorithms, Skewness (Probability theory)

Hybrid network of convolutional neural networks and transformer for metal debris imaging with electrostatic tomography.

Authors: Wang, Ying Liu, Xianglong Li, Danyang et al.

Source: Insight: Non-Destructive Testing & Condition Monitoring. Jun2026, Vol. 68 Issue 6, p380-388. 9p.

Subjects: Convolutional neural networks, Transformer models, Tomography, Artificial neural networks, Inverse problems

RPAFormer: Building Extraction with Relative Position Aggregated Transformer.

Authors: Xing, Juehui Yao, Siyuan Zhu, Zhongyi et al.

Source: Remote Sensing. Jun2026, Vol. 18 Issue 11, p1849. 21p.

Subjects: Transformer models, Remote sensing, Spatial arrangement, Urban planning, Image segmentation

MAFT: A Lightweight Network for Martian Rock Segmentation Based on an Adaptive Frequency Transformer.

Authors: Li, Chu Jia, Yutong Wan, Gang et al.

Source: Remote Sensing. Jun2026, Vol. 18 Issue 11, p1794. 29p.

Subjects: Image segmentation, Transformer models, Mars rovers, Obstacle avoidance (Robotics), Artificial neural networks, Dust storms

Transformer-based hybrid classification for plant leaf disease detection using vision transformer, principal component analysis, and support vector machine.

Authors: Abbigeri, Vijayalakshmi S. Devanagavi, Geetha D.

Source: International Journal of Electrical & Computer Engineering (2088-8708). Jun2026, Vol. 16 Issue 3, p1399-1406. 8p.

Subjects: Transformer models, Principal components analysis, Foliar diagnosis, Precision farming, Classification algorithms, Support vector machines, Agricultural technology, Feature extraction

Hybrid convolutional neural network-transformer models for liver tumor segmentation: a comprehensive review.

Authors: Attiya, Ibrahim Mohamed Thabet, Mostafa Kaseb, Mostafa R.

Source: International Journal of Electrical & Computer Engineering (2088-8708). Jun2026, Vol. 16 Issue 3, p1382-1398. 17p.

Subjects: Transformer models, Liver tumors, Artificial intelligence, Computer-assisted image analysis (Medicine), Machine learning, Liver disease diagnosis, Deep learning

GAN-augmented vision transformer with balanced synthetic data generation for robust rice leaf disease detection.

Authors: Islam, Saiful Akhtar, Md. Nasim Hassan, M. Mahadi et al.

Source: International Journal of Electrical & Computer Engineering (2088-8708). Jun2026, Vol. 16 Issue 3, p1307-1318. 12p.

Subjects: Generative adversarial networks, Transformer models, Data augmentation, Edge computing, Rice diseases & pests, Agricultural technology, Deep learning

Time series anomaly detection based on variational Transformer.

Authors: XUE, Anrong CHEN, Jie

Source: Computer Engineering & Science / Jisuanji Gongcheng yu Kexue. May2026, Vol. 48 Issue 5, p914-924. 11p.

Subjects: Outlier detection, Transformer models, K-means clustering, Machine learning