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Deep learning

DG-LLM: Decomposition-based dynamic graph adaptation of large language models for spatiotemporal traffic forecasting

Sadia Tabassum, Naushin Nower

Deep Learning outperforms physicians in myopathy and neuropathy classification based on Needle Electromyography Signal

Ilhan Yoo, Jaesung Yoo, [ ... ], Keewon Kim

A novel hybrid framework integrating GA-driven 3D ResUNetGAN for MRI brain tumor segmentation

Muthulakshmi Kirubakaran, Jayalakshmi Mohan

I2I - From illusion to illumination: A neoteric deep learning model for recognizing medical situation actions using depth sensors data

Saima Sultana, Eraj Tanweer, [ ... ], Mazliham Mohd Su’ud

A curated dataset and lightweight deep learning framework for tea leaf disease classification

Sakibul Hasan Chowdhury, Md Shohel Arman, [ ... ], Parvez Ahmed Moju Fahim

Application of artificial intelligence based on contrast-enhanced CT imaging for predicting peritoneal metastasis in patients with T3/T4 stage gastric cancer

Chao Zhang, Siyuan Li, [ ... ], Xianghua Wu

Development of AI-based dopamine transporter (DAT) image generation technique using early phase [¹⁸F]-FP-CIT PET imaging

Changhwan Sung, Jungsu S. Oh, [ ... ], Jae Seung Kim

Unsupervised seamless UAV image stitching via dense prediction

Jun Chen, Honghua Tang, [ ... ], Jianhui Li

Analyzing the performance of deep learning splice prediction algorithms

Nathan Fortier, Gabe Rudy, Andreas Scherer

Hybrid attention-based multi-class classification of Ethiopian legal texts using deep learning

Amlakie Aschale Alemu, Malefia Demilie Melese, Daniel Arega Mengesha, Misganaw Aguate Widneh

GBCapsNet: A calibrated capsule network for automated gallbladder disease diagnosis via ultrasound imaging

Madhu Golla, Hareesha Katiganere Siddaramappa, [ ... ], Pradeep Nijalingappa

A deep learning framework for the localization of landmarks on the lateral semi circular canals

Zhixuan Wei, Sudanthi Wijewickrema, [ ... ], Stephen O’Leary

High-performance RT-DETR model for industrial defect detection with semantic guidance and hierarchical attention

Jin Huang, Bin Gu, [ ... ], Taihua Zhang

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