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Deep learning

EMP: Enhanced Multi-modal Prediction for fashion sales using Fourier Mapping and ERP-based contrastive learning

Sanguk Park, Byungyoon Park, [ ... ], Wooju Kim

Unimodal vs. multimodal deep learning for non-invasive MGMT promoter methylation prediction in glioblastoma: A systematic evaluation on the BraTS 2021 dataset

Freddy Oulia, Philippe Charton, [ ... ], Frederic Cadet

Empowering rural governance with digital technology: Deep learning models for automated detection of rural buildings using remote sensing images

Jingling Zhong, Youcai Xie, Lixia Li, Chuanlin Shi

Real-time detection of rare roadside obstacles using YOLOv8-n in autonomous vehicles

Afeera Bint-e Tanveer, Muhammad Ayoub Kamal, Muhammad Mansoor Alam, Mazliham Mohd Su’ud

Multi-scale feature integration with enhanced cytomorph for high-accuracy cervical cytology classification

Elif İlgazi Kılıç, Şafak Kılıç

Verification of historical sketches via one-class learning on compact feature representations

Hassan Ugail, Jan Ritch-Frel, Irina Matuzava, David G. Stork

Explainable IAOA-CNN-CBAM-SVR model for predicting air consumption of auxiliary nozzles with limited sample size

Min Shen, Yongbo Cao, [ ... ], Yongfa Lv

Focusing on legal cases: Automatic classification of legal documents with sentence embeddings and deep learning models

Fawaz Khaled Alarfaj

A U-Net model for epidermal segmentation in optical coherence tomography images of actinic keratosis

Theofanis Angelis, Peter A. Philipsen, [ ... ], Gavrielle R. Untracht

Deep learning-based arterial waveform analysis for predicting postoperative cerebrovascular events in pediatric patients with Moyamoya disease

Jung-Bin Park, Youmin Shin, [ ... ], Young-Gon Kim

Integrating deep learning, biological hierarchies, and high-resolution imagery to create a new identification tool for cryptic coral reef fishes

Leonardo F. Reginato, Simon J. Brandl

Spatiotemporal weather forecasting via multi-scale graph neural networks and latent diffusion models

ZhiPeng Wu

AMGST: Adaptive multi-graph convolution and spatiotemporal attention network for traffic forecasting

Pei Shi, Qixiang Lu, [ ... ], Jiadong Sun

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