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Deep learning

Multi-scale error-driven dense residual network for image super-resolution reconstruction

Xueri Li, Lei Yang, Shimin Liang, Jianfang Wu

YOLO-based intelligent recognition system for hidden dangers at construction sites

Hang Li, Peijian Jin, [ ... ], Shimei Sun

Multi-model machine learning for automated identification of rice diseases using leaf image data

Rovin Tiwari, Jaideep Patel, [ ... ], Kapil Gupta

Lightweight deep models based on domain adaptation and network pruning for breast cancer HER2 scoring: IHC vs. H&E histopathological images

Lamiaa Abdel-Hamid, Pratheepan Yogarajah, Safy Hosny Ahmed Tealab

Automated detection and prediction of suicidal behavior from clinical notes using deep learning

Brian E. Bunnell, Athanasios Tsalatsanis, [ ... ], Jihad S. Obeid

Visual enumeration remains challenging for multimodal generative AI

Alberto Testolin, Kuinan Hou, Marco Zorzi

Explainable AI to unveil cellular autophagy dynamics

Oriana Presacan, María Hernández Mesa, [ ... ], Michael A. Riegler

Automated classification of clinical diagnoses in electronic health records using transformer

Lixia Dai, Hang Xu, Yugui Zhang

Deep learning-based classification of peptide analytes from single-channel nanopore translocation events

Bryan A. Krantz

Multi-scale diffusion model for underwater image restoration and enhancement

Yuan Fang, Qianyi Li, Kai Wang

Deep feature engineering for accurate sperm morphology classification using CBAM-enhanced ResNet50

Şafak Kılıç

Optimization design of interior space based on the two-stage deep learning network and Single sample-driven method

Liang Na, Zhou Hui, Xia Huaxia

Utilizing CNNs for classification and uncertainty quantification for 15 families of European fly pollinators

Thomas Stark, Michael Wurm, [ ... ], Tiffany M. Knight

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