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Deep learning

Deepfake defense: Combining spatial and temporal cues with CNN–BiLSTM–transformer architecture

Srijana Yadav, S. Sudheer Mangalampalli

Enhanced multi-horizon photovoltaic power forecasting: A novel approach integrating ICEEMDAN decomposition with hierarchical frequency neural networks

Yaopeng Han, Chenxi Li, [ ... ], Jun Wang

Obscured-ensemble models for genomic prediction

Rounak Saha, Amir Morshedian, [ ... ], Mike Domaratzki

A comparative study of MLP and LSTM neural networks for shale gas production prediction based on numerical simulation data

Xiaoou Fei, Man Ye, Zhou Du, Haibin Miao

Automated framework for multi-domain social media text analysis for business strategy employing multilayer perceptron with Word2Vec features and LIME XAI

Amira Turki

Improving detection accuracy of heterogeneity in biological tissues through the combination of modulation-demodulation frame accumulation techniques and enhanced vgg16

Fulong Liu, Siyuan Huang, [ ... ], Junqi Wang

Improved CRISPR/Cas9 off-target prediction with DNABERT and epigenetic features

Kai Kimata, Kenji Satou

GAM-enhanced deepLabv3+ for accurate burn scar extraction in karst regions from remote sensing images

Xiaodong Su, Zhijie Wang, [ ... ], Shaobo Li

Enhancing museum visitor forecasting using deep learning and sentiment analysis: A transformer-based approach for sustainable management

Ziyi Tian, Xiao Wang, Yan Wang, Jae Ho Lee

SH-DETR: Enhancing steel surface defect detection and classification with an improved transformer architecture

Shouluan Wu, Hui Yang, [ ... ], Yang Yang

Multi-modal inflammatory risk modeling in post-PCI patients using behavioral and physiologic data

Sanghee Kim

Detection and classification of venous thromboembolism through image test reports analysis using active learning and deep learning

Eunseon Jeong, Youngje Woo, Hong Joo Lee, Jang Yong Kim

RETRACTED: Interpretable machine learning framework for predicting Urban air quality

Rana Muhammad Amir Latif, Tahir Iqbal, [ ... ], Taher M. Ghazal

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