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Deep learning

Bayesian Uncertainty-aware Deep Learning with noisy labels: Tackling annotation ambiguity in EEG seizure detection

Deeksha M. Shama, Archana Venkataraman

Dual chaotic encryption method for wireless communication privacy data based on deep learning

Hongbo Yu

Artificial intelligence in the diagnosis of deep vein thrombosis: A scoping review

Teresa Chen, Ranita Hisham Shunmugam, [ ... ], Kwan Hoong Ng

RGB-based visual encoding of vibration data for gearbox fault diagnosis using U-Net segmentation model

İrfan Kiliç, Gülşah Karaduman, Beyda Tasar, Orhan Yaman

GARN3: A coarse-grained helix centered technique for RNA 3D structures prediction

Jhonatan Silva, Johanne Cohen, Daniel Cordeiro

Perceptual no-reference image quality assessment with meta-learning by graph representation learning and multi-scale feature fusion

Yanru Jia, Longsheng Wei

Comparative evaluation of deep learning models for plant disease classification with edge-aware performance analysis

Zirije Hasani, Jakup Fondaj, Dionesa Bytyqi, Sufjan Misini

Hybrid quantum-classical neural networks for real-time fault detection in power systems

Hina Hashmi, Aman Kumar, [ ... ], Arshad Hashmi

Tree ring segmentation performance in highly disturbed trees using deep learning

Joe David Zambrano-Suárez, Jorge Pérez-Martín, Alberto Muñoz-Torrero Manchado, Juan Antonio Ballesteros Cánovas

LXNet: A lightweight CNN for lung disease classification from Chest X-ray with XAI-based interpretability

Juiria Humayan, Md. Najmus Sakib Nahid, [ ... ], Mona Jamjoom

Automated classification of natural habitats using ground-level imagery

Mahdis Tourian, Remy Vandaele, [ ... ], Hywel T. P. Williams

A hybrid transformer-BiLSTM model optimized with Firefly Algorithm for network traffic anomaly detection

Debiao Luo, Weijie Wang, [ ... ], Jia Zhang

A two stage statistical framework for cold start spare part demand forecasting

Sendhil Nathan B, Veera Siva Reddy B, [ ... ], Santi Jitpichitchai

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