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Deep learning

A hybrid mamba-transformer architecture fusing clinical and genetic features for gestational diabetes mellitus prediction

Ji Huang, Wenbing Shi, [ ... ], Qianwen Li

A proposed mobility and resource prediction method for seamless handover and service continuity in 5G small cell networks

Khoa Nguyen Dang Dinh, Peppino Fazio, Miroslav Voznak

Deep learning in Myocarditis: A novel approach to severity assessment

Makoto Nishimori, Tomoyuki Otani, [ ... ], Kunihiro Nishimura

Machine vision-based detection method for buzzer iron cores

Xiaoyang Liu, Chenxin Sun, [ ... ], Chongyang Hu

Cascaded YOLO-based approach for Bangladeshi license plate identification and number recognition

Proshenjit Sarker, S. M. Shamsul Alam

FedMamba-IoMT: Federated state space models with differential privacy and byzantine resilience for privacy-preserving intrusion detection in Internet of Medical Things

Yasser Mohammad Al-Sharo, Mohammed Tawfik, [ ... ], Gaber Hassan

The use of artificial intelligence models for interpretation and triage of clinical referral letters to acute and specialist care pathways: Protocol for a systematic review

James Foley, Enda Hession, Etimbuk Umana, Fiona Boland

Deep learning framework for predicting measurement error drift in smart meter sensors under harsh coastal environments

Tianfu Huang

TokenUNet: A new case for transformers integration in efficient and interpretable 3D UNets for brain imaging segmentation

Louis Fabrice Tshimanga, Andrea Zanola, Federico Del Pup, Manfredo Atzori

Bo-Net: Deep learning-based model for automatic bone stromal cell segmentation of fluorescence microscopy images

Giorgio Allegri, Luca Pavirani, [ ... ], Eleonora Dondossola

An end-to-end deep learning image compression method for satellite images based on entropy model

Yanlong Gao, Haiming Xu, [ ... ], Heyang Xu

A cross-domain deep learning framework for remaining useful life prediction in industrial applications

Sudip Saha, Muhammad Arslan Pervaiz, [ ... ], Ashifur Rahman

Deep learning architectures for EEG-based classification of Dravet syndrome: A comparative study of pre-trained and non-pretrained hybrid CNN-LSTM models

Sikandar Hussain, Soyiba Jawed, [ ... ], Shahid Bashir

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