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Frontiers in Artificial Intelligence|September 30, 2026
CORAL: co-evolutionary optimization of routing and adaptive prompts for cost-efficient LLM deploymentShlok Goenka, Ganesh Khekare, Prithu Adhikari, et al.
Frontiers in Artificial Intelligence|September 30, 2026
A unified multi-modal latent diffusion framework with modality-dropout trainingS Remya, Manu J Pillai, Laveena Herman, et al.
Frontiers in Artificial Intelligence|October 2, 2026
Mamba-based state-space modeling with window attention for explainable multi-class gastrointestinal disease diagnosis in endoscopic imagesVishesh Tanwar, Bhisham Sharma, Julian L Webber, et al.
Frontiers in Artificial Intelligence|October 7, 2026
DST-SGR: a Mamba-inspired dual-stream spectro-temporal network for remaining useful life prediction of rotating machineryA S Gaurish Kumar, S Madhavan, R Dhanalakshmi
Frontiers in Artificial Intelligence|October 7, 2026
A consensus-weighted multi-agent ensemble feature selection framework for antibiotic susceptibility prediction in pediatric respiratory diseasesSarlinraj Madhalaimuthu, Sujatha Radhakrishnan
Frontiers in Artificial Intelligence|October 15, 2026
SkinNet-X: a task coupled feature interaction framework for joint skin lesion segmentation and classificationE Babu, S Murali
Frontiers in Artificial Intelligence|October 15, 2026
Deepfake anomaly detection using kernel density estimation based convolutional autoencoderManas Ranjan Prusty, Sahil Amritkar, Ananthakrishnan Balasundaram, et al.
Frontiers in Artificial Intelligence|October 14, 2026
From public innovation procurement requirements to AI-enabled socio-technical architecture: a longitudinal case study in industrialized housingAlberto Cerezo-Narváez, MCarmen Guerrero Delgado, Magdalena Ramírez-Peña, et al.
Frontiers in Artificial Intelligence|October 14, 2026
Beyond text: quantifying the impact of figure-guided retrieval in biomedical RAG systemsRaghav Kishore Venkatesh, G Sudhakaran, C U Om Kumar
Frontiers in Artificial Intelligence|October 13, 2026
Development of an efficient deep learning model for arrhythmia detection from consumer smartwatchesDan-Cristian George, Mihai-Alexandru Hulubeac, Ştefan-Lucian Grămadă, et al.
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