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Frontiers in Artificial Intelligence|August 7, 2026
Hybrid fuzzy C-means and deep learning framework for intelligent fault classification in solar PV systemsV Vignesh, R Senthil Kumar, G SuganeshwariFrontiers in Artificial Intelligence|August 6, 2026
On the fragility of neural architecture search: the role of overfitting and task complexity in medical image analysisA Gómez, M Desco, M AbellaFrontiers in Artificial Intelligence|August 12, 2026
Radiomics-driven and explainable machine learning for rapid characterization of Fusarium wilt and Black Sigatoka in banana cropsRodne Andrés Quijije, Enrique Pelaez, Ana Tapia-Rosero, et al.Frontiers in Artificial Intelligence|August 13, 2026
Overview of RAG-based and LLM-based approaches to personalization in healthcare AI applicationsManal Althobaiti, Minhee JunFrontiers in Artificial Intelligence|August 14, 2026
A comparative analysis of pretrained Wav2Vec XLSR-53 and Whisper-Small models for automatic speech recognition in the Telugu languageJagalingam Pushparaj, Muzaffar Ahmad Dar, Sri Gani Kaarthikeya Kammula, et al.Frontiers in Artificial Intelligence|August 1, 2026
Prediction of female reproductive tract infections risk among college-going young adult women in Delhi using explainable artificial intelligenceJoyeta Ghosh, Ravi Kant, Priya Bhardwaj, et al.Frontiers in Artificial Intelligence|July 17, 2026
GMTW-Ro: a deterministic benchmark for evaluating large language models on grounded Romanian tasksAndrei-Ştefan Bulzan, Bogdan Morariu, Andrei-Răzvan Joldea, et al.Frontiers in Artificial Intelligence|August 13, 2026
A comparative evaluation of quantum machine learning architectures for breast cancer classification using clinical and genomic dataSaartak Allena, Smrithy G S, Balaji ChandrasekaranFrontiers in Artificial Intelligence|August 13, 2026
Bridging agronomic science and context specific farm-level advisory through generative AI for rice systems in IndiaShalini Gakhar, Jawoo Koo, Girija Prasad Patnaik, et al.Frontiers in Artificial Intelligence|August 14, 2026
Artificial intelligence for early prediction of gestational diabetes mellitus and preeclampsia: a systematic review of machine learning models and clinical decision support systemsSubhashree Barada, Ramani SelvanambiPageof 260