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Frontiers in Artificial Intelligence|July 9, 2026
Evaluating the utility of large language models for detecting and simulating language dysfunctionYan Cong, Jiyeon Lee, Nalin Rajput, et al.Frontiers in Artificial Intelligence|July 8, 2026
Evaluating the real-world robustness of face-swap detection models under compression and noiseLi Baocai, Fazli Bin Azzali, Nik Fatinah Binti N Mohd FaridFrontiers in Artificial Intelligence|July 11, 2026
Design and implementation of an intelligent system for smart garden watering using fuzzy logicHind Mestouri, Kamal Baraka, Jamal Ezzahar, et al.Frontiers in Artificial Intelligence|July 10, 2026
Joint spectro-temporal and perceptual feature learning using a dual-track attention network for music genre classificationV Adithya Hari, S Alden Jenish, R Karthik, et al.Frontiers in Artificial Intelligence|June 25, 2026
A generalized logistic-logit function and its application to multi-layer perceptron and neuron segmentationWenqi Gu, Yingtao Zhang, Alessandro Muscoloni, et al.Frontiers in Artificial Intelligence|July 13, 2026
Evolution of strategies in iterated games: a deep multi-agent reinforcement learning approach with hybrid genetic and CMA-ES optimizationShangJun Li, Avijit Deb Nath, Md Hadi Al-AminFrontiers in Artificial Intelligence|July 13, 2026
Detecting "large language models fingerprint" for Japanese texts generated by six LLMsWataru Zaitsu, Mingzhe Jin, Shunichi Ishihara, et al.Frontiers in Artificial Intelligence|August 5, 2026
Quantum-enhanced generative artificial intelligence: a critical review of classical limitations, complexity barriers, and hybrid quantum-classical architecturesDiljot Singh, Omana J, Smrithy G SFrontiers in Artificial Intelligence|August 1, 2026
Conservative plausibility-filtered SMOTE for credit card fraud detection under extreme class imbalanceFray L Becerra-Suarez, Paolo P Arones-Perez, Frederik F Zamora-Del-Aguila, et al.Frontiers in Artificial Intelligence|July 31, 2026
Predicting HIV viral non-suppression in Uganda: development and validation of machine learning and risk stratification models using routine EMR dataMaria Magdalene Namaganda, Stathis Gennatas, Laura Merson, et al.Pageof 266