Frontiers in Artificial Intelligence | Machine Learning and Artificial Intelligence section | New and Recent Articles https://www.frontiersin.org/journals/artificial-intelligence/sections/machine-learning-and-artificial-intelligence RSS Feed for Machine Learning and Artificial Intelligence section in the Frontiers in Artificial Intelligence journal | New and Recent Articles en-us Frontiers Feed Generator,version:1 2026-08-11T13:07:26.452+00:00 60 https://www.frontiersin.org/articles/10.3389/frai.2026.1880282 https://www.frontiersin.org/articles/10.3389/frai.2026.1880282 <![CDATA[Improved graph-based model for phishing website detection using multi-level web page graphs and dynamic heterogeneous graph attention network]]> 2026-08-11T00:00:00Z Original Research S. KavyaD. Sumathi https://www.frontiersin.org/articles/10.3389/frai.2026.1784973 https://www.frontiersin.org/articles/10.3389/frai.2026.1784973 <![CDATA[What really happens when a dev vibes with the code? An empirical study on LLM behavioral divergence in response to expressive code comments]]> 2026-08-11T00:00:00Z Original Research Angela N. Johnson https://www.frontiersin.org/articles/10.3389/frai.2026.1884843 https://www.frontiersin.org/articles/10.3389/frai.2026.1884843 <![CDATA[Automated evaluation of dental cavity preparation quality using deep learning and anatomically informed geometric analysis]]> 2026-08-11T00:00:00Z Original Research Abdullah F. AlshammariBassam A. AnaziMahvish KhanHamdan A. AlshammariNajmah A. AlmowinaYousef E. AleneziSaif KhanShafiul HaqueAhmed A. Madfa https://www.frontiersin.org/articles/10.3389/frai.2026.1886896 https://www.frontiersin.org/articles/10.3389/frai.2026.1886896 <![CDATA[Predicting influenza in the post-COVID era: assessing LSTM, GRU, and transformer robustness to covariate shift]]> 2026-08-11T00:00:00Z Original Research Atiqa Naeem Alam DinWoldegebriel Assefa WoldegerimaJianhong Wu https://www.frontiersin.org/articles/10.3389/frai.2026.1826633 https://www.frontiersin.org/articles/10.3389/frai.2026.1826633 <![CDATA[A systematic literature review exploring the application of deep learning in electric vehicles from 2015 to 2025]]> 2026-08-11T00:00:00Z Systematic Review John Vianney SsennonoJaveed KitturSabah-Ud-Din Waqar https://www.frontiersin.org/articles/10.3389/frai.2026.1868693 https://www.frontiersin.org/articles/10.3389/frai.2026.1868693 <![CDATA[Fear-driven predator–prey dynamics with prey refuge: analytical framework and physics-informed neural network approach]]> 2026-08-10T00:00:00Z Original Research G. RamrajT. Poornima https://www.frontiersin.org/articles/10.3389/frai.2026.1895239 https://www.frontiersin.org/articles/10.3389/frai.2026.1895239 <![CDATA[GA-AFedOD: gradient-aligned active federated learning for resource-aware object detection in edge industrial IoT]]> 2026-08-10T00:00:00Z Original Research Zepeng WangXiaogang YuanJie Chen https://www.frontiersin.org/articles/10.3389/frai.2026.1881543 https://www.frontiersin.org/articles/10.3389/frai.2026.1881543 <![CDATA[Generative AI-enhanced synthetic X-ray augmentation with gradient-based selection for battery detection in WEEE]]> 2026-08-06T00:00:00Z Original Research Farhan MahmoodGeorge ChryssinasMyrto InglezouEvangelos KatralisPanagiotis ChatzakosAntonios Porichis https://www.frontiersin.org/articles/10.3389/frai.2026.1925121 https://www.frontiersin.org/articles/10.3389/frai.2026.1925121 <![CDATA[Correction: Exploiting explanations for model extraction via knowledge distillation and mitigation with private counterfactuals]]> 2026-08-06T00:00:00Z Correction Fatima EzzeddineSilvia GiordanoOmran Ayoub https://www.frontiersin.org/articles/10.3389/frai.2026.1856630 https://www.frontiersin.org/articles/10.3389/frai.2026.1856630 <![CDATA[Federated spatio-temporal graph neural network for privacy-preserving vehicle trajectory prediction in autonomous driving]]> 2026-08-06T00:00:00Z Original Research Aditi JoshiAmrutha PVaidehi PrajapatiSudha AnbalaganSuganeshwari G https://www.frontiersin.org/articles/10.3389/frai.2026.1892739 https://www.frontiersin.org/articles/10.3389/frai.2026.1892739 <![CDATA[AdaK: adaptive KV cache budget estimation framework for analyzing long-context large language model inference]]> 2026-08-05T00:00:00Z Original Research Tianjun Shao https://www.frontiersin.org/articles/10.3389/frai.2026.1872217 https://www.frontiersin.org/articles/10.3389/frai.2026.1872217 <![CDATA[EdgeLane-SEG: an energy-efficient embedded edge AI framework for real-time road marking and lane lines detection with instance segmentation in ADAS and autonomous driving]]> 2026-08-05T00:00:00Z Original Research Mohammed ChamanAnas El MalikiWiame BouyoussefAbdelmounaim BelaaribiYounes LaababidZouhair SadouneAbdelkader MezouariHamad DahouAbdelkader Hadjoudja https://www.frontiersin.org/articles/10.3389/frai.2026.1886098 https://www.frontiersin.org/articles/10.3389/frai.2026.1886098 <![CDATA[Trust-driven consensus reaching in human-AI hybrid large-scale group decision-making]]> 2026-07-29T00:00:00Z Original Research Xinyu WangXuanhua XuWeiwei Zhang https://www.frontiersin.org/articles/10.3389/frai.2026.1837513 https://www.frontiersin.org/articles/10.3389/frai.2026.1837513 <![CDATA[A comparative evaluation of quantum machine learning architectures for breast cancer classification using clinical and genomic data]]> 2026-07-29T00:00:00Z Original Research Saartak AllenaSmrithy G. S.Balaji Chandrasekaran https://www.frontiersin.org/articles/10.3389/frai.2026.1861374 https://www.frontiersin.org/articles/10.3389/frai.2026.1861374 <![CDATA[A hierarchical federated learning framework with FedNova, game-theoretic matching, and QKD-assisted privacy for the internet of vehicles]]> 2026-07-29T00:00:00Z Original Research L. Jai VinitaV. Vetriselvi https://www.frontiersin.org/articles/10.3389/frai.2026.1894116 https://www.frontiersin.org/articles/10.3389/frai.2026.1894116 <![CDATA[AI without representation is just inequity at scale: on the exportation of unrepresentative artificial intelligence models to the Global South]]> 2026-07-29T00:00:00Z Opinion César Abelardo Tinco AliagaMyles Joshua Toledo TanVasco Gerardo Hinostroza FuentesHezerul Abdul KarimNouar AlDahoul https://www.frontiersin.org/articles/10.3389/frai.2026.1849315 https://www.frontiersin.org/articles/10.3389/frai.2026.1849315 <![CDATA[TriFusion-ADFormer: a deep learning framework for early Alzheimer’s disease detection using MRI and cognitive metrics]]> 2026-07-27T00:00:00Z Original Research S. Sabari VasanP. Jayalakshmi https://www.frontiersin.org/articles/10.3389/frai.2026.1826465 https://www.frontiersin.org/articles/10.3389/frai.2026.1826465 <![CDATA[AI-based secure event-driven serverless architecture for scalable digital civic participation platform]]> 2026-07-24T00:00:00Z Original Research Aizhan KassymovaAbdul RazaqueRaissa UskenbayevaZhuldyz KalpeyevaAizhan Anartayeva https://www.frontiersin.org/articles/10.3389/frai.2026.1848216 https://www.frontiersin.org/articles/10.3389/frai.2026.1848216 <![CDATA[A four-module neural architecture for the automatic extraction and classification of causal relations in text]]> 2026-07-23T00:00:00Z Original Research Roman TaberkhanNurbolat TasbolatulyMadina SambetbayevaSaule TazhibayevaNurmira ZhumayBayangali AbdygalymMira Kaldarova https://www.frontiersin.org/articles/10.3389/frai.2026.1867175 https://www.frontiersin.org/articles/10.3389/frai.2026.1867175 <![CDATA[An explainable end-to-end computer vision pipeline for detection, segmentation, and reconstruction of occluded weapons in forensic imagery]]> 2026-07-23T00:00:00Z Original Research Vaibhav RohellaKumar AnuragAditya KumarManjula V.Shanthi P. 0.54, PSNR > 16 dB, Region IoU > 0.80) up to approximately 50% occlusion. An interactive Streamlite application demonstrates the pipeline’s feasibility in 42–46 seconds as a controlled laboratory prototype.DiscussionThe proposed explainable forensic pipeline highlights the potential of combining transformer-based detection with generative AI to assist forensic weapon analysis under challenging occlusion scenarios. The generated reconstructions and sketches are intended as visual aids for expert review and must undergo independent forensic validation before any operational use.]]>