Original ResearchPublished 9 October 2026CyberShield analytics: SHAP-guided stacking ensembles for organizational risk resilienceSadiya Chowdhury · Abdullah Al ImtihanFrontiers in Artificial Intelligencedoi 10.3389/frai.2026.1878587
Original ResearchPublished 9 October 2026Radiomics-based interpretable machine learning model for identifying high-risk patients with small bowel obstruction: a multicenter studyGuozheng Zhang · Xiaohui Liu · Weitao Huang · Xisong Zhu · Cong Xia · Hua Xia · Yuguo Wei · Xiaowei Han · Danqiong WangFrontiers in Medicinedoi 10.3389/fmed.2026.1848334
Original ResearchPublished 2 October 2026Explainable AI for phishing URL detection: a Bayesian-optimized stacking ensemble framework with SHAP-guided feature learningHafiz Aziz Khan · Sonia Akter · Abdur Rahman Lindon · Taslima Akter · Iftekhar Rasul · Mamunur Rahman · Nasrin Akter Tohfa · Iftekhar HossainFrontiers in Artificial Intelligencedoi 10.3389/frai.2026.1854934
Original ResearchPublished 29 September 2026Machine-learning-based prediction of pipe-sticking events in petroleum drilling operations using domain-informed features and class-balanced ensemblesR. Harishwaran · Aslam Abdullah M.Frontiers in Built Environmentdoi 10.3389/fbuil.2026.1913509
Original ResearchPublished 21 July 2026A multi-class, multi-temporal crop and Land cover mapping framework for Morocco using Sentinel-1/2 monthly composites and advanced machine learning ensemblesMaryam Choukri · Yacine Bouroubi · Jamal-Eddine Ouzemou · Said Grich · Guy Armel Kamga Fotso · Saeid Ojaghi · Abdelghani Chehbouni · Ahmed LaamraniFrontiers in Remote Sensingdoi 10.3389/frsen.2026.1827393
