Original ResearchPublished 9 October 2026Machine learning-based modeling of soil respiration components across four forest types in a subtropical mountainous forest with implications for modeling strategies and hydrothermal controlsNan Deng · Yaqin Xiao · Fengfeng Ma · Yuxin TianFrontiers in Forests and Global Changedoi 10.3389/ffgc.2026.1972229
Original ResearchPublished 8 October 2026Association of NT-proBNP/LVEF with angiographic coronary disease burden in acute myocardial infarction: a retrospective study with machine learning analysesZhongxin Li · Jiantong Hou · Linqing Li · Xianzhao Zhang · Qingrong JiFrontiers in Cardiovascular Medicinedoi 10.3389/fcvm.2026.1964997
Original ResearchPublished 6 October 2026Bridging the performance–efficiency gap: a resource-efficient hybrid DL-ML framework for jackfruit disease detectionRittik Chandra Das Turjy · Fahmid Al Farid · Md. Hasan Imam Bijoy · Sarbajit Paul Bappy · Amir Sohel · Jia Uddin · Hezerul Bin Abdul KarimFrontiers in Artificial Intelligencedoi 10.3389/frai.2026.1884567
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 17 September 2026Factors associated with prior pregnancy loss among multigravid women: a retrospective machine learning analysis from an African population cohortPatricia Nabisubi · Timothy Mwanje Kintu · Mugume Twinamatsiko Atwine · James Bumba · Lawrence Muwonge · Herbert Agasi · Davis Kiberu · Julius Okwir · Fredrick Elishama Kakembo · Daudi Jjingo · Annettee Nakimuli · Ronald GaliwangoFrontiers in Global Women's Healthdoi 10.3389/fgwh.2026.1803064
Original ResearchPublished 14 September 2026Comparative evaluation of active learning, random sampling, and deep learning for smart contract vulnerability detectionGabriel Avelino Sampedro · Cheng Yanhui · Arlene Caballero · Made Adi Paramartha Putra · Nyoman Bogi Aditya Karna · IndriatiFrontiers in Blockchaindoi 10.3389/fbloc.2026.1882027
Original ResearchPublished 1 September 2026HyperIDS: a hypergraph learning and quantum-inspired transformer ensemble framework for IoT intrusion detectionSamayank Goel · Logeswari Govindaraj · Tamilarasi Kathirvel MuruganFrontiers in Big Datadoi 10.3389/fdata.2026.1901121
Original ResearchPublished 12 August 2026DKFraudNet: a knowledge-guided adversarial learning framework for fraud user detectionYingjun Shen · Renda Shi · Kaixi Song · Yunpeng LiFrontiers in Big Datadoi 10.3389/fdata.2026.1887075
Original ResearchPublished 6 August 2026A comparative performance analysis of ensemble learning and regularized neural networks in cardiovascular risk predictionGolam Md Mohiuddin · Md Shakil Hossain · Md Shohel SayeedFrontiers in Medical Technologydoi 10.3389/fmedt.2026.1902471
Original ResearchPublished 7 July 2026Explainable HybridEnsemble approach with golden jackal optimization for AGB estimation using multi-sensor remote sensingAbraham Aidoo Borsah · Man Sing Wong · Majid Nazeer · Shao-Yuan Leu · Jin Wu · Amos P. K. Tai · Janet Elizabeth NicholFrontiers in Remote Sensingdoi 10.3389/frsen.2026.1804569
Smart GridsPublished 3 November 2025CatBoost-enhanced convolutional neural network framework with explainable artificial intelligence for smart-grid stability forecastingStephanie NessFrontiers in Smart Gridsdoi 10.3389/frsgr.2025.1617763