Mini ReviewPublished 4 May 2026Explainable artificial intelligence approaches in cardiovascular imaging: methodological advances and clinical implicationsWentao Yan · Rui Sun · Li ShenFrontiers in Signal Processingdoi 10.3389/frsip.2026.1797749
Original ResearchPublished 23 April 2026Interpretable vision mamba for SAR images classificationKaiming Zou · Ningbo He · Leijun Yao · Jialin Li · Yongfeng WangFrontiers in Neuroroboticsdoi 10.3389/fnbot.2026.1753927
MethodsPublished 15 April 2026BrainInsights: a comprehensive framework for pre-processing, analysis, and interpretation of neuroimaging data using traditional statistics and machine learningMageshwar Selvakumar · Andrea Mendez Torrijos · Laura Cristina Konerth · Stefanie Horndasch · Raja Atreya · Arnd Doerfler · Georg Schett · Juergen Rech · Andreas HessFrontiers in Neuroinformaticsdoi 10.3389/fninf.2026.1760583
Original ResearchPublished 1 April 2026Spectrum prediction improvement with phenomenological statistical learningZijian ZhangFrontiers in Nanotechnologydoi 10.3389/fnano.2026.1766020
Original ResearchPublished 12 March 2026CBAM-enhanced lightweight CNN for wafer map defect classificationMst. Rokeya Khatun · Fahmid Al Farid · Sharith Dhar · Md. Saiful Islam · Jia Uddin · Hezerul bin Abdul KarimFrontiers in Electronicsdoi 10.3389/felec.2026.1750707
Original ResearchPublished 28 January 2026Autonomous federated defense for zero-day threats in IIoT: explainable agents with real-time edge inferenceWilliam Villegas-Ch · Rommel Gutierrez · Jaime Govea · Pablo PalaciosFrontiers in Communications and Networksdoi 10.3389/frcmn.2025.1697204
Original ResearchPublished 26 January 2026Computational reconstruction of evolutionary selection in human brain networksLukasz Piszczek · Clara Fazzari · Sophia Ulonska · Katja Bühler · Wulf HaubensakFrontiers in Neuroinformaticsdoi 10.3389/fninf.2025.1623174
Original ResearchPublished 1 December 2025Ensembles of physics-enhanced neural networks for the prediction of critical heat flux in nuclear reactors and the quantification of its uncertaintyNicola PedroniFrontiers in Nuclear Engineeringdoi 10.3389/fnuen.2025.1692182
SensorsPublished 5 September 2025Machine learning pipeline for microparticle size classification in self-mixing interferometric signals for flow cytometrySebastián Sierra-Alarcón · Julien Perchoux · Clément Tronche · Francis Jayat · Adam QuotbFrontiers in Sensorsdoi 10.3389/fsens.2025.1662060
the Internet of ThingsPublished 4 September 2025Securing the future: AI-driven cybersecurity in the age of autonomous IoTFabian Chukwudi Ogenyi · Chinyere Nneoma Ugwu · Okechukwu Paul-Chima UgwuFrontiers in the Internet of Thingsdoi 10.3389/friot.2025.1658273
Analytical SciencePublished 24 May 2024A retrospective view on non-linear methods in chemometrics, and future directionsFrank Westad · Geir Rune FlåtenFrontiers in Analytical Sciencedoi 10.3389/frans.2024.1393222
Biomaterials SciencePublished 3 April 2024A review on machine learning approaches in cardiac tissue engineeringNikhith Kalkunte · Jorge Cisneros · Edward Castillo · Janet ZoldanFrontiers in Biomaterials Sciencedoi 10.3389/fbiom.2024.1358508
Digital HumanitiesPublished 26 June 2018Principal Component Approximation and Interpretation in Health Survey and Biobank DataYi-Sheng Chao · Hsing-Chien Wu · Chao-Jung Wu · Wei-Chih ChenFrontiers in Digital Humanitiesdoi 10.3389/fdigh.2018.00011
ICTPublished 19 April 2018Using Spatial Reinforcement Learning to Build Forest Wildfire Dynamics Models From Satellite ImagesSriram Ganapathi Subramanian · Mark CrowleyFrontiers in ICTdoi 10.3389/fict.2018.00006