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Scientific Reports|August 21, 2024
A comparison between machine and deep learning models on high stationarity dataDomenico Santoro, Tiziana Ciano, Massimiliano Ferrara
Best Practice & Research. Clinical Endocrinology & Metabolism|November 3, 2015
Inherited defects of thyroxine-binding proteinsTheodora Pappa, Alfonso Massimiliano Ferrara, Samuel Refetoff
Plos One|October 27, 2025
MONTUR project: Dataset for understanding and forecasting tourist flowsMarco Alderighi, Tiziana Ciano, Massimiliano Ferrara, et al.
Plos One|May 6, 2026
Enhanced tourist flow forecasting in Aosta Valley: A novel ensemble AI framework with adaptive temporal dynamicsMarco Alderighi, Tiziana Ciano, Massimiliano Ferrara, et al.
Scientific Reports|May 20, 2021
Prediction of velocity profile of water based copper nanofluid in a heated porous tube using CFD and genetic algorithmTiziana Ciano, Massimiliano Ferrara, Meisam Babanezhad, et al.
The Journal of Clinical Endocrinology and Metabolism|May 2, 2013
Coexistence of THRB and TBG gene mutations in a Turkish familyAlfonso Massimiliano Ferrara, Mehtap Cakir, Phillip H Henry, et al.
Scientific Reports|September 18, 2024
Intelligent cardiovascular disease diagnosis using deep learning enhanced neural network with ant colony optimizationBiao Xia, Nisreen Innab, Venkatachalam Kandasamy, et al.
Entropy (Basel, Switzerland)|December 3, 2020
Entropy of Reissner-Nordström 3D Black Hole in Roegenian EconomicsConstantin Udriste, Massimiliano Ferrara, Ionel Tevy, et al.
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