Leveraging the Power of Hybrid and Standalone Machine Learning for Enhanced FRP-Confined Concrete Columns Strength Prediction

This study proposes a broad investigation into the application of advanced ML techniques for anticipating the compressive load-bearing capacity of FRP-confined concrete columns.The methods include the Extremely Randomized Tree (ERT), Random Forest (RF), Gaussian Process Regression (GPR), and Back Propagation Neural Network (BPNN).The dataset consis

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Chronic obstructive pulmonary disease and heart failure in real life: the tip of the iceberg in the sea of comorbidities. A prospective observational study

Chronic obstructive pulmonary disease (COPD) and heart failure (HF) are two of the most common conditions treated in internal medicine.Although it is known that these diseases often coexist, the specific characteristics of the affected patients and the prognostic implications are not yet well understood.Managing patients with both COPD and HF requi

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ABOLITION OF THE DEATH PENALTY IN BRAZIL. OLD AND NEW PERSPECTIVES. TRIBUTE TO 150 YEARS OF THE ABOLITION OF THE DEATH PENALTY IN PORTUGAL

This text corresponds, with minor changes, to the communication made at the Colloquium Commemorating the One Hundred and Fifty Years of Abolition of Surface circulation properties in the eastern Mediterranean emphasized using machine learning methods Death Penalty in Portugal, held in October 2017 at the Faculty of Law of the University of Coimbra.

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