IEEE

Feature-Driven Density Prediction of Maraging Steel Additively Manufactured Samples Using Pyrometer Sensor and Supervised Machine Learning

Abstract: Laser Powder Bed Fusion (LPBF) is a revolutionizing additive manufacturing (AM) that melts the powder particles to create innovative products, but it faces substantial challenges in ...
SciELO

Predicting bond strength between steel reinforcement and concrete materials using machine learning with Bayesian optimization techniques

Predicting the adhesive force between steel reinforcement and concrete is crucial as it influences stress distribution and the overall mechanical behavior of reinforced concrete. This study proposes a ...
IEEE

A Two-Stage Machine Learning Framework for Predicting and Validating the Structural and Beam Characteristics of a Wideband Switched-Beam Antenna

Abstract: This paper presents a two-phase machine-learning (ML)-based approach for the design and performance forecasting of a wideband circular microstrip switched-beam antenna operating at the 2.6 ...
GitHub

pls-sem

Analysis of factors influencing students' intention and actual use of Google Classroom using the Extended Technology Acceptance Model (TAM) with PLS-SEM and SmartPLS. Analysis of factors influencing ...
T3

I gave the AeroPress Clear five stars but its new steel upgrade could bump it up even higher

AeroPress has launched the AeroPress Steel, a new 18/8 stainless steel version of its popular portable coffee maker. The AeroPress Steel is currently available in the US with a UK release date ...
SciELO

Machine learning based QSAR and Molecular Dynamics simulations in the structural design and mechanism of action of imidazole derivatives with anti-melanoma activity

Cancer is defined as a group of diseases in which abnormal cells multiply and can invade other organs, requiring continuous studies for new drugs. A series of 177 imidazo[1,2-a]pyridine and ...
Scientific Research Publishing

Su, G., Sun, W. and Zhao, Y. (2023) Machine Learning Classifier-Based Dynamic Surrogate Model for Structural Reliability Analysis. Structure and Infrastructure Engineering, 21 ...

ABSTRACT: Surrogate-assisted evolutionary algorithms are widely used to solve expensive optimization problems due to their high search efficiency. However, a single model struggles to fit various ...
northpennnow

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...