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Exploring the impact resistance performance of RC beams based on an enhanced interpretable automated machine learning approach
DL Zou, JL Teng, L Xu - Structures, 2024 - Elsevier
The analysis and improvement of the maximum displacement of reinforced concrete (RC)
beams under impact loads are pivotal in augmenting their impact resistance. The present …
beams under impact loads are pivotal in augmenting their impact resistance. The present …
A framework for prediction of extrusion responses using machine learning algorithm
The objective of the present study is to develop a Customized Automated Machine Learning
(CAML) framework to support machine learning models in manufacturing processes. The …
(CAML) framework to support machine learning models in manufacturing processes. The …
[PDF][PDF] Semi-Supervised Learning: Assisted Cardiovascular Disease Forecasting using Self-Learning Approaches
Cardiovascular diseases (CVDs) are characteristics that affect both the heart and the blood
vessels. This disease is the main factor contributing to the greatest number of deaths …
vessels. This disease is the main factor contributing to the greatest number of deaths …
[PDF][PDF] ECG Biometric Verification Incorporating Different Physiological Conditions
SNAM Azam, KA Sidek, AKY Dafhalla - researchgate.net
The liveness detection criteria of biological signals have become one of the reasons it has
been introduced as an ideal biometric recognition system. Electrocardiogram (ECG) is one …
been introduced as an ideal biometric recognition system. Electrocardiogram (ECG) is one …