Rapid penetration of AI in industries is enhancing its ability and making it smarter and more efficient. This, in turn, is ...

A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...

Key Takeaways Machine learning is becoming essential for various industries, and having knowledge of it is crucial for ...

In an effort to equip aspiring technologists and researchers with cutting-edge skills, Jamia Millia Islamia (JMI) has ...

While diverse machine learning algorithms find utility in various branches of physics, there exists a need for a systematic framework for the application of Machine Learning to the field. This review ...

However, monitoring such tall structures for a long term faces various difficulties. Therefore, Machine Learning algorithm applications in Structural Health Monitoring have overcome the difficulty in ...

Modern RF design software integrates AI automation, cloud HPC, and multi-technology workflows to address 5G/6G demands and ...

In this paper, various supervised machine learning algorithms are implemented. Among many ML techniques, classification is a widely used one. This paper uses various supervised learning algorithms, ...

Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India. Using machine learning models to predict ...

Next, you’ll dive into the world of causal effect estimation, consistently progressing towards modern machine learning methods. Step-by-step, you’ll discover Python causal ecosystem and harness the ...

algorithm and the extreme learning machine (ELM), is proposed in this study, and the stresses of AZ80 magnesium alloy are predicted by the model through a 812-record dataset. The predicting results ...