Is ML Useful In Integration? You may (still) be wondering whether any of this stuff is actually useful in real-world ...

There are numerous factors that affect the cost of a cervical disc replacement, and researchers used a machine learning model to analyze key variables for a stu ...

In a leap for urban ecology, researchers have unveiled a cutting-edge method to dynamically estimate seasonal tree heights in ...

Important Topics: The GATE 2025 Data Science and Artificial Intelligence (DA) exam is a specialised paper introduced to ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random neighborhoods ...

This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques ...

This repository contains R projects focused on statistical analysis, using techniques like EDA, Hypothesis Testing, ANOVA, Normalization, and Linear Regression. Each project includes datasets, R ...

Intelligent Transportation Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511455, China Department of Civil and Environmental Engineering, The Hong Kong ...

Department of Engineering Physics, McMaster University, 1280 Main Street West, L8S 4L8 Hamilton, Ontario, Canada School of Biomedical Engineering, McMaster University, 1280 Main Street West, L8S 4L8 ...

In this paper, we propose an optimal dynamic output feedback learning control approach to solve the LQR problem of linear continuous-time systems with unknown dynamics. In particular, we propose a ...

As nuclear energy ramps up to move towards decarbonization goals, machine learning and AI techniques offer potential to speed up new reactor design and improve safety of the existing fleet. However, ...