Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...
Mahi’s research attempts to solve one of robotics’ hardest problems: collecting enough real-world data to make robots useful in homes ...
Nearly every cell in your body depends on mitochondria to survive and function properly. Mitochondria provide 90% of our bodies' energy, but less well-known are their roles in cellular signaling and ...
Abstract: This paper provides a systematic overview of machine learning methods applied to solve NP-hard Vehicle Routing Problems (VRPs). Recently, there has been great interest from both the machine ...
Abstract: This research intends to create a novel approach for solving fractional differential equations (FDEs) of both linear and nonlinear types utilizing the fractional shifted Legendre neural ...
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Solving optimization problems is challenging for existing digital computers and even for future quantum hardware. The practical importance of diverse problems, from healthcare to financial ...
Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...
Combinatorial Optimization Problems (COPs) are prevalent in our daily lives, from route searching to optimal placement or optimization of scheduling. Solving these problems effectively can lead to ...
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