Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

Abstract: In modern power systems, with a growing integration of inverter-based resources, small-signal stability is becoming increasingly important. However, current practice in operation and ...

Abstract: In this paper, we utilized machine learning (ML) algorithms to optimize Maximum Power Point Tracking (MPPT) in photovoltaic systems. Predicting the optimal voltage is important as, at that ...

1 Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh 2 Division of Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, Sweden ...

This video is a one stop shop for understanding What is linear regression in machine learning. Linear regression in machine learning is considered as the basis or foundation in machine learning. This ...

Scientists have developed a problem-solving architecture modeled on neurobiology that leverages quantum mechanical behavior to guarantee optimal solutions to complex problems. It's easy to solve a 3x3 ...

1 Shangwan Coal Mine, Ejin Horo Banner, Ordos, China 2 CCTEG Xi’an Research Institute Co. Ltd., Xi’an, China This study introduces an XGBoost-MICE (Multiple Imputation by Chained Equations) method for ...

The Cipher Machine is a puzzle you’ll find in Indiana Jones and the Great Circle’s Himalayas during “A Harsh Climb.” As you climb through the frozen KMS Kummetz, you’ll eventually reach the Officer ...

Google has updated its machine learning crash course with new videos and modules on large language models and automated machine learning. These courses are useful introductions to the technologies ...