At present, target detection algorithms in this field are generally limited to processing single-temporal remote sensing data, and they cannot obtain satisfactory results when the spectra of target ...

Abstract: Efficient utilization of cooperating robots in the assembly of aircraft structures relies on balancing the workload of the robots and ensuring collision-free scheduling. We cast this problem ...

The Master of Information and Data Science (MIDS) is an online degree preparing data science professionals to solve real-world problems. The 5th Year MIDS program is a streamlined path to a MIDS ...

An intensive laboratory activity will complement the lectures. Students will experiment with algorithms and data structures by writing their own implementations or by using third-party libraries. The ...

Their proposed method, outlined in a paper published in Nature Machine Intelligence, was found to be significantly more powerful than classical data compression algorithms. "In January 2023, when I ...

Subject-specific Skills: On completion of the module, students will be able to demonstrate: an ability to implement and use common data structures an ability to select, apply and analyse algorithms.

Johannes has a MSci in Neuroscience from King’s College London and serves as the Managing Director at IFLScience.

The present study aimed at comparing predictive performance of some data mining ... and RBF algorithms were carried out using IBM SPSS 23, but MARS algorithm was specified by STATISTICA program (8.0 ...

Generic single-file implementations of AVL tree in C and C++ suitable for deeply embedded systems. There is little activity because the project is finished.

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