High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv 6997801, Israel Center for Physics and Chemistry of Living Systems, Tel Aviv University, Tel Aviv 6997801, ...

We then select the next smallest element in the array, which is 3. 3 is already in the correct position, so we don't need to swap it. We then select the next smallest element in the array, which is 4.

ABSTRACT: Background: Chronic pain management presents significant challenges in clinical practice, particularly in selecting pharmacological treatments that balance efficacy and safety. GABAergic and ...

Background: Channel selection has become the pivotal issue affecting the widespread application of non-invasive brain-computer interface systems in the real world. However, constructing suitable multi ...

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Abstract: The main idea of Optimized Selection Sort Algorithm (OSSA) is based on the already existing selection sort algorithm, with a difference that old selection sort; sorts one element either ...

Abstract: This paper describes a hybrid sorting which is the combination of radix sort and selection sort on graphic processing unit (GPU). The proposed algorithm is based on “Split and Concurrent ...