An implementation of a recommender system based on clustering anime user ratings ...

To this end, we propose a Hierarchical Federated Learning Framework for Object Detection (HFL-OD) to enhance the robustness of UAV cluster conducting object detection missions. In HFL-OD, UAVs are ...

MAIN CONCLUSIONS The use of agglomerative hierarchical clustering, a novel application of a non-supervised algorithm in this context, highlighting the integration of multiple epidemiological and ...

When you log into social media, do you decide what to see, or is your feed dictated by an algorithm? Shopping online, do you browse freely or focus on top-listed, AI-suggested items? If you’re ...

To address this, we propose the Hierarchical Progressive Learning (HPL) framework. With the help of protein pre-trained language models, HPL learns sequence patterns from universal proteins to ...

To make our method widely available, we implemented SAVEMONEY on GoogleColab and have made code available on GitHub ... The pre-survey and the post-analysis algorithms are implemented with Python, and ...

and hierarchical agglomerative cluster analysis, to achieve the classification goal. In this paper, according to their responses, we introduce a spectral clustering algorithm (SCA) to cluster ...