An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

This project focuses on building and evaluating machine learning (ML) classification models to predict whether a person has diabetes based on medical and demographic features. It was developed as an ...

The new Instagram feature reveals what the algorithm thinks you like and lets you adjust it, reshaping how content gets recommended on Reels. Instagram launched Your Algorithm in the U.S. today, a ...

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

1 School of Software Engineering, Chengdu University of Information Technology, Chengdu, China 2 Center for Genomic and Personalized Medicine, Guangxi key Laboratory for Genomic and Personalized ...

This repository is the code implementation of the paper Fine-grained Hierarchical Crop Type Classification from Integrated Hyperspectral EnMAP Data and Multispectral Sentinel-2 Time Series: A ...

The Kennedy College of Sciences, Miner School of Computer & Information Sciences, invites you to attend a doctoral thesis defense by Madhavi Pagare on "Causal Learning-Enabled Hierarchical ...

Abstract: With the rapid development of Natural Language Processing technology and the growing demand for efficient information retrieval in the computer field, query optimization tasks have become an ...

Many modern clustering methods scale well to a large number of data items, N, but not to a large number of clusters, K. This paper introduces PERCH, a new non-greedy algorithm for online hierarchical ...

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...