Abstract: This paper proposes a Cascaded Random Forest (CRF) method, which can improve the classification performance by means of combining two different enhancements into the Random Forest (RF) ...

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...

Researchers developed a washable textile-based IDC strain sensor that tracked yoga-inspired movements with 94.4% record-level ...

A global comparison of ten satellite-based forest datasets found striking disagreement about where forests are located, with only about a quarter of mapped forest area recognized by all sources.

Service-based organizations may handle thousands of customer emails daily, placing a significant burden on IT help desks, customer service organizations, and other departments involved in reading, ...

A new study uncovers a critical challenge in accurately classifying precipitation as rain or snow using surface weather data. Accurately identifying precipitation phase is critical for weather ...

Measurement of Completeness and Timeliness of Linked Electronic Health Record Pharmacy Data for Early Detection of Nonadherence to Breast Cancer Adjuvant Endocrine Therapy Using clinical data from ...

We analyzed 4,427 patients with MDS divided into training and validation cohorts. Deep learning methods were applied to integrate and impute clinical/genomic features. Clustering was performed by ...