This tutorials is part of a three-part series: * `NLP From Scratch: Classifying Names with a Character-Level RNN <https://pytorch.org/tutorials/intermediate/char_rnn ...

ABSTRACT: High-quality data is essential for hospitals, public health agencies, and governments to improve services, train AI models, and boost efficiency. However, real data comes with challenges: ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

Abstract: Text classification is a popular task of natural language processing. At present, text classification has been applied to multiple language like English, Chinese, Arabic et.al. However, ...

This tutorial outlines a complete workflow for classifying cropland land cover using Landsat 8 imagery and version 2.3.2 of the Semi-Automatic Classification Plugin (SCP) for QGIS. The study area is ...

Abstract: This paper is concerned with adopting an RNN (Recurrent Neural Network)-based channel classification technique for improving the robustness of speech recognition over GSM (Global System for ...