[HTML][HTML] Detection of hyperpartisan news articles using natural language processing technique

NR Naredla, FF Adedoyin - International Journal of Information …, 2022 - Elsevier
Yellow journalism has increased the spread of hyperpartisan news on the internet. It is very
difficult for online news article readers to distinguish hyperpartisan news articles from …

An air pollutant forecast correction model based on ensemble learning algorithm

J Ma, X Ma, C Yang, L **e, W Zhang, X Li - Electronics, 2023 - mdpi.com
In recent years, air pollutants have become an important issue in meteorological research
and an indispensable part of air quality forecasting. To improve the accuracy of the Chinese …

An ensemble-based framework for sophisticated crop classification exploiting Google Earth Engine

Y Lv, W Feng, S Wang, S Wang, L Guo, G Dauphin - Remote Sensing, 2024 - mdpi.com
Corn and soybeans play pivotal roles in the agricultural landscape of the United States, and
accurately delineating their cultivation areas is indispensable for ensuring food security and …

[PDF][PDF] Object Detection and Segmentation for Scene Understanding via Multi Features and Random Forest

BR Chughtai, A Jalal - researchgate.net
In recent days, object detection become a vast topic in computer vision. Accurate object
detection and scene understanding is not an easy task due to illumination, viewpoints, and …

Environmental monitoring with the help of Internet of Things (loT) and machine learning

MS Alam, F Ahsan, A Sarker - 2020 - dspace.bracu.ac.bd
In recent day situation, the non-stop increase in air and noise pollution can be an enormous
direful downside for our country. It has become an obligatory to manage and ttingly monitor …