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) ...
Abstract: These days, intrusion detection systems are one of the newest trends in society. These technologies serve as a defense against a variety of security breaches, the number of which has been ...
This project predicts whether a passenger survived the Titanic disaster using supervised machine learning techniques. The problem is treated as a binary classification task where the target variable ...
A washable, stretchable fabric sensor embedded directly into clothing can recognize yoga postures with 94.4% accuracy, ...
Researchers developed a washable textile-based IDC strain sensor that tracked yoga-inspired movements with 94.4% record-level ...
In this project, we have used various natural language processing techniques and machine learning algorithms to classify fake news articles using sci-kit libraries from python. The data source used ...
Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...
Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...
SINGAPORE – A registry of artificial intelligence agents is being developed for 150,000 public officers in Singapore to use cutting-edge AI in their work without compromising data security. This ...
Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...
Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Speyerer Strasse 6, 69115 Heidelberg, Germany, FOM-AMOLF, ...
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