News
Cross-Dataset Representation Learning for Unsupervised Deep Clustering in Human Activity Recognition
As a result, classification performance is frequently suboptimal. To address this limitation, we propose leveraging an autoencoder integrated with models pre-trained on diverse HAR datasets to extract ...
An artificial intelligence (AI)-based model accurately classified pediatric sarcomas using digital pathology images alone, ...
The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...
The Carnegie Foundation for the Advancement of Teaching and the American Council on Education debut a new classification system focused on student success. As widespread public skepticism about the ...
An interdisciplinary research team has unveiled the world's first artificial intelligence (AI) model designed to classify ...
Although the definition of acute respiratory distress syndrome (ARDS) has undergone numerous revisions aimed at enhancing its diagnostic accuracy and clinical practicality, the usefulness and ...
Tech Xplore on MSN6d
'Periodic table of machine learning' framework unifies AI models to accelerate innovationMIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...
Artificial intelligence can help urologists and oncologists make treatment recommendations that are objective and evidence-based.
Saudi Arabia Generative AI Market – Industry Trends & Forecast Report, 2030 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback