MSCI released the results of the MSCI 2026 Market Classification Review. Key takeaways from this year's review include: ...

In recent months, the European Commission has continued to advance the EU AI Act framework and develop additional guidance around its ...

China issued guidelines on classifying and grading financial information service data, providing a framework to implement ...

Development of a multi-modal deep learning framework that fuses satellite, drone, and IoT sensor data for comprehensive crop health assessment. Implementation of an automated diagnostic pipeline—from ...

In the Internet of Things (IoT) field, massive quantities of smart devices are connected, producing enormous data sizes that need developed management methods. One general task in a smart environment ...

Last year, 650 million people across 30 countries visited an Ikea store, and the company’s website attracted more than 4 billion visitors. Those are staggering numbers that would make any retailer ...

A clear and consistent framework for the detection and classification of all cyclones — ranging from hurricanes and winter storms to monsoon-related events — is beneficial for the scientific research ...

Abstract: Cervical cell classification is fundamental for early cervical cancer detection. Deep convolutional neural networks (CNNs) have made great progress in enhancing the performance of cervical ...

Abstract: Visual defect classification is a critical process in manufacturing systems, aiming to achieve high-quality production and reduce costs. Although deep learning-based defect classification ...

PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...

Operational excellence remains a critical goal for organizations aiming to improve efficiency, reduce costs, and drive sustainable growth. In pursuit of these goals, many organizations are ...

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 ...