This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...
Harnessing the muscle of one of the world's fastest supercomputers, researchers have built one of the largest and most ...
Space manipulators play an important role in the on-orbit services and planetary surface operation whose reliability is a key issue. In the extreme environment of space, space manipulators are ...
Artificial intelligence (AI) is set to transform the care of women with cancer. From early detection via digital phenotyping ...
Manas Ranjan Panda, a global banking technology partner, leads change through AI research focused on regulatory compliance, ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
The next generation of engineers and scientists is moving beyond conventional computing to master interdisciplinary fields.
With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...
As machine learning (ML) techniques gain prominence in power system research, validating these methods’ effectiveness under real-world conditions requires real- ...
CMTS-GNN: A Cross-Modal Temporal-Spectral Graph Neural Network with Cognitive Network Explainability
The final, formatted version of the article will be published soon. Infantile spasms (IS) are a severe epileptic encephalopathy of early infancy. Delayed or inaccurate detection is linked to adverse ...
Abstract: Graph Neural Networks (GNNs) have gained popularity in numerous domains, yet they are vulnerable to backdoor attacks that can compromise their performance and ethical application. The ...
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