Bitcoin returns and volatility are falling, leading researchers to say “values above $1 million will probably take 15 years.” ...
The exponential growth of digital financial services has created unprecedented challenges in fraud prevention and identity verification. Traditional rule-based systems struggle to keep pace with ...
Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...
Long-term Treasury yields don’t necessarily fall in the Federal Reserve’s interest-rate-cutting cycles, with history showing they sometimes rise on average, according to Deutsche Bank Research. “At ...
School of Biology and Biological Engineering, South China University of Technology, Guangzhou, Guangdong Province 510006, China School of Biology and Biological Engineering, South China University of ...
Introduction: Recent advances in artificial intelligence have created opportunities for medical anomaly detection through multimodal learning frameworks. However, traditional systems struggle to ...
Department of Breast Surgery, Key Laboratory of Breast Cancer Diagnosis and Treatment Research of Guangxi Department of Education, Guangxi Medical University Cancer Hospital, Nanning, China Background ...
Abstract: Narrowing the performance gap between optimal and feasible detection in inter-symbol interference (ISI) channels, this paper proposes to use graph neural networks (GNNs) for detection that ...
When modules are loaded with cyclic dependencies, the cycle is broken up at loadtime at the first edge that would complete the cycle (the imported symbols of that edge are undefined when read). We ...
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