Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

New Iterative Block Particle Filter algorithm makes genomic surveillance faster, cheaper and more scalable, improving early ...

Abstract: Wireless networked control systems (WNCS) offer great potential for revolutionizing the industrial automation by enabling wireless coordination between sensors, decision centers, and ...

Abstract: Computing Power Network (CPN), as an integration of heterogeneous computing resources, has turned to be difficult to cope with the rapid growth of end users and strict task delay constraints ...

AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...

Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools ...

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ACFM ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction Pytorch ACM MM2018/A STDN Revisiting spatial-temporal similarity: A deep learning framework for traffic prediction Keras AAAI2019/A ...

I am Professor in the Industrial Engineering and Operations Research department at Columbia University. I received my PhD in Algorithms, Combinatorics and Optimization (ACO) in 2008 from Tepper School ...

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In the absence of this valuable resource, staying up-to-date with the latest research papers in this field has become challenging. Consequently, I created a repository aimed at aggregating and ...