The Cyber-Physical System (CPS) nowadays relates to many commercialized and popularized technologies such as the Internet of Things (IoT, IIoT), ...
Abstract: This paper proposes a real-time dynamic optimization algorithm and controller design for a multi-node UAV-based distributed communication system, leveraging the phase and energy ...
Sanjeev Kumar, Head of Data and Infrastructure at Rome Protocol, and a recognized leader in Digital Infrastructure and Systems Engineering. Urban mobility in major metro areas operates at a scale ...
General-purpose AI models, as useful as they are, can still struggle with complicated tasks that require deep knowledge and tight integration with business systems. Take supply chain as an example: ...
RNN-DAS is an innovative Deep Learning model based on Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) cells, developed for real-time Volcano-seismic Signal Recognition (VSR) using ...
Abstract: The growing volume of performance-critical parameters in distributed storage systems, coupled with diverse and dynamic workload patterns, has significantly increased the complexity of system ...
With the widespread integration of high-penetration renewable energy, load volatility and spatio-temporal imbalances in power systems have intensified, imposing higher demands on real-time ...
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SereneDB unifies Elasticsearch-like search and ClickHouse-like analytics in a single, powerful, Postgres-compatible database. We are building the world’s first distributed, real-time search database — ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
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