Abstract: Deploying microservices on the cooperative edge computing system greatly shortens the interaction delay between users and service and alleviates the traffic burden on the backbones, which ...

Abstract: The job-shop scheduling problem (JSSP) is one of the best-known combinatorial optimization problems and is also an essential task in various sectors. In most real-world environments, ...

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Graph neural networks (GNNs) are rapidly advancing progress in ML for complex graph data applications. I've composed this concise recipe (i.e., studysheet) dedicated to students who are lookin to ...

The exponential growth in data traffic, driven by 5G/6G rollout, cloud computing, real-time applications, and massive IoT ...

At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...

Demonstrating academic excellence and a strong interest in AI-related domains, seven students of Computer Science Engineering ...

Image courtesy by QUE.com As we navigate the landscape of 2026, we find ourselves no longer merely using Machine Learning (ML) but ...

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features ...

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