遮阳伞 发表于 2025-3-21 18:55:26
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Critical Comparison of Data Imputation Techniques at IoT Edgee. This work investigates how well-established techniques can be used for the imputation of contaminated data. We look at the performance of four algorithms for different contamination rates and error bursts of variable length. Furthermore, the algorithms are also evaluated on a constrained environm赔偿 发表于 2025-3-22 11:16:47
A Novel Approach for Calculating Real-Time Composite Indicators Relying on Internet of Things and Inave been considered to build a reliable, trusted, anonymised environment within which involved stakeholders can safely share information on the indicators while keeping sovereignty over their data. Technologies such as enhanced Context Brokers, the usage of Industrial Data Spaces agents and the intr初学者 发表于 2025-3-22 14:28:47
Using Evolving Ensembles to Deal with Concept Drift in Streaming Scenariosst, a data source would be static in the sense that all data were known at the moment of the training of the model. A model would be trained and it would be in use for relatively long periods of time. Nowadays, data arrive in real-time and their statistical properties may also change over time, rend悠然 发表于 2025-3-22 20:16:51
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A Force Field Reinforcement Learning Approach for the Observation Problemile targets. The observation problem consists in maximizing the number of viewed mobile targets by at least one agent of the mas. However, formal methods relying on . to solve this problem, such as the ., that implement observation strategies, do not adapt them to the target’s behavior. In this artiLiving-Will 发表于 2025-3-23 09:03:02
Macro Architecture for Microservices: Improving Internal Quality of Microservice Systemsn maximum flexibility for development of individual services has increased software development efficiency, the inter-service architecture of microservice-based systems has received little attention, resulting in systems with a multitude of confounding and poorly planned interactions between service