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This paper describes a modified term-frequency/inverse document-frequency model together with a modified adaptive resonance theory algorithm, ...
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The paper is devoted to an overview of multi-agent principles, methods, and technologies intended to adaptive real-time data clustering.
A SA-greedy algorithm that can change the probability of random exploration by agents ... A Clustering-Based Coverage Path Planning Method for Autonomous ...
Dec 29, 2021 · This research proposes an approximation method for reducing the solution space of n-ICOP. Given a specific constraint on computational resources ...
Jul 4, 2024 · The paper is devoted to an overview of multi-agent principles, methods, and technologies intended to adaptive real-time data clustering.
This paper presents a parallel adaptive clustering (PAC) algorithm to automatically classify data while simultaneously choosing a suitable number of classes ...
Missing: autonomous | Show results with:autonomous
A Decentralised Adaptive Clustering (DAC) algorithm for self-monitoring impact sensing networks is presented within the context of CSIRO-NASA Ageless Aero ...
Feb 4, 2022 · In the personalization framework, we introduce a natural algorithm where, the personal bandit instances are initialized with the estimates of ...
Oct 30, 2023 · To solve these problems, we propose to agentify the clusters and allow them to fuse and evolve locally and autonomously. This work presents ...
Recently, a multi-agents system has been discussed in the field of adaptive control. An autonomous clustering is considered to be a multiple agents system ...