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Within the scope of the ongoing efforts to fight climate change, the application of multi-robot systems to environmental mapping and monitoring missions is a prominent approach aimed at increasing exploration efficiency.
Chiara Ercolani +2 more
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Information-Driven Gas Distribution Mapping for Autonomous Mobile Robots
The ability to sense airborne pollutants with mobile robots provides a valuable asset for domains such as industrial safety and environmental monitoring.
Andres Gongora +5 more
doaj +1 more source
Determining the network size is a critical process in numerous areas (e.g., computer science, logistic, epidemiology, social networking services, mathematical modeling, demography, etc.).
Martin Kenyeres, Jozef Kenyeres
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A distributed parallel optimization algorithm via alternating direction method of multipliers
Alternating direction method of multipliers (ADMM) has been widely used for solving the distributed optimisation problems. This paper proposes a novel distributed ADMM algorithm to solve the distributed optimisation problems consisting of convex cost ...
Ziye Liu +3 more
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This paper investigates the distributed fault detection problem for linear discrete time-varying heterogeneous multi-agent systems under relative output information.
Peilu Zou, Ping Wang, Chengpu Yu
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Finding sources of airborne chemicals with mobile sensing systems finds applications across safety, security, environmental monitoring, and medical domains.
Faezeh Rahbar +2 more
doaj +1 more source
With a constant increase in the number of deployed satellites, it is expected that the current fixed spectrum allocation in satellite communications (SATCOM) will migrate towards more dynamic and flexible spectrum sharing rules.
Irfan Jabandžić +6 more
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Stochastic self-assembly provides promising means for building micro-/nano-structures with a variety of properties and functionalities. Numerous studies have been conducted on the control and modeling of the process in engineered self-assembling systems ...
Bahar Haghighat +4 more
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Two‐stage personalized federated learning based on sparse pretraining
Aiming at solving the performance degradation of federated learning (FL) under heterogeneous data distribution, personalized FL (PFL) was proposed. It is designed to produce a dedicated model for each client.
Tong Liu +6 more
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Efficient data aggregation is crucial for mobile wireless sensor networks, as their resources are significantly constrained. Over recent years, the average consensus algorithm has found a wide application in this technology.
Martin Kenyeres, Jozef Kenyeres
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