AMADEUS: an adaptive multi-agent system to learn a user’s recurring actions in ambient systems
Advances in Distributed Computing and Artificial Intelligence Journal, 2012 Ambient systems are characterized by their dynamics and their huge complexity.An important issue in this field is their capability to provide a relevant behaviour in order to satisfy users involved.
Valérian GUIVARCH +2 more
doaj +1 more source
SMT-based approaches to Model Checking of Distributed Broadcast Algorithms [PDF]
, 2015 The validation of distributed algorithms is a crucial, although challenging, task. The processes executing these algorithms communicate to one another, their actions depend on the messages received, and their number is arbitrary.
S. Ghilardi +3 more
core +2 more sources
Simple Synchronous and Asynchronous Algorithms for Distributed Minimax Optimization
SICE Journal of Control, Measurement, and System Integration, 2017 Synchronous and asynchronous algorithms are presented for distributed minimax optimization. The objective here is to realize the minimization of the maximum of component functions over the standard multi-agent network, where each node of the network ...
Kenta Hanada +3 more
doaj +1 more source
The Journal of Engineering, 2014 This study considers load control in a multi-residential setup where energy scheduler (ES) devices installed in smart meters are employed for demand-side management (DSM).
Emmanuel Chifuel Manasseh +3 more
doaj +1 more source
Distributed GNE-Seeking under Partial Information Based on Preconditioned Proximal-Point Algorithms
Applied Sciences, 2023 This paper proposes a distributed algorithm for games with shared coupling constraints based on the variational approach and the proximal-point algorithm.
Zhongzheng Wang +5 more
doaj +1 more source
Computing Fault-Containment Times of Self-Stabilizing Algorithms Using Lumped Markov Chains
Algorithms, 2018 The analysis of self-stabilizing algorithms is often limited to the worst case stabilization time starting from an arbitrary state, i.e., a state resulting from a sequence of faults.
Volker Turau
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Fed‐SAD: A secure aggregation federated learning method for distributed short‐term load forecasting
IET Generation, Transmission & Distribution, 2023 The distributed and privacy‐preserving attributes of fine‐grained smart grid data create obstacles to data sharing. As a result, federated learning emerges as an effective strategy for collaborative training in distributed load forecasting.
Hexiao Li +4 more
doaj +1 more source
Spectral Quantum Chemistry and Infrared Resonance Library for Data-Driven Molecular Spectroscopy
Scientific DataInfrared (IR) spectroscopy is a fundamental tool for molecular identification and characterization, yet comprehensive IR spectral databases remain limited, particularly for small organic molecules with well-defined theoretical baselines.
Anirudh Krishnadas +3 more
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JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training
IEEE Access, 2019 In 2019, around 57% of the population of the world has broadband access to the Internet. Moreover, there are 5.9 billion mobile broadband subscriptions, i.e., 1.3 subscriptions per user.
Jose A. Morell +2 more
doaj +1 more source
Identifying Patterns of Hospitalizations Among Childhood Cancer Survivors: A Population‐Based Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Childhood cancer survivors (CCSs) experience more hospitalizations than the general population. We aimed to identify distinct hospitalization patterns among Queensland CCSs and the associated characteristics. Methods Cases (aged ≤14 years) diagnosed between 1995 and 2019 while residents of Queensland were identified through the ...
Hai Pham +7 more
wiley +1 more source