Abstract: The multi-armed bandit framework is a wellestablished learning paradigm that enables sequential decisionmaking under uncertainty. This framework has been widely applied in various domains, ...
Abstract: In modern automotive zonal electrical/electronic architectures, Time-Sensitive Networking (TSN) serves as the communication backbone, while Controller Area Network (CAN) operates as regional ...
Abstract: To realize a fault-tolerant quantum computer, a quantum error decoder that can handle a large number of qubits with high speed is required. This paper ...
Abstract: The exponential growth of data has brought full-size challenges in corporation and management. Cloud computing, with its scalability and value-performance, has become critical for data ...
Abstract: In this paper, a greedy initialization-based genetic algorithm is proposed for unit-norm tight frame sampling design in spherical near-field measurements. Since the optimization criterion ...
Abstract: This paper discusses high-performance in data recovery in cloud systems using automated snapshot and idea of greedy algorithms when there is disaster. The given methodology will be oriented ...
Abstract: Beam hopping (BH) technology is crucial for improving resource efficiency in next-generation Space-Air-Ground integrated systems. This paper proposes a cluster-based greedy BH strategy to ...
Abstract: Smart city traffic management relies increasingly on UAV-assisted edge computing systems to process real-time data and make informed decisions. A critical challenge in these systems is the ...
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