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1ENG Signal Theory and Communications-ESEKO
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Articles
from 2025
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2025
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A Modular and Scalable Approach to Hybrid Battery and Converter Integration for Full-Electric Waterborne Transport
Journal of Marine Science and Engineering, Vol. 13, Núm. 1
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A hybrid probabilistic battery health management approach for robust inspection drone operations
Engineering Applications of Artificial Intelligence, Vol. 146
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A probabilistic risk assessment framework for the impact assessment of extreme events on renewable power plant components
Renewable Energy, Vol. 240
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An interpretable operational state classification framework for elevators through convolutional neural networks
Computer-Aided Civil and Infrastructure Engineering, Vol. 40, Núm. 17, pp. 2464-2479
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Assessing heavy maintenance alternatives for floating offshore wind farms: Towing vs. onsite replacement strategies
Applied Energy, Vol. 377
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Comparative analysis and evaluation of ageing forecasting methods for semiconductor devices in online health monitoring
Engineering Applications of Artificial Intelligence, Vol. 150
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Dynamics of retinal changes in early-stage Parkinson's disease
Acta neuropathologica communications, Vol. 13, Núm. 1, pp. 20
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EM Simulation, Implementation and Performance Evaluation of a Varactor-Based Reconfigurable Intelligent Surface
IEEE Open Journal of the Communications Society, Vol. 6, pp. 8835-8850
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Improving the Performance of DVB-T2 in High-Speed Train Communication Systems
Engineering, Technology and Applied Science Research, Vol. 15, Núm. 2, pp. 21356-21365
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Residual-based attention Physics-informed Neural Networks for spatio-temporal ageing assessment of transformers operated in renewable power plants
Engineering Applications of Artificial Intelligence, Vol. 139
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Scalable Mixed-Criticality Safety Concepts for a Stationary Battery Management System (BMS) With Integrated Machine Learning (ML)
IEEE Access, Vol. 13, pp. 59811-59825
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Towards Resilient CACC Systems for Automated Vehicles
IEEE Open Journal of Intelligent Transportation Systems
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Transformer OLTC Operation Monitoring Framework Through Acoustic Signal Processing and Convolutional Neural Networks
IEEE Transactions on Instrumentation and Measurement, Vol. 74