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The Process of Using Power Supply Technical Solutions for Electronic Security Systems Operated in Smart Buildings: Modelling, Simulation and Reliability Analysis
Published 2024-12-01“…The operational tasks of ESSs in SBs require a continuous power supply from various sources, including renewable energy sources. The authors conducted an analysis of the power supply for selected ESSs used in SBs, which enabled the development of a power supply model. …”
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Segmentation-Based Detection for Luffa Seedling Grading Using the Seg-FL Model
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163
Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP...
Published 2025-09-01“…Furthermore, the proposed SWO-SRNN was trained using the selected features to predict the ground temperature and Coefficient of Performance (COP), which enables to make appropriate actions to optimize the functioning of GSHP. …”
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164
Metal surface defect detection using SLF-YOLO enhanced YOLOv8 model
Published 2025-04-01“…Abstract This paper addresses the industrial demand for precision and efficiency in metal surface defect detection by proposing SLF-YOLO, a lightweight object detection model designed for resource-constrained environments. …”
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Analysis of the Relationship Between Assimilate Production and Allocation and the Formation of Rice Quality
Published 2025-05-01“…Correlation analysis indicated that dry matter mass and net photosynthetic rate were significantly positively correlated with yield, but not with taste quality, highlighting the complexity of taste quality formation. Using a membership function comprehensive evaluation method (combines the outputs of multiple membership functions into a single composite value using specific rules (e.g., weighted average, extremum, logical operations) to produce a new membership degree.), a rice variety selection system balancing yield and quality was constructed, and three varieties (Zhongzheyou 8, Huazheyou 261, and Quanyousimiao) were identified as having both high yield and excellent quality. …”
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FRB Line-of-sight Ionization Measurement from Lightcone AAOmega Mapping Survey: The First Data Release
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171
Multi-objective optimization models for power load balancing in distributed energy systems
Published 2025-08-01“…Uncertainty and several competing criteria on the demand and generation sides make multi-objective optimization difficult. Selecting a model capable of resolving scheduling issues related to loads and dispersed energy sources is, therefore, essential. …”
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172
Regional-Scale Energy Modelling for Developing Strategies to Achieve Climate Neutrality
Published 2025-04-01“…In the framework of analysis, the 3E (Energy–Economy–Environment) class optimisation model was developed. The objective function includes the costs of energy in the medium and long term. …”
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Ecological processes influencing bacterial community assembly across plant niche compartments
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An Optimized FPGA-Based FDIR System for Sensor Fault Detection in Satellite Attitude Estimation
Published 2025-01-01“…To solve this problem, a Fault Detection, Isolation, and Recovery (FDIR) was proposed, which integrates an adaptive unscented Kalman filter (AUKF), a radial basis function (RBF) neural network for fault detection, and a QUEST-based estimator. …”
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Integrating green hydrogen storage into mine water pumping stations in the context of energy transition
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179
Forecasting Electricity Production in a Small Hydropower Plant (SHP) Using Artificial Intelligence (AI)
Published 2024-12-01“…This article devises the Artificial Intelligence (AI) methods of designing models of short-term forecasting (in 12 h and 24 h horizons) of electricity production in a selected Small Hydropower Plant (SHP). Renewable Energy Sources (RESs) are difficult to predict due to weather variability. …”
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Design and Validation of a Lightweight Entropy-Based Intrusion Detection Algorithm for Automotive CANs
Published 2025-06-01“…Experimental results demonstrate robust performance under low computational resources, achieving high detection accuracy with high recall (>80%) even at 10% bus load fluctuation thresholds. …”
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