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141
Polarization-Independent Two-Layer Grating With Five-Port Splitting Output Under Normal Incidence
Published 2020-01-01“…Next, we firstly design a polarization-independent grating with five-port splitting output. On the one hand, the accurate grating vector parameters are optimized using rigorous coupled-wave analysis (RCWA) approach. …”
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RNA Polymerase III Output Is Functionally Linked to tRNA Dimethyl-G26 Modification.
Published 2015-12-01“…We used tRNA-HydroSeq to document that little changes occurred in the relative levels of different tRNAs in maf1Δ cells. By contrast, the efficiency of N2,N2-dimethyl G26 (m(2)2G26) modification on certain tRNAs was decreased in response to maf1-deletion and associated with antisuppression, and was validated by other methods. …”
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144
Joint Transfer Extreme Learning Machine with Cross-Domain Mean Approximation and Output Weight Alignment
Published 2023-01-01“…Finally, a series of experiments are carried out to investigate the performance of JTELM, and the results show that it achieves efficiently the task of transfer learning and performs better than the traditional ELM and other transfer or nontransfer learning methods.…”
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145
Analysis and Optimization of Dysprosium-Doped Yellow Fiber Lasers for Ophthalmology Applications
Published 2024-01-01“…In this paper, a Forward Time Centered Space (FTCS) method and an analytical method have been developed to fully investigate the <inline-formula><tex-math notation="LaTeX">$^{4}F_{9/2}$</tex-math></inline-formula> to <inline-formula><tex-math notation="LaTeX">$^{6}H_{13/2}$</tex-math></inline-formula> lasing transition of a dysprosium Dy<inline-formula><tex-math notation="LaTeX">$-$</tex-math></inline-formula>doped ZBLAN fiber which provides the potential of highly efficient yellow laser direct generation. …”
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146
Integrated deep learning for cardiovascular risk assessment and diagnosis: An evolutionary mating algorithm-enhanced CNN-LSTM
Published 2025-12-01“…Cardiovascular diseases (CVD) remain the leading cause of mortality worldwide, emphasizing the urgent need for accurate and efficient predictive models. This study proposes a dual-output deep learning model based on a hybrid Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) model, optimized using the Evolutionary Mating Algorithm (EMA). …”
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PERFORMANCE ANALYSIS OF HUNGARIAN FOOD INDUSTRY ENTERPRISES USING THE DEA METHOD
Published 2025-07-01“…This study examines the performance of Hungarian food industry enterprises using the Data Envelopment Analysis (DEA) method. In today’s rapidly evolving economic environment, assessing operational efficiency and cost-effectiveness is of paramount strategic importance. …”
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149
Self-Isolation in MIMO Microstrip Patch Arrays Using Annular Via-Based Mode Conversion
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150
Sustainable water and emissions management in agriculture: The water-emissions-food nexus in China
Published 2025-03-01“…The multi-regional input–output (MRIO) model provides insights for water-emissions-food integrated collaborative management. …”
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151
Efficient guided inpainting of larger hole missing images based on hierarchical decoding network
Published 2025-01-01“…Finally, Efficient Context Fusion combines the reconstructed feature maps from different decoding layers into the image space, preserving the semantic integrity of the output image. …”
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152
A Lightweight Dual-Output Vision Transformer for Enhanced Lung Nodule Classification Using CT Images
Published 2025-08-01“…Introduction This study evaluates the effectiveness of a lightweight vision transformer (EfficientFormerV2-S2) with a dual-output architecture for lung nodule classification, assessing its performance and generalizability across multiple datasets. …”
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153
Large Language Model-Driven Structured Output: A Comprehensive Benchmark and Spatial Data Generation Framework
Published 2024-11-01“…We propose new metrics and datasets along with a new method for evaluating the quality and consistency of these outputs. …”
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154
A NEURAL NETWORK APPROACH TO BEAM SELECTION AND POWER OPTIMIZATION IN MM WAVE MASSIVE MIMO
Published 2025-04-01“…It uses advanced deep-learning models to address challenges like beam selection, power control, and missing data. The proposed method is efficient and accurate, outperforming other strategies.…”
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155
Over 10% Gain of Output Power of Medium-Sized Solar Cells by an Improvement of Geometry of Collector Electrodes
Published 2013-01-01“…In the present study, we have constructed an advisable modeling method to calculate output power of medium-sized solar cells and optimized geometry of the collector electrodes. …”
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156
Analysis and control design for input‐series output‐parallel multi‐channel inductive power transfer system
Published 2024-11-01“…Abstract To realize high‐power inductive power transfer (IPT) for fast charging of electric vehicles (EVs), an input‐series output‐parallel (ISOP) multi‐channel IPT system is analysed in this paper, and an output control strategy based on single neuron controller is proposed to improve the stability of the system. …”
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157
Model Input-Output Configuration Search With Embedded Feature Selection for Sensor Time-Series and Image Classification
Published 2025-01-01“…Furthermore, the proposed method has been validated in a real-world industrial application focused on machining processes, underscoring its effectiveness and practicality in addressing complex input-output challenges.…”
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158
Research on the Influence of Refractive Index Distribution of Ytterbium-doped Fiber Core on Stable Laser Output Power
Published 2025-06-01“…When the RIP slope is 0.088 4, the maximum stable laser output power of 2 030 W and the highest slope efficiency of 82.87% are achieved.…”
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A comprehensive review of machine learning applications in forecasting solar PV and wind turbine power output
Published 2025-07-01“…Abstract With climate change driving the global push toward sustainable energy, the reliability of power systems increasingly depends on accurate forecasting methods. This study examined the role of machine learning (ML) in forecasting solar PV power output (SPVPO) and wind turbine power output (WTPO) and identified the challenges posed by the intermittent nature of these renewable energy sources. …”
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