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Suggested Topics within your search.
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Global digital elevation model (GDEM) product generation by correcting ASTER GDEM elevation with ICESat-2 altimeter data
Published 2025-01-01“…The results from the validation comparison show that the elevation accuracy of IC2-GDEM is evidently superior to that of the ASTER GDEM product: (1) the RMSE reduction ratio of the corrected GDEM elevation is between 16 % and 82 %, and the average reduction ratio is about 47 %; and (2) from the analysis of the different topographies and land covers, this error reduction is effective even in areas with high topographic relief (<span class="inline-formula">>15<i>°</i></span>) and high vegetation cover (<span class="inline-formula">>60 %</span>). …”
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Enhancing Efficiency and Reducing the Carbon Footprint of Cloud-Based Healthcare Applications through Optimal Data Preprocessing
Published 2025-01-01“…Our results demonstrate that the impact of preprocessing on both accuracy and processing speed varies depending on the algorithm and the type of preprocessing applied. Notable improvements in precision and processing time reductions of up to 35% were observed, highlighting the potential of preprocessing to enhance the performance and sustainability of ML algorithms.…”
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13404
Dose-Weighted Network Pharmacology: Evaluating Traditional Chinese Medicine Formulations for Lumbar Disc Herniation
Published 2025-01-01“…These predictions were confirmed in animal studies, where YJD demonstrated the greatest reduction in thermal hyperalgesia and the most significant decrease in inflammatory markers, surpassing both TSD and PQT. …”
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13405
Fuzzy logic-based particle swarm optimization for integrated energy management system considering battery storage degradation
Published 2024-12-01“…Overall, the FLB-PSO algorithm outperforms traditional PSO in terms of robustness to system dynamics, convergence rate, operational cost reduction, and improved energy efficiency.…”
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13406
Simultaneous determination of the amylose and amylopectin content of foxtail millet flour by hyperspectral imaging
Published 2025-02-01“…Results demonstrated that the key band extraction combined algorithm effectively reduced data dimension without compromising the accuracy of the prediction model. …”
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13407
Modelling and Optimisation of Hysteresis and Sensitivity of Multicomponent Flexible Sensing Materials
Published 2025-03-01“…Finally, the optimal solution of the prediction model is obtained using the multi-objective RIME (MORIME) algorithm. …”
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13408
Lightweight Tea Shoot Picking Point Recognition Model Based on Improved DeepLabV3+
Published 2024-09-01“…This led to a notable reduction in the model's parameter count and expedited the model training process. …”
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Faster R-CNN model for target recognition and diagnosis of scapular fractures
Published 2025-04-01“…The accuracy of the CNN algorithm model combined with orthopedist interpretation was 97.78 %, significantly higher than orthopedist-independent interpretation (82.95 %) and CNN algorithm-independent prediction (92.05 %) (P < 0.05). …”
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13410
Revisiting Southern Gallo-Romance from a complexity theory standpoint: Occitan
Published 2024-12-01“…In this paper, the inner structure of the Occitan dialect network is revisited in the light of a range of cumulative (Ward’s method) vs. reductive (Complete linkage, Groupe Average, Weighted Average) hierarchical algorithms provided by Gabmap, an Online dialectometric application for calculating distance/similarities by edit distance (Levenshtein algorithm). …”
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13411
Monitoring of Thoracopulmonary Compliance During High-Frequency Jet Ventilation: Theoretical and Practical Aspects
Published 2009-10-01“…The clinical tests of the developed algorithms permitted a new assessment of the physiological essence of thoracopulmonary compliance during HFJV. …”
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13412
Hyperspectral Inversion of Soil Cu Content in Agricultural Land Based on Continuous Wavelet Transform and Stacking Ensemble Learning
Published 2024-11-01“…Therefore, the rapid and accurate prediction of heavy metal content in agricultural soil is crucial for environmental protection and soil remediation. …”
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Research on short-term power load forecasting based on deep reinforcement learning with multiple intelligences
Published 2025-04-01“…Therefore, to realize accurate and efficient prediction of short-term power loads, a short-term power load prediction method based on multi-intelligence deep reinforcement learning is proposed to address the complex nonlinear characteristics of load data. …”
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A private Ethereum blockchain for organ donation and transplantation based on intelligent smart contracts
Published 2024-12-01Get full text
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13415
IMPROVEMENT OF MEDICAL CARE FOR THE PATIENTS WITH LIPID DISORDERS (CASE OF LIPID CENTER OF THE “DISTRICT CARDIOLOGICAL DISPENSARY “CENTER FOR DIAGNOSTICS AND CARDIOVASCULAR SURGERY...
Published 2017-06-01“…Taken high prevalence of the pathology in younger patients, we have developed and implemented an algorithm of the young acute coronary syndrome patients follow-up; developed and approved the algorithms of interaction of the in-patient and outpatient parts of specialized care for lipid disorder patients.Conclusion. …”
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A clinical case with Anti-MOG associated demyelinating disease
Published 2025-08-01Get full text
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Solving the fully fuzzy multi-choice linear programming model
Published 2024-08-01Get full text
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