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781
Analisis Kredit Pembayaran Biaya Kuliah Dengan Pendekatan Pembelajaran Mesin
Published 2023-04-01“…Based on the results of uji the algorithm with the best performance is KNN with a recall for the prediction of "failure to pay" of 0,8 and prediction of "success" of 0,76. …”
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782
Peningkatan Akurasi Metode Weighted Fuzzy Time Series Forecasting Menggunakan Algoritma Evolusi Differensial dan Fuzzy C-Means
Published 2023-10-01“…Conventional prediction methods encounter difficulties in adapting data with the assumptions used, necessitating the application of the Weighted Fuzzy Time Series (WFTS) method. …”
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783
Analisis Tren dan Perkiraan Pandemi COVID-19 di Indonesia Menggunakan Peramalan Metode Prophet :Sebelum dan Sesudah Aturan New Normal
Published 2022-02-01“…The Prophet method is used to predict confirmed cases and deaths within the next 30 days. …”
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784
THE INFLUENCE OF SAMPLE SIZE AND SELECTION OF FINANCIAL RATIOS IN BANKRUPTCY MODEL ACCURACY
Published 2015-05-01“…The prediction accuracy varies among models when increasing the sample size from 6 to 14 companies for the models that developed from the financial ratios of the first group. …”
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785
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786
Analysis of stress distribution of CFRP bonded joints: A study of numerical and machine learning approach
Published 2025-02-01“…As this study also supports engineers and researchers in devising optimized machine learning models for addressing CFRP-bonded joint challenges, the accuracy of stress prediction is improved by applying machine learning techniques to the collected data more refinedly.…”
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787
Forecasting the Treasury Yield Spread for FRED T10Y2Y Data Based on Multiple Approaches
Published 2025-01-01“…As a matter of fact, price prediction for financial underlying assets always been a hot topic in financial fields in recent years with high volatility. …”
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788
THE INFLUENCE OF SAMPLE SIZE AND SELECTION OF FINANCIAL RATIOS IN BANKRUPTCY MODEL ACCURACY
Published 2015-05-01“…The prediction accuracy varies among models when increasing the sample size from 6 to 14 companies for the models that developed from the financial ratios of the first group. …”
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789
How data science and AI-based technologies impact genomics
Published 2023-01-01“…In this review, we focus on the application of data science and AI technology in three areas, including risk prediction and identification of causal single-nucleotide polymorphisms, EHR-based phenotyping and CRISPR guide RNA design. …”
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790
Advances in machine learning applications to resource technology for organic solid waste
Published 2025-03-01“…A key focus of this work is the combination of ML models with optimization algorithms like Genetic Algorithm, which improves the performance of ML models by optimizing hyperparameters and enhancing prediction accuracy. This approach is particularly useful in complex processes such as biological treatment and resource recovery, where ML models can predict waste characteristics and optimize treatment conditions. …”
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791
Gene function revealed at the moment of stochastic gene silencing
Published 2025-01-01“…Analysis of real data demonstrates that scSGS can reveal regulatory relationships up- and downstream of target genes, circumventing the survivorship bias that often affects gene knockout and perturbation studies. scSGS thus offers an efficient approach for gene function prediction, with significant potential to reduce the use of genetically modified animals in gene function research.…”
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792
The Relational Aspects of Luxury Consumption in Brazil: The development of a Luxury Customer Relationship Perception Scale and the Analysis of Brand Personality Influence on Relati...
Published 2019-01-01“…As a secondary objective, we tested the relation between the dimensions of brand personality on relationship perception in the luxury context, confirming a prediction relation between these variables. Regarding our contributions, we propose a new metric for marketing literature, which enables future relational studies with other consumer behavior constructs. …”
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793
Integrative prognostic modeling of ovarian cancer: incorporating genetic, clinical, and immunological markers
Published 2025-02-01“…The risk score effectively predicted patient survival, distinguishing between high and low-risk groups with significant outcome differences. …”
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794
Utilizing MV-FLOW™ and multidimensional ultrasound characteristics for prognosticating FET outcomes in RIF patients: Study Protocol for a cross-sectional study.
Published 2025-01-01“…We collected basic clinical data and multimodal ultrasound data from these patients as predictive features, with clinical pregnancy as the predictive label, for model training. …”
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795
Review of the matched asymptotic approach of the coupled criterion
Published 2025-02-01“…This method can be seamlessly integrated with the Coupled Criterion (CC), which enables the prediction of crack nucleation and propagation in brittle materials. …”
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796
The real-time data processing framework for blockchain and edge computing
Published 2025-05-01“…Experimental results demonstrate that VCD-TSNet outperforms baseline models in classification accuracy, prediction precision, and real-time performance. For instance, on the BoT-IoT dataset, the classification accuracy reaches 97.5%, throughput increases to 920 TPS, and response time stays below 85 ms. …”
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797
Path Scheduling and Target Trajectory Optimization in UAVs Based on Dragonfly and Firefly Algorithm
Published 2022-10-01“…Parametric indeterminacy is several factors in UAVs movement prediction and trajectory, such as speed, movement angle, accuracy, movement time, and situation and direct control. …”
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798
Genetic polymorphism of hepatitis C virus and risk of hepatocellular carcinoma
Published 2014-09-01“…Early detection mutant Glu 70, Met 91 forms of HCV genotype 1b will provide prediction of HCC risk in CHC patients and to begin adequate etiological treatment for preventive maintenance of this dangerous complication intime.…”
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799
Stochastic process-based drought monitoring and assessment system: A temporal switched weights approach for accurate and precise drought determination.
Published 2025-01-01“…Effective drought mitigation policies necessitate the monitoring and prediction of drought. To determine the severity and impacts of droughts accurately and precisely, probabilistic models have been developed. …”
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800
Epitope mapping of recombinant Salmonella enterica serotype Heidelberg flagellar hook-associated protein by in silico and in vivo approaches
Published 2025-02-01“…The aim of the present study was to compare the epitope identification in the Salmonella enterica serotype Heidelberg FlgK protein by in silico prediction and in vivo experiment with mass spectrometry in association with immunoprecipitation proteomics. …”
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