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2801
Fault Prediction Of Pharmaceutical Air Compressor Using The Intelligent Model Based On The Bayesian Network
Published 2025-06-01Get full text
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2802
Explainable Climate-Based Time Series Modeling for Predicting Chemical Compositions in Tobacco Leaves
Published 2025-01-01Get full text
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2803
Stacked ensemble model for accurate crop yield prediction using machine learning techniques
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2804
Residual Life Prediction of Pneumatic Control Valves Based on Trans-TCN-GRU Modeling
Published 2024-01-01Get full text
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2805
A Cross-Project Defect Prediction Model Based on Deep Learning With Self-Attention
Published 2022-01-01Get full text
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2806
Deep learning model optimization for crop prediction and recommendation using Harris Hawks optimization
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2807
Prediction of Remaining Useful Life of Operating Mechanism Driven by Deep Feature in Classification Model
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2808
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2809
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2810
Correction: Time series models for prediction of leptospirosis in different climate zones in Sri Lanka.
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2811
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2812
A Hybrid Network Analysis and Machine Learning Model for Enhanced Financial Distress Prediction
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2813
Dropout Prediction Model for College Students in MOOCs Based on Weighted Multi-feature and SVM
Published 2023-09-01Get full text
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2814
A model to predict outlet stores’ ratings using value, quality, selection, and help
Published 2015-03-01Get full text
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2815
Correction: Machine learning-based e-commerce platform repurchase customer prediction model.
Published 2024-01-01Get full text
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2816
The Prediction of Serum C-Reactive Protein Concentration Using Nonlinear Mixed-Effects Model
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2817
Fungi-Kcr: a language model for predicting lysine crotonylation in pathogenic fungal proteins
Published 2025-07-01“…Moreover, our results indicate that a general predictive model performs better than species-specific models. …”
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2818
Wind Power Prediction Based on a Hybrid Model of ICEEMDAN and ModernTCN-Informer
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2819
Bayesian compositional generalized linear mixed models for disease prediction using microbiome data
Published 2025-04-01“…Abstract The primary goal of predictive modeling for compositional microbiome data is to better understand and predict disease susceptibility based on the relative abundance of microbial species. …”
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2820
DNN-based Software Reliability Model for Fault Prediction and Optimal Release Time Determination
Published 2025-10-01Get full text
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