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Simulation Model of Divided Wall Distillation Column (DWDC)
Published 2025-06-01Get full text
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Transferability of Model-Based Static Coefficient of Friction
Published 2024-10-01“…As a result, engineers frequently need to perform experimental COF measurements to ensure the reliable transferability of model-based COFs to real-world components. …”
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Flash Attack Prognosis by Ensemble Supervised Learning for IoT Networks
Published 2023-03-01Get full text
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Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining
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Logical Synchrony Networks: A Formal Model for Deterministic Distribution
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Models for Designing Long-Term Care Service Plans and Care Programs for Older People
Published 2013-01-01Get full text
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The Influence of Hard Protection Structures on Shoreline Evolution in Riohacha, Colombia
Published 2025-07-01“…Over the past 50 years, coastal erosion has become an increasingly critical issue worldwide, and Colombia’s Caribbean coast is no exception. …”
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Self-Supervised Deep Hyperspectral Inpainting with Plug-and-Play and Deep Image Prior Models
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Data-Driven Selection of Decontamination Robot Locomotion Based on Terrain Compatibility Scoring Models
Published 2025-07-01Get full text
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Flow simulation based on MISO and LSTM models in the Yangtze River-Dongting Lake System
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CIL-LLM: Incremental Learning Framework Based on Large Language Models for Category Classification
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Out-of-Distribution in Image Semantic Communication: A Solution With Multimodal Large Language Models
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Autocorrelation Matrix Knowledge Distillation: A Task-Specific Distillation Method for BERT Models
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Optimal Markowitz portfolio using returns forecasted with time series and machine learning models
Published 2025-05-01“…The results showed that by using forecasted returns, we can enhance our portfolio selection based on the Markowitz framework, but it is not a universal solution, and we have to control all the parameters and hyperparameters of selected models. This research paper contributes to the field of Financial Engineering by applying ARIMA-GARCH bootstrapping forecasts and XGBoost forecasts in portfolio optimization and testing a wide range of hyperparameters. …”
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GANs for data augmentation with stacked CNN models and XAI for interpretable maize yield prediction
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Comprehensive Evaluation of Bankruptcy Prediction in Taiwanese Firms Using Multiple Machine Learning Models
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