Fusion of pre-trained model features with style-aware attention for enhanced content-based recommendation system

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Output stream analysis in a queueing model with working vacation mechanism as a power reduction strategy

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A Modified Hybrid Content-Aware Course Recommendation Model for Moodle-Based Learning Management System

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Comparative evaluation of large language models in generating clinical insights for HIV associated oral Kaposi sarcoma

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Streptococcus pneumoniae upregulates Toll2, Toll9, and defensin genes in Bombyx larvae infection model

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Developing a machine learning model to map new-build gentrification: A mixed-methods approach

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Deep learning framework for RNA 5hmC prediction using RNA language model embeddings

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Construction of a depression risk prediction model for hepatitis B patients based on machine learning strategy

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Genetic ablation of interleukin-17A augments fibrosis in a mouse model of cholestatic liver injury

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Analisis Penerimaan Pengguna Sistem Absensi Terintegrasi dengan Model TAM Berbasis Web dan Mobile

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A retrospective study of a weight estimation model for hospitalized bedridden patients based on anthropometric parameters

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Hierarchical Modeling of Perceived Fatigue in Upper Limb Cross Tasks Using Wearable IMU and EMG Sensors

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CLAS-Net: A study on cross-lingual intelligent sentiment analysis model fusing semantic alignment

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Prompt Engineering for Advancing Software Engineering: Using Generative Language Models in the Development of Domain-Specific Languages

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Adoption and implementation of teleaudiology as a telehealth model in Jordan and Arab countries: A cross-sectional survey

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V-Model Design and Experimental Validation for Robust Direct Power Control of Wind Energy Conversion Systems

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Quantum-Inspired Deep Learning Model for Short-Term Load Forecasting in Smart Grid Energy Management

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Data-Driven Aggregation Model of Type-III Wind Farms for Power System Transient Characteristic Simulation

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Model-Based Mitigation of Low-Order Harmonics in Overmodulated SynRM Drives Considering Cross-Saturation

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Exhaustive Structure Learning of R-Vine Copula Models for Analyzing Multiband Spectrum Utilization in Mobile Communications

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