글로벌문화산업학과

조직

글로벌문화산업학과

Department of Global Culture Industry

연구자: 5명

전체 77건 중 1번부터 10번까지의 결과를 표시합니다.

2026

Article

AIoT-Powered Real-Time Sensing and Calibration of Low-Cost Particulate Matter Sensors Using the TCM Network

Article

Multi-Objective Energy Management for an Integrated Energy System With Small Modular Reactors Considering Uncertainty

2025

Article

Multi-class intrusion detection system for in-vehicle networks using few-shot learning and convolutional anomaly transformer network

Article

EfficientNet-based universum-inspired supervised contrastive learning and transfer learning for in-vehicle intrusion detection systems

Article

Enhanced magnetic resonance imaging feature extraction for precise brain tumor classification using dual deep convolutional networks

Article

Advanced deep learning-based electricity theft detection in smart grids using multi-dimensional analysis with Convolutional Autoencoder and Transformer

Article

AIoT-Powered Virtual Sensors for Particulate Matter Estimation Using Spatiotemporal Feature Learning and Attention Mechanisms

Article

Low-Latency Edge-Enabled Digital Twin System for Multi-Robot Collision Avoidance and Remote Control

2024

Article

IoT-driven wearable devices enhancing healthcare: ECG classification with cluster-based GAN and meta-features

Article

Semi-supervised intrusion detection system for in-vehicle networks based on variational autoencoder and adversarial reinforcement learning

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자료유형

발행연도

키워드

언어

AIoT-Powered Real-Time Sensing and Calibration of Low-Cost Particulate Matter Sensors Using the TCM Network

Multi-Objective Energy Management for an Integrated Energy System With Small Modular Reactors Considering Uncertainty

Multi-class intrusion detection system for in-vehicle networks using few-shot learning and convolutional anomaly transformer network

EfficientNet-based universum-inspired supervised contrastive learning and transfer learning for in-vehicle intrusion detection systems

Enhanced magnetic resonance imaging feature extraction for precise brain tumor classification using dual deep convolutional networks

Advanced deep learning-based electricity theft detection in smart grids using multi-dimensional analysis with Convolutional Autoencoder and Transformer

AIoT-Powered Virtual Sensors for Particulate Matter Estimation Using Spatiotemporal Feature Learning and Attention Mechanisms

Low-Latency Edge-Enabled Digital Twin System for Multi-Robot Collision Avoidance and Remote Control

IoT-driven wearable devices enhancing healthcare: ECG classification with cluster-based GAN and meta-features

Semi-supervised intrusion detection system for in-vehicle networks based on variational autoencoder and adversarial reinforcement learning