Search Results - "Joe, Inwhee"

A Predictable-Image Solution for Copyright Protection Based on Layer-Wise Relevance Propagation.

Authors: Park, Yougyung Kim, Sieun Joe, Inwhee

Source: Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 6, p2864, 18p

An Intelligent Docent System with a Small Large Language Model (sLLM) Based on Retrieval-Augmented Generation (RAG).

Authors: Jung, Taemoon Joe, Inwhee

Source: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 17, p9398, 30p

AI-Based RPA's Work Automation Operation to Respond to Hacking Threats Using Collected Threat Logs.

Authors: Kim, Joosung Kim, Soo Hyun Joe, Inwhee

Source: Applied Sciences (2076-3417); Nov2024, Vol. 14 Issue 22, p10217, 18p

Enhancing Machine Learning Models Through PCA, SMOTE-ENN, and Stochastic Weighted Averaging.

Authors: Han, Youngjin Joe, Inwhee

Source: Applied Sciences (2076-3417); Nov2024, Vol. 14 Issue 21, p9772, 22p

A CNN-based automatic vulnerability detection.

Authors: An, Jung Hyun Wang, Zhan Joe, Inwhee

Source: EURASIP Journal on Wireless Communications & Networking; 5/24/2023, Vol. 2023 Issue 1, p1-13, 13p

Real Driving Cycle-Based State of Charge Prediction for EV Batteries Using Deep Learning Methods.

Authors: Hong, Seokjoon Hwang, Hoyeon Kim, Daniel et al.

Source: Applied Sciences (2076-3417); Dec2021, Vol. 11 Issue 23, p11285, 20p

Dynamic access control method for SDP-based network environments.

Authors: You, Hyunjin Ko, Doochan Kim, Daniel et al.

Source: EURASIP Journal on Wireless Communications & Networking; 9/18/2023, Vol. 2023 Issue 1, p1-12, 12p

CAM-NAS: An Efficient and Interpretable Neural Architecture Search Model Based on Class Activation Mapping.

Authors: Zhang, Zhiyuan Wang, Zhan Joe, Inwhee

Source: Applied Sciences (2076-3417); Sep2023, Vol. 13 Issue 17, p9686, 13p

Specific-Input LIME Explanations for Tabular Data Based on Deep Learning Models.

Authors: An, Junkang Zhang, Yiwan Joe, Inwhee

Source: Applied Sciences (2076-3417); Aug2023, Vol. 13 Issue 15, p8782, 19p

A NOMA-Combined Hybrid Approach for SDMA Improvement in Wireless Powered Communication Networks.

Authors: Maeng, Juhyun Dahouda, Mwamba Kasongo Joe, Inwhee

Source: Wireless Personal Communications; Jan2022, Vol. 122 Issue 1, p877-895, 19p

An Improved LSTM-Based Failure Classification Model for Financial Companies Using Natural Language Processing.

Authors: Wang, Zhan Kim, Soyeon Joe, Inwhee

Source: Applied Sciences (2076-3417); Jul2023, Vol. 13 Issue 13, p7884, 15p

OISE: Optimized Input Sampling Explanation with a Saliency Map Based on the Black-Box Model.

Authors: Wang, Zhan Joe, Inwhee

Source: Applied Sciences (2076-3417); May2023, Vol. 13 Issue 10, p5886, 14p

A multi-head adjacent attention-based pyramid layered model for nested named entity recognition.

Authors: Cui, Shengmin Joe, Inwhee

Source: Neural Computing & Applications; Jan2023, Vol. 35 Issue 3, p2561-2574, 14p

An Area Recommendation Method Using Similarity Analysis for Play Patterns in MMORPG.

Authors: Jo, Yuyeon Cui, Shengmin Joe, Inwhee

Source: Applied Sciences (2076-3417); Nov2022, Vol. 12 Issue 21, p10833, 15p

An Enhanced Proximal Policy Optimization-Based Reinforcement Learning Method with Random Forest for Hyperparameter Optimization.

Authors: Ma, Zhixin Cui, Shengmin Joe, Inwhee

Source: Applied Sciences (2076-3417); Jul2022, Vol. 12 Issue 14, p7006, 20p

Attention Map-Guided Visual Explanations for Deep Neural Networks.

Authors: An, Junkang Joe, Inwhee

Source: Applied Sciences (2076-3417); Apr2022, Vol. 12 Issue 8, p3846, 11p

Deep learning-based optimal placement of a mobile HAP for common throughput maximization in wireless powered communication networks.

Authors: Kim, Hong-Sik Joe, Inwhee

Source: EURASIP Journal on Wireless Communications & Networking; 10/2/2021, Vol. 2021 Issue 1, p1-16, 16p

A Hybrid DenseNet-LSTM Model for Epileptic Seizure Prediction.

Authors: Ryu, Sanguk Joe, Inwhee

Source: Applied Sciences (2076-3417); Aug2021, Vol. 11 Issue 16, p7661, 13p

MAARS: Multiagent Actor–Critic Approach for Resource Allocation and Network Slicing in Multiaccess Edge Computing.

Authors: Lim, Ducsun Joe, Inwhee

Source: Sensors (14248220). Dec2024, Vol. 24 Issue 23, p7760. 28p.

TMH: Two-Tower Multi-Head Attention neural network for CTR prediction.

Authors: An, Zijian Joe, Inwhee

Source: PLoS ONE. 3/15/2024, Vol. 19 Issue 3, p1-21. 21p.