Imitation learning of job dispatching data combining classification and ranking
An Integrated Neural Network-Based Traffic Congestion Prediction for Material Handling Systems of Semiconductor Manufacturing
Estimation of ship operational performance degradation using deep-learning-based fuel oil consumption prediction models
Cost-Efficient Active Transfer Learning Framework for Object Detection from Engineering Documents
A Stable Multi-Object Tracking Method for Unstable and Irregular Maritime Environments
Improving classification performance of motor imagery BCI through EEG data augmentation with conditional generative adversarial networks
자산관리쉘 표준을 이용한 자율이동로봇 모니터링 시스템 설계
Multi-step photovoltaic power forecasting using transformer and recurrent neural networks
Rule-based visualization of faulty process conditions in the die-casting manufacturing
Spatio-Temporal Explanation of 3D-EEGNet for Motor Imagery EEG Classification Using Permutation and Saliency
Conversion of Natural Biowaste into Energy Storage Materials and Estimation of Discharge Capacity through Transfer Learning in Li-Ion Batteries
Effectiveness of multi-task deep learning framework for EEG-based emotion and context recognition
Temporal Fusion Transformer를 이용한 대형마트 판매량의 다단계 시계열 수요예측
Designing an XAI interface for BCI experts: A contextual design for pragmatic explanation interface based on domain knowledge in a specific context
Convolutional autoencoder-based SOH estimation of lithium-ion batteries using electrochemical impedance spectroscopy
RuleCOSI plus : Rule extraction for interpreting classification tree ensembles
Estimating effective connectivity in Alzheimer's disease progression: A dynamic causal modeling study
Simple averaging of direct and recursive forecasts via partial pooling using machine learning
C-ITS를 위한 CCTV 영상의 실시간 동적 객체 탐지 가속화
Traffic Flow Speed Prediction in Overhead Transport Systems for Semiconductor Fabrication Using Dense-UNet