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College of Information and Computing
Department of AI Convergence
3. Theses(Master)
154
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Titles
Researchers
Keywords
Issue Date
141
Thesis
Intra- and Inter-epoch Temporal Context Network with Pyramidal Feature Hierarchy for Automatic Sleep Scoring on Raw Electrograms
Seongju Lee
2020
142
Thesis
A Learning-Based Pose Control of Autonomous Underwater Vehicle for Fish Net Inspection in Turbid Water
Hoosang Lee
2020
143
Thesis
On-road Mixed Reality Autonomous Driving Simulator and its Validation
Dohyeon Yeo
2020
144
Thesis
Real-time Human Respiration Monitoring System for Deep Apnea Detection and Deep Automatic Sleep Stage Scoring using Ultra-wideband Radar
Deokhwan Park
2020
145
Thesis
Examining Take-over Request in Automated Driving: An Exploratory Study Focused on Drivers Asleep at the Wheel
Won Kim
2020
146
Thesis
A Haptic Feedback Method for Improving Quadrotor Drone Operability
Yu, Hongje
2020
147
Thesis
Design and Control of a Cartpole using Deep Reinforcement Learning
Usman Imran
2020
148
Thesis
A Cascaded Multimodal Natural User Interface to Reduce Driver Distraction
Myeongseop Kim
2020
149
Thesis
Development of Human Joints Information Detecting Algorithm by using CNN in 3D Environment
Sanghyub Lee
2019
150
Thesis
Recognition of Abnormal gait patterns using Kinect v2 and Hybrid Deep Learning of Auto-Encoder Feature Extraction Model and Discriminative Model based on RNN Architecture
Kooksung Jun
2019
151
Thesis
Bias Correction Applied in Denoising Methods for Monte Carlo Rendering
Sojin Oh
2019
152
Thesis
Gradient Outlier Removal for Gradient-domain Path Tracing
Saerom Ha
2019
153
Thesis
New Feature Generation for Denoising Gradient-Domain Rendering
Jonghee Back
2019
154
Thesis
Denoising Image Gradients Using Deep Learning Approach for Cinematic Volume Rendering.
Prajita Sukhdev Mane
2019
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Recent Submissions
제조업 현장에서 딥러닝 프로젝트 실무 워크플로우 제안
Weighted Loss Function Utilizing SNR Information for Monaural Phase-Aware Speech Enhancement
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Wayfinding Design Toolkit with Real-time Prediction of Visual Saliency as an Iterative Feedback
WatchCap: Improving Scanning Efficiency in People with LV through Compensatory Head Movement Stimulation
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