DGIST Library Repository

Browsing by Titles

All A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
전체 가 나 다 라 마 바 사 아 자 차 카 타 파 하

Showing results 1 to 7 of 7

Thesis
A Joint Source Channel Coding System That Transmits Foveated Images
  • MINSEO SON
  • 2025
  • MINSEO SON. (2025). A Joint Source Channel Coding System That Transmits Foveated Images. doi: 10.22677/THESIS.200000841173
  • DGIST
  • View : 434
  • Download : 0
Thesis
Communication-Efficient and Drift-Robust Federated Learning via Elastic Net
  • Seonhyeong Kim
  • 2023
  • Seonhyeong Kim. (2023). Communication-Efficient and Drift-Robust Federated Learning via Elastic Net. doi: 10.22677/THESIS.200000653511
  • DGIST
  • View : 245
  • Download : 0
Thesis
Hierarchical Network Slicing leveraging Dynamic Optimization and Learning in Open-RAN Architecture
  • Han Jong Won
  • 2025
  • Han Jong Won. (2025). Hierarchical Network Slicing leveraging Dynamic Optimization and Learning in Open-RAN Architecture. doi: 10.22677/THESIS.200000847726
  • DGIST
  • View : 427
  • Download : 0
Thesis
Improved Longest Repeated Substring Estimator
  • Jiheon Woo
  • 2023
  • Jiheon Woo. (2023). Improved Longest Repeated Substring Estimator. doi: 10.22677/THESIS.200000654466
  • DGIST
  • View : 180
  • Download : 0
Thesis
Lions and Contamination: Triangulated Graph and Regular Graph
  • Minhun Seo
  • 2024
  • Minhun Seo. (2024). Lions and Contamination: Triangulated Graph and Regular Graph. doi: 10.22677/THESIS.200000728381
  • DGIST
  • View : 72
  • Download : 0
Thesis
Revealing Insights for Small Cell Networks via Optimization and Deep Reinforcement Learning
  • Pildo Yoon
  • 2024
  • Pildo Yoon. (2024). Revealing Insights for Small Cell Networks via Optimization and Deep Reinforcement Learning. doi: 10.22677/THESIS.200000724592
  • DGIST
  • View : 58
  • Download : 0
Thesis
SegRig: Advanced Neural Rigging Network via 3D Semantic Segmentation
  • Junkyu Cho
  • 2025
  • Junkyu Cho. (2025). SegRig: Advanced Neural Rigging Network via 3D Semantic Segmentation. doi: 10.22677/THESIS.200000841174
  • DGIST
  • View : 243
  • Download : 0
1