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전체 가 나 다 라 마 바 사 아 자 차 카 타 파 하

Showing results 1 to 16 of 16

Thesis
A deep learning method for chamber enlargement diagnosis
  • Keonwoo Noh
  • 2021
  • Keonwoo Noh. (2021). A deep learning method for chamber enlargement diagnosis. doi: 10.22677/thesis.200000366283
  • DGIST
  • View : 289
  • Download : 0

A Delete-Aware Compaction Trigger Method for LSM-Tree Based Key-Value Stores

Thesis
A Delete-Aware Compaction Trigger Method for LSM-Tree Based Key-Value Stores
  • Ilseop Lee
  • 2021
  • Ilseop Lee. (2021). A Delete-Aware Compaction Trigger Method for LSM-Tree Based Key-Value Stores. doi: 10.22677/thesis.200000364341
  • DGIST
  • View : 350
  • Download : 341
Thesis
A Fast Distributed HyperLedger Fabric using Adaptive State Synchronization
  • Juyeong Jeong
  • 2022
  • Juyeong Jeong. (2022). A Fast Distributed HyperLedger Fabric using Adaptive State Synchronization. doi: 10.22677/thesis.200000592087
  • DGIST
  • View : 340
  • Download : 0
Thesis
A GPU-Based Complex Graph Query Processing System Based on Grid Partitioning for Trillion-Scale Graphs
  • Seyeon Oh
  • 2025
  • DGIST
  • View : 22
  • Download : 0
Thesis
A Memory-Efficient and Scalable GPU-Based Tucker Decomposition Method for Large-Scale Tensors
  • Jihye Lee
  • 2025
  • Jihye Lee. (2025). A Memory-Efficient and Scalable GPU-Based Tucker Decomposition Method for Large-Scale Tensors. doi: 10.22677/THESIS.200000841755
  • DGIST
  • View : 196
  • Download : 0
Thesis
A Method for Rapid Design of High-quality Primers for PCR Experiments
  • Hajin Jeon
  • 2023
  • Hajin Jeon. (2023). A Method for Rapid Design of High-quality Primers for PCR Experiments. doi: 10.22677/THESIS.200000653897
  • DGIST
  • View : 418
  • Download : 0

An Effective and Efficient Method for Tweaking Deep Neural Networks

Thesis
An Effective and Efficient Method for Tweaking Deep Neural Networks
  • Jinwook Kim
  • 2021
  • Jinwook Kim. (2021). An Effective and Efficient Method for Tweaking Deep Neural Networks. doi: 10.22677/thesis.200000497154
  • DGIST
  • View : 279
  • Download : 114
Thesis
An efficient and effective method for generating trillion-scale synthetic graphs
  • Himchan Park
  • 2019
  • Himchan Park. (2019). An efficient and effective method for generating trillion-scale synthetic graphs. doi: 10.22677/thesis.200000217215
  • DGIST
  • View : 624
  • Download : 0
Thesis
Community-based methods for neural architecture search and knowledge base population
  • Heechul Lim
  • 2023
  • Heechul Lim. (2023). Community-based methods for neural architecture search and knowledge base population. doi: 10.22677/THESIS.200000684740
  • DGIST
  • View : 262
  • Download : 0
Thesis
Construction and Analysis of a Large-Scale Multi-Layered Proteomics Network for Human Cancer Using Graph Neural Networks
  • Sungho Shim
  • 2025
  • DGIST
  • View : 18
  • Download : 0
Thesis
Exploiting the Intermediate Layers of Convolutional Neural Networks for Medical Deep Learning
  • Hyun-Lim Yang
  • 2021
  • Hyun-Lim Yang. (2021). Exploiting the Intermediate Layers of Convolutional Neural Networks for Medical Deep Learning. doi: 10.22677/thesis.200000362649
  • DGIST
  • View : 292
  • Download : 0

Exploiting various patterns for heterogeneous graph attention network

Thesis
Exploiting various patterns for heterogeneous graph attention network
  • Eunjeong Yi
  • 2021
  • Eunjeong Yi. (2021). Exploiting various patterns for heterogeneous graph attention network. doi: 10.22677/thesis.200000497156
  • DGIST
  • View : 231
  • Download : 135
Thesis
Fast and Memory-Efficient Query Processing SysteMaster for Complex OLAP Databases and Queries
  • Yoon-Min Nam
  • 2019
  • Yoon-Min Nam. (2019). Fast and Memory-Efficient Query Processing SysteMaster for Complex OLAP Databases and Queries. doi: 10.22677/thesis.200000220645
  • DGIST
  • View : 667
  • Download : 0
Thesis
Improving the Performance of Natural Language Deep Learning Models by Using Dimension Attribute Values
  • Myeonghwa Lee
  • 2021
  • Myeonghwa Lee. (2021). Improving the Performance of Natural Language Deep Learning Models by Using Dimension Attribute Values. doi: 10.22677/thesis.200000363154
  • DGIST
  • View : 221
  • Download : 0
Thesis
Multimodal Data Management in Disks and Main Memory for Deep Learning
  • Sanghyeon Lee
  • 2019
  • Sanghyeon Lee. (2019). Multimodal Data Management in Disks and Main Memory for Deep Learning. doi: 10.22699/thesis.200000171479
  • DGIST
  • View : 486
  • Download : 0
Thesis
Systematic Evaluation and Adaptation of Spatio-Temporal Graph Neural Networks for Distributed and Resource-Constrained Environments
  • Heeyong Yoon
  • 2026
  • DGIST
  • View : 52
  • Download : 0
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