Master196

Showing results 101 to 120 of 196

  • Do Y. Kim
  • 2022
  • Do Y. Kim. (2022). Scalable Recirculating Programmable Silicon Photonic MEMS. doi: 10.22677/thesis.200000596371
  • DGIST
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  • Sang-Won Bang
  • 2022
  • Sang-Won Bang. (2022). Registration-Free Point Cloud Acquisition and Surface Reconstruction for Minimally Invasive Teleoperation Treatment. doi: 10.22677/thesis.200000597443
  • DGIST
  • View : 317
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  • Heesu An
  • 2022
  • Heesu An. (2022). pH Sensor-embedded Magnetically Driven Capsule for Multiple Sampling of Gastric Juice and Detection of H. pylori in Stomach. doi: 10.22677/thesis.200000597217
  • DGIST
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  • Eunsil Jang
  • 2022
  • Eunsil Jang. (2022). Design of an XYZ scanning system using a mechanical amplifier and a polystyrene frequency separator for 3D confocal endo-microscopy. doi: 10.22677/thesis.200000596440
  • DGIST
  • View : 287
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  • Jungyeun Seo
  • 2022
  • Jungyeun Seo. (2022). Design, fabrication, and application of self-aligned cilia microstructures for energy harvesting and pressure sensing. doi: 10.22677/thesis.200000594277
  • DGIST
  • View : 321
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  • Sungwoo Son
  • 2022
  • Sungwoo Son. (2022). Automated image-based classification of cancer cell by using digital holography and deep learning. doi: 10.22677/thesis.200000595277
  • DGIST
  • View : 298
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Multi Dimensional  LSTM for 3D patch based pancreas segmentation

  • Kim, Jeong Hwan
  • 2020
  • Kim, Jeong Hwan. (2020). Multi Dimensional LSTM for 3D patch based pancreas segmentation. doi: 10.22677/thesis.200000334023
  • DGIST
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  • Seunghyeon Hwang
  • 2020
  • Seunghyeon Hwang. (2020). New phase unwrapping approach in digital holographic microscopy with deep learning. doi: 10.22677/Theses.200000285033
  • DGIST
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  • Seung Kyoung Heo
  • 2020
  • Seung Kyoung Heo. (2020). Dry transfer printing of nano/micro features in sub-meter scale. doi: 10.22677/Theses.200000284064
  • DGIST
  • View : 596
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  • Gukyeong Han
  • 2020
  • Gukyeong Han. (2020). Robot-patient registration for image-guided robotic surgery in bone fracture reduction. doi: 10.22677/Theses.200000285963
  • DGIST
  • View : 638
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  • Hojun Jeong
  • 2020
  • Hojun Jeong. (2020). Comparison of Cortical Effects for Feedback on Motor Imagery-based Brain-computer Interface using Event-related Design: EEG-fNIRS Study. doi: 10.22677/Theses.200000285718
  • DGIST
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  • Il Ryu Jang
  • 2020
  • Il Ryu Jang. (2020). Direct Measurement of In-Liquid Particle Masses Using Quartz Crystal Microbalance. doi: 10.22677/Theses.200000286458
  • DGIST
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  • Yuhyun Lee
  • 2020
  • Yuhyun Lee. (2020). Development of EEG recording systems for multiple adult and larval zebrafish. doi: 10.22677/Theses.200000281618
  • DGIST
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  • Kyeong Yeon Lee
  • 2020
  • Kyeong Yeon Lee. (2020). Development of a polydimethylsiloxane (PDMS)-based electrode array for electrocorticography (ECoG). doi: 10.22677/Theses.200000283853
  • DGIST
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  • Gyeongmin Lee
  • 2020
  • Gyeongmin Lee. (2020). Retinal OCT Image Segmentation Using Semi-supervised Learning with Generative Adversarial Networks. doi: 10.22677/Theses.200000285620
  • DGIST
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  • Junwoo Yea
  • 2020
  • Junwoo Yea. (2020). Bi-axially Stretchable Three-dimensional PZT Energy Harvester. doi: 10.22677/Theses.200000284063
  • DGIST
  • View : 561
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  • Ara Yeon
  • 2020
  • Ara Yeon. (2020). Development of a micro-electro-mechanical systems (MEMS) vector sensor with mushroom-shaped proof mass and characterization of its properties as a hydrophone. doi: 10.22677/Theses.200000281534
  • DGIST
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  • Jaewon Ahn
  • 2020
  • Jaewon Ahn. (2020). Study on Micro Patterning Process using Impact-type Hot Embossing Technique. doi: 10.22677/Theses.200000284622
  • DGIST
  • View : 500
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Red blood cell study at different temperatures with holographic imaging informatics

  • Minwoo Sim
  • 2020
  • Minwoo Sim. (2020). Red blood cell study at different temperatures with holographic imaging informatics. doi: 10.22677/Theses.200000285143
  • DGIST
  • View : 566
  • Download : 184
  • Bongsub Song
  • 2020
  • Bongsub Song. (2020). A Study on Spent Nuclear Fuel Inspection System and the Methods. doi: 10.22677/Theses.200000282323
  • DGIST
  • View : 623
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