Exploring Cohesive Subgraphs in Hypergraphs: The (k, g)-core Approach Author: Dahee Kim , Junghoon Kim , Sungsu Lim, Hyun Ji Jeong Abstract Identifying cohesive subgraphs in hypergraphs is a fundamental problem that has received recent attention in data mining and engineering fields. Existing approaches mainly focus on a...
MMP Net: A Feedforward Neural Network Model with Sequential Inputs for Representing Continuous Multistage Manufacturing Processes without Intermediate Outputs IISE Transactions ( IF 2.6 ) Pub Date: 2023-07-28 , DOI:10.1080/24725854.2023.2242434 Cho Hojin, Kim Kyeongbin, Yoon Kihyuk, Chun Jaewook, Kim Jaeyong, Lee Kyeongmin, Lee Junghye, Chiehyeon Lim Abstract Machine learning models that are used for the prediction and...
Hong Kong World: Leveraging Structural Regularity for Line-Based SLAM Author: Haoang Li; Ji Zhao; Jean-Charles Bazin; Pyojin Kim; Kyungdon Joo; Zhenjun Zhao Abstract: Manhattan and Atlanta worlds hold for the structured scenes with only vertical and horizontal dominant directions (DDs). To describe the scenes with additional sloping DDs, a...
From technology enablers to circular economy: Data-driven understanding of the overview of servitization and product–service systems in Industry 4.0 Author : Minjun Kim, Chiehyeon Lim, Juliana Hsuan Abstract Product-based companies worldwide attempt to integrate services into their offerings, embarking on “servitization” as a key strategy. These days, the acceleration...
Bayesian-based uncertainty-aware tool-wear prediction model in end-milling process of titanium alloy Author: Gyeongho Kim , Sang Min Yang , Dong Min Kim , Sinwon Kim , Jae Gyeong Choi , Minjoo Ku , Sunghoon Lim , Hyung Wook Park Abstract Tool wear negatively affects machined surfaces and causes surface cracking,...
Stop-loss adjusted labels for machine learning-based trading of risky assets Author: Yoontae Hwang , Junpyo Park , Yongjae Lee , Dong-Young Lim Abstract Since the rise of ML/AI, many researchers and practitioners have been trying to predict future stock price movements. In actual implementations, however, stop-loss is widely adopted...
TS-Net: A Deep Learning Framework for Automated Assessment of Longitudinal Tumor Volume Changes in an Orthotopic Breast Cancer Model Using MRI Author: YUNKYOUNG JUN , SEOKHA JIN , NOEHYUN MYUNG , JIWOO JEONG , JIMIN LEE, AND HYUNG JOON CHO ABSTRACT Monitoring tumor volume changes in response to therapeutic...
Deep learning-based label-free hematology analysis framework using optical diffraction tomography Author: Dongmin Ryu, Taeyoung Bak, Daewoong Ahn, Hayoung Kang, Sanggeun Oh, Hyun-seok Min, Sumin Lee a, Jimin Lee a Tomocube Inc., Daejeon, 34109, Republic of Korea b Department of Computer Science and Engineering, Ulsan National Institute of Science...
Training-Free Stuck-At Fault Mitigation for ReRAM-Based Deep Learning Accelerators Author: Chenghao Quan , Mohammed E. Fouda , Senior Member, IEEE, Sugil Lee , Giju Jung, Jongeun Lee , Member, IEEE, Ahmed E. Eltawil , Senior Member, IEEE, and Fadi Kurdahi , Fellow, IEEE Abstract—Although Resistive RAMs can...
Offline Training-Based Mitigation of IR Drop for ReRAM-Based Deep Neural Network Accelerators Author: Sugil Lee , Mohammed E. Fouda , Jongeun Lee , Member, IEEE, Ahmed M. Eltawil , Senior Member, IEEE, and Fadi Kurdahi , Fellow, IEEE Abstract—Recently, resistive RAM (ReRAM)-based hardware accelerators showed unprecedented performance...
