Steap4 Stimulates Adipocyte Differentiation through Activation of Mitotic Clonal Expansion and Regulation of Early Adipogenic Factors
A Study on the Optimization of IoU
A Study on the Application of Artificial Intelligence in Symbolic Execution: Usage in fuzzing and vulnerability detection
Resting-State Peripheral Catecholamine and Anxiety Levels in Korean Male Adolescents with Internet Game Addiction
Estimation of Object Position from Multiple Spherical Images
Combining Imitation Learning and Reinforcement Learning for Visual-Language Navigation Agents
Negative Regulation of Tumor Suppressor p53 at the Promoter Regions of Oncogenic SETDB1 and FosB Genes
Phylogenetic Analysis of Carassius auratus and C. cuvieri in Lake Yedang Based on Variations of Mitochondrial CYTB Gene Sequences
Online Signature Verification using General Handwriting Data and CNN
Transformer-based DKN for News Recommendation
How the Learning Speed and Tendency of Reinforcement Learning Agents Change with Prior Knowledge
Remifentanil-induced preconditioning has cross-talk with A1 and A2B adenosine receptors in ischemic-reperfused rat heart
Performance Analysis of Various Activation Functions in Super Resolution Model
The Effect of Inhibition of Uncaria rhynchophylla as an Inhibitor of Melanogenesis and an Antioxidant in B16F10 Melanoma Cells
New Approaches to the Control of Pathogenic Oral Bacteria
Construction of Artificial Intelligence Training Platform for Machine Learning Based on Web Radiology_CDM
Production of Medium-chain-length Poly (3-hydroxyalkanoates) by Pseudomonas sp. EML8 from Waste Frying Oil
특허소개(나노재료)
Study on a Diagnosis System using Correlation between Schizophrenia and EEG, MRI data
A Study on Synthesizing Training Data for One-stage Object Detector
Recombinant Production and Antimicrobial Activity of an Antimicrobial Model Peptide (Uu-ilys-CF) Derived from Spoon Worm Lysozyme, Uu-ilys
[나노기술 개발동향] 차세대 연료전지 기술에 관한 연구개발 동향 및 정보분석
Identification of Salted Opossum Shrimp Using COI-based Restriction Fragment Length Polymorphism
A Feasibility Study on Clustering for Effective Anomaly Detection