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The Infrared Medium-deep Survey. III. Survey of Luminous Quasars at 4.7 $łeq$ z $łeq$ 5.4

, , , , , , , , , , , , , , , , , , , , , , , and . (2017)cite arxiv:1706.08454Comment: 16 pages, 12 figures, and 9 tables. Accepted for publication in ApJS.

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The Infrared Medium-deep Survey. VIII. Quasar Luminosity Function at $z\sim5$, , , , , , , , , and 20 other author(s). (2020)cite arxiv:2010.05859Comment: 21 pages, 14 figures, 7 tables. Accepted for publication in ApJ.Estimation for cognitive load in Video-based learning through Physiological Data and Subjective Measurement by Video Annotation.. EDM, International Educational Data Mining Society, (2020)The Infrared Medium-Deep Survey. V. A New Selection Strategy for Quasars at z > 5 based on Medium-Band Observation with SQUEAN, , , , , , , and . (2016)cite arxiv:1602.02236Comment: 12 pages, 10 figures, 4 tables, accepted for publication in Journal of the Korean Astronomical Society.The Infrared Medium-deep Survey. III. Survey of Luminous Quasars at 4.7 $łeq$ z $łeq$ 5.4, , , , , , , , , and 14 other author(s). (2017)cite arxiv:1706.08454Comment: 16 pages, 12 figures, and 9 tables. Accepted for publication in ApJS.Development of a Soil Organic Matter Content Prediction Model Based on Supervised Learning Using Vis-NIR/SWIR Spectroscopy., , , , and . Sensors, 22 (14): 5129 (2022)Artificial Intelligence-Based Plant Breeding using Genotype and Phenotype Data: Methods and Future Work., , , , , , , and . IEEE Big Data, page 3458-3463. IEEE, (2023)