검색어 : 통합검색[Bigdata Intelligence]
총 219건 중 219건 출력
, 21/22 페이지
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201
- MSNGO: multi-species protein function annotation based on 3D protein structure and network propagation
- Beibei Wang; Boyue Cui; Shiqu Chen; Xuan Wang; Yadong Wang; Junyi Li; Harbin Institute of Technology (Shenzhen) School of Computer Science and Technology, , Shenzhen, Guang Dong 518055,; Harbin Institute of Technology (Shenzhen) School of Computer Science and Technology, , Shenzhen, Guang Dong 518055,; Harbin Institute of Technology (Shenzhen) School of Computer Science and Technology, , Shenzhen, Guang Dong 518055,; Harbin Institute of Technology (Shenzhen) Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, , Shenzhen, Guangdong 518055,; Harbin Institute of Technology Key Laboratory of Biological Bigdata, Ministry of Education, , Harbin, Heilongjiang 150001,; Harbin Institute of Technology (Shenzhen) Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, , Shenzhen, Guangdong 518055,; (Bioinformatics, v., 2025, )
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202
- Inference of a causal relation between low-density lipoprotein cholesterol and hypertension using mendelian randomization analysis
- Go, Tae-Hwa; Kwak, Kyeong Im; Jang, Ji-Yun; Yu, Minheui; Kim, Hye Sim; Kim, Jang Young; Koh, Sang Baek; Kang, Dae Ryong; Center of Biomedical Data Science, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea; Center of Cancer Data, National Cancer Center, Ilsan, Republic of Korea; Center of Biomedical Data Science, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea; SENTINEL Team, Division of Endocrinology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea; Artificial Intelligence BigData Medical Center, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea; Department of Cardiology, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea; Institute of Genomic Cohort, University Wonju College of Medicine, Wonju, Republic of Korea; Center of Biomedical Data Science, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea; (Clinical hypertension, v.27, 2021, pp.7)
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203
- Analysis of the State and Development of the Economy of the Republic of Uzbekistan in the Conditions of Digitalization and Implementation of Strategic Reforms
- Begalov, B. A.; Zhukovskaya, I. E.; Mamadzhanov, A. A.; Statistics Agency under the President of the Republic of Uzbekistan; Financial University under the Government of the Russian Federation; Statistics Agency under the President of the Republic of Uzbekistan; (Statistika i èkonomika = Statistics and economics, v.21, 2024, pp.47-55)
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204.
- 마인크래프트 리소스팩기반 데이터전송 이미지의 스테가노그래피 접근방식에 대한 연구
- 황동환
- 원광대학교 일반대학원, 국내석사, 58 p., 2025
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205
- Hypernatremia at admission predicts poor survival in patients with terminal cancer: a retrospective cohort study
- Seo, Min-Seok; Hwang, In Cheol; Jung, Jaehun; Lee, Hwanhee; Choi, Jae Hee; Shim, Jae-Yong; Department of Family Medicine, Incheon St. Mary’s Hospital, 56 Dongsuro, Bupyung-gu, Incheon, Republic of Korea; Department of Family Medicine, Gil Medical Center, Gachon University College of Medicine, 1198 Guwol-dong, Namdong-gu, Incheon, 405-760 Republic of Korea; Artificial Intelligence and Bigdata Convergence Center, Gachon University College of Medicine, Guwol-dong, Namdong-gu, Incheon, 405-760 Republic of Korea; Department of Family Medicine, Gil Medical Center, Gachon University College of Medicine, 1198 Guwol-dong, Namdong-gu, Incheon, 405-760 Republic of Korea; Department of Family Medicine, Gil Medical Center, Gachon University College of Medicine, 1198 Guwol-dong, Namdong-gu, Incheon, 405-760 Republic of Korea; Department of Family Medicine, Yonsei University Graduate School of Medicine, 211 Eonju-ro, Dogok-dong, Gangnam-gu, Seoul, Republic of Korea; (BMC palliative care, v.19, 2020, pp.94)
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206
- Gestational age-specific serum creatinine can predict adverse pregnancy outcomes
- Kang, Jieun; Hwang, Sangwon; Lee, Tae Sic; Cho, Jooyoung; Seo, Dong Min; Choi, Seong Jin; Uh, Young; Department of Obstetrics and Gynecology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, 20 Ilsan-ro, Wonju, 26426 Republic of Korea; Artificial Intelligence Bigdata Medical Center, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea; Department of Family Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea; Department of Laboratory Medicine, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, 20 Ilsan-ro, Wonju, 26426 Republic of Korea; Department of Medical Information, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea; Department of Obstetrics and Gynecology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, 20 Ilsan-ro, Wonju, 26426 Republic of Korea; Department of Laboratory Medicine, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, 20 Ilsan-ro, Wonju, 26426 Republic of Korea; (Scientific reports, v.12, 2022, pp.11224)
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207
- ECW-EGNet: Exploring Cross-ModalWeighting and edge-guided decoder network for RGB-D salient object detection
- Xia, Chenxing; Yang, Feng; Duan, Songsong; Gao, Xiuju; Ge, Bin; Li, Kuan-Ching; Fang, Xianjin; Zhang, Yan; Ke, Yang; College of Computer Science and Engineering, Anhui University of Science and Technology, Huainan, China + The First Affiliated Hospital of Anhui University of Science and Technology (Huainan First People’s Hospital) + Anhui Purvar Bigdata Technology Co. Ltd, Huainan, China; College of Computer Science and Engineering, Anhui University of Science and Technology, Huainan, China; State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi’an, China; College of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, Anhui, China; College of Computer Science and Engineering, Anhui University of Science and Technology, Huainan, China; Department of Computer Science and Information Engineering, Providence University, Taiwan; College of Computer Science and Engineering, Anhui University of Science and Technology, Huainan, China + Institute of Artificial Intelligence, Hefei Comprehensive Nat; (Computer science and information systems : ComSIS, v.n, 2024, pp.947-969)
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208.
- 급변하는 기업환경에 효과적으로 적응하는 OLAP 프레임워크 연구
- 이현석
- 단국대학교 정보미디어대학원, 국내석사, i,28장., 2012
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209.
- 산업용로봇의 사용실태에 관한 조사 연구
- 김현우
- 부경대학교 산업대학원, 국내석사, ⅷ, 41 p., 2022
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210.
- 머신러닝 기반 4차 산업혁명 이후의 미래예측에 관한 연구 : 음양오행사상 기준으로
- 하재춘
- 숭실대학교 대학원, 국내석사, 34, 2019
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