Showing results 24601 to 24620 of 51627
Machine learning acceleration method with multidimensional data embedding and coded distributed computing for internet of things = 다차원 데이터 임베딩과 코드화된 분산 컴퓨팅을 통한 사물인터넷 환경에서의 기계학습 가속화 방법link Kim, Nakyoung, 한국과학기술원, 2021 |
Machine learning algorithms for sparse supervision = 저지도 상황에서의 기계학습 알고리즘 연구link Seo, Jun; Moon, Jaekyun; et al, 한국과학기술원, 2022 |
Machine Learning and Autonomous Systems in the Military Realm: An Engineer’s Point of View Lee, Soo-Young, 3rd SIPRI Workshop on Mapping the Impact of Machine Learning and Autonomy on Strategic Stability and Nuclear Risk, STOCKHOLM INTERNATIONAL PEACE RESEARCH INSTITUTE, 2019-02-25 |
Machine learning based photovoltaic energy prediction scheme by augmentation of on-site IoT data Park, Jaeeun; Kim, Jangkyum; Lee, Sanghyun; Choi, Jun Kyun, FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v.134, pp.1 - 12, 2022-09 |
Machine learning based solar power & load forecasting and ESS-based energy management in power grids = 전력망에서의 기계학습 기반의 태양광 출력 및 전력부하 예측과 에너지저장장치 기반의 에너지 관리link Bae, Kuk Yeol; Sung, Dan Keun; et al, 한국과학기술원, 2017 |
Machine learning enabled the design of compact and efficient wavelength demultiplexing photonic devices Kurt, Hamza, 2023 IEEE Photonics Conference (IPC), pp.1 - 2, IEEE Photonics Society, 2023-11-13 |
Machine Learning for Practical Localization System Using Multiview CSI Kim, Minseuk; Han, Dongsoo; Rhee, June-Koo Kevin, IEEE ACCESS, v.8, pp.184575 - 184584, 2020-10 |
Machine Learning Robustness, Fairness, and their Convergence Lee, Jae-Gil; Roh, Yuji; Song, Hwanjun; Whang, Steven Euijong, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021, pp.4046 - 4047, Association for Computing Machinery, 2021-08-14 |
Machine learning-based 3D resist model Shim, Seongbo; Choi, Suhyeong; Shin, Youngsoo, SPIE Advanced Lithography, SPIE, 2017-02-26 |
Machine Learning-Based Beamforming in Two-User MISO Interference Channels Kwon, Hyung Jun; Lee, Jung Hoon; Choi, Wan, 1st International Conference on Artificial Intelligence in Information and Communication (ICAIIC), pp.496 - 499, IEEE, 2019-02 |
Machine Learning-Based Channel Prediction Exploiting Frequency Correlation in Massive MIMO Wideband Systems Ko, Beomsoo; Kim, Hwanjin; Choi, Junil, 2021 International Conference on Information and Communication Technology Convergence (ICTC), pp.1069 - 1071, IEEE, 2021-10-20 |
Machine Learning-Based Dimension Optimization for Two-Stage Precoder in Massive MIMO Systems with Limited Feedback Kang, Jinho; Lee, Jung Hoon; Choi, Wan, APPLIED SCIENCES-BASEL, v.9, no.14, 2019-07 |
Machine learning-based discrete event dynamic surrogate model of communication systems for simulating the command, control, and communication system of systems Kang, Bong Gu; Seo, Kyung-Min; Kim, Tag Gon, SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, v.95, no.8, pp.673 - 691, 2019-08 |
Machine Learning-Based Energy Management in a Hybrid Electric Vehicle to Minimize Total Operating Cost Xue Lin; Paul Bogdan; Chang, Naehyuck; Massoud Pedram, Proceedings of the International Conference on Computer Aided Design (ICCAD), ACM SIGDA and IEEE CEDA, 2015-11-04 |
Machine Learning-Based Energy Management in a Hybrid Electric Vehicle to Minimize Total Operating Cost Lin, Xue; Bogdan, Paul; Chang, Naehyuck; Pedram, Massoud, 34th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2015, pp.627 - 634, ACM SIGDA and IEEE CEDA, 2015-11-04 |
Machine learning-based error recovery schemes for low latency NAND flash memory system with process variation = 공정 변동이 존재하는 저지연 NAND 플래시 메모리 시스템을 위한 기계 학습 기반의 에러 복구 기법에 대한 연구link Lee, Seonmin; Park, Hyuncheol; et al, 한국과학기술원, 2022 |
Machine Learning-Based Error Recovery System for NAND Flash Memory with Process Variation Lee, Seonmin; Jee, Jeongju; Park, Hyuncheol, 12th International Conference on ICT Convergence (ICTC) - Beyond the Pandemic Era with ICT Convergence Innovation, pp.1537 - 1541, IEEE, 2021-10-22 |
Machine learning-based proactive caching strategy in the CoMP-enabled small cell network = CoMP 기반의 스몰 셀 네트워크에서의 기계학습을 활용한 능동 캐싱 기법 연구link Ahn, Junseop; Choi, Jun Kyun; 최준균; Park, Hong Shik; et al, 한국과학기술원, 2019 |
Machine learning-based resist 3D model Shim, Seongbo; Choi, Suhyeong; Shin, Youngsoo, Optical Microlithography XXX 2017, SPIE, 2017-02 |
Machine learning-based self-powered acoustic sensor for speaker recognition Han, Jae Hyun; Bae, Kang Min; Hong, Seong Kwang; Park, Hyunsin; Kwak, Jun-Hyuk; Wang, Hee Seung; Joe, Daniel Juhyung; et al, NANO ENERGY, v.53, pp.658 - 665, 2018-11 |
Discover