DDC3N: Doppler-Driven Convolutional 3D Network for Human Action Recognition
In deep learning (DL)–based human action recognition (HAR), considerable strides have
been undertaken. Nevertheless, the precise classification of sports athletes' actions still …
been undertaken. Nevertheless, the precise classification of sports athletes' actions still …
A bitwise approach on influence overload problem
Increasingly develo** online social networks has enabled users to send or receive
information very fast. However, due to the availability of an excessive amount of data in …
information very fast. However, due to the availability of an excessive amount of data in …
[HTML][HTML] A Common Structure for Factors that Enhance Synergy in Contractor Project Teams: Executive and Practitioner Perspectives
J Pongpeng, N Ratanawimol - Buildings, 2024 - mdpi.com
Synergy in a contractor project team improves performance by integrating diverse
knowledge and skills among team members, enabling the achievement of project objectives …
knowledge and skills among team members, enabling the achievement of project objectives …
[CITATION][C] 설비 고장의 위험도 평가예측 및 위험도 진단모델
지현빈， 황인근， 김정훤， 유현우， 하다은… - 한국정보과학회 학술발표 …, 2023 - dbpia.co.kr
요 약최근 제조업체들은 인공지능과 빅데이터 분석 기술을 통해 제품의 품질 보증을 진행하기
시작했으나 고장위험도 및 위험도 진단에는 적용하지 못하고 있다 이에 따라 위험식별 및 …
시작했으나 고장위험도 및 위험도 진단에는 적용하지 못하고 있다 이에 따라 위험식별 및 …