Titlebook: Smart Grid and Internet of Things; 6th EAI Internationa Der-Jiunn Deng,Han-Chieh Chao,Jyh-Cheng Chen Conference proceedings 2023 ICST Insti

刺激

Shuo Huangh sessions is vivid and rich in detail as well as illustrative of the focal dimension of this enquiry. Though this is a preliminary foray into a totally new area of investigation, it appears that an appropriate choice of methodology has been translated into a useful research method.

暗语

Bumble

Yifan Gao,Rong Chaih sessions is vivid and rich in detail as well as illustrative of the focal dimension of this enquiry. Though this is a preliminary foray into a totally new area of investigation, it appears that an appropriate choice of methodology has been translated into a useful research method.

玩忽职守

Cheng-yong Liu,Zhi-xin Wang,Hui-lin Liang,Xiu-Wen Yeh sessions is vivid and rich in detail as well as illustrative of the focal dimension of this enquiry. Though this is a preliminary foray into a totally new area of investigation, it appears that an appropriate choice of methodology has been translated into a useful research method.

sclera

慌张

Digital Transformation Application of Precision Industrial Quotation System to compare with the actual order data. Also, departments often affect the quotation time due to the cumbersome communication process. In order to solve the above problems and improve the quotation process, this study is discussed in a faster, more accurate, more effective and profitable way..By bui

健忘症

Research on Edge Computing Offloading Based on Reinforcement Learning in Multi-user Scenarioslti-user scenario, and designs a function that comprehensively considers task delay and task failure rate as the goal of further optimization. At the same time, aiming at the problem of state space dimension explosion in traditional reinforcement learning, a computing task offloading method based on

会议

Face Emotion Expression Recognition Using DLIB Model and Convolutional Neural Network Approach for Scognition model for supporting online learning. The combination ratio images dataset was 80% data training and 20% data testing, and the condition expression was determined with a deep learning approach. The experimental results showed that the recognition accuracy of the proposed model achieved 97%