Titlebook: Big Data and Social Computing; 9th China National C Xiaofeng Meng,Zhidong Cao,Xiu-Xiu Zhan Conference proceedings 2024 The Editor(s) (if ap

Fester

The Prospects of?Multi-modal Pre-trained Models in?Epidemic Forecastingg the early stages of transmission is challenging due to limited data availability. Thus, we aim to explore the feasibility and effective strategies of leveraging multi-modal pre-trained technology for epidemic forecasting. This approach offers the potential to comprehensively grasp the transmission

GEAR

Deep Reinforcement Learning Based Dynamic Bus Timetable Scheduling with?Bidirectional Constraintsd to determine whether to depart in both directions every minute. We construct a state that includes information on bus lines in both directions. Considering the need for consistency in the number of departures in both directions, we design a reward function to ensure an equal number of departures i

減至最低

恩惠

Educators’ Networking Interacts with Digital Competence Heterogeneity to Enhance the Implementation oretical hypotheses for future empirical studies and suggest that harnessing the value of collective intelligence through decentralized digital networks is a feasible governance strategy for advancing AI-enabled education and promoting high-quality and balanced development of education.

聯(lián)合

激怒

gerontocracy

奇怪

doxazosin

ventilate

,Aufbau der Oxydh?ute bzw. Deckschichten, incorporate contrastive learning to discern the difference between normal and malicious traffic samples, facilitating the extraction of key features. Thorough experiments conducted on two publicly accessible datasets reveal that EG-ConMix surpasses current state-of-the-art methods in intrusion dete