关键词: finite element analysis secondary cells FEA modeling battery cell responses deformation scales premanufacture safety analysis simulated pack system impact loading Analytical models Batteries DOI: 10.1109/PORTABLE-POLYTRONIC.2008.4681263 被引量: 2 ...
Highway site safety does not receive sufficient attention in terms of safety research and programs. As part of the efforts of the Kentucky Transportation Cabinet (KYTC) to improve safety for their employees, this paper describes the data-driven design of a pre-task safety briefing tool. By ...
2025, Accident Analysis and Prevention Show abstract Willingness to utilize autonomous vehicles following accidents: A fresh perspective from mixed-methods research 2024, Transportation Research Part F: Traffic Psychology and Behaviour Show abstract Multi-Task Feature Decoupling Network with clear division of...
Maintenance operations over oil and gas fields are usually performed by a specialized fleet of heterogeneous vehicles and crews. These activities comprise safety, environmental protection and regulatory tasks; as well as preventive, predictive and corrective maintenance. Sometimes, depending on the task to...
The mainly explored task of the work. The mainly explored property of prompt learning methods in the work. Papers Overview This section contains the papers that overview the general trends in recent natural language processing with big (pretrained) models. OpenPrompt: An Open-source Framework for ...
TRAFFIC SAFETY AS A PRE-REQUISITE FOR SUSTAINABLE URBAN TRANSPORT: AN INTERNATIONAL ANALYSIS 喜欢 0 阅读量: 32 作者: D Mohan 收藏 引用 批量引用 报错 分享 全部来源 求助全文 www.jstage.jst.go.jp 相似文献 参考文献Using eco-efficiency as an indicator for sustainable urban development: A case ...
Analysis of pretraining and task-specific fine-tuning strategies In addition to establishing the superiority of domain-specific pretraining, we have also conducted thorough analyses of the myriad choices in pretraining and task-specific fine-tuning, with several interesting findings:...
After the pre-training phase, the LLM is fine-tuned on a smaller, task-specific labeled dataset. Fine-tuning involves updating the model's weights using supervised learning techniques to adapt the model to the target task. Examples of such tasks include sentiment analysis, question-answering, and...
1). The MLM is a token-level task only for masked tokens, and the NSP determines whether two sentences have a prior relationship. Both tasks aim to classify the correct label by minimizing the cross-entropy loss of the model for two sentences. Figure 1 Pre-training process for KM-BERT. ...
The task of dispatching mobile energy resources is performed in both pre-disaster and post-disaster stages, whereas refueling a mobile generator is performed only in the post-disaster stage. In the operational planning stage, tDSPi can be set such that dispatching takes place before an outage occ...