Titlebook: Neural Computing for Advanced Applications; 5th International Co Haijun Zhang,Xianxian Li,Qian He Conference proceedings 2025 The Editor(s)

令人不愉快

書目名稱Neural Computing for Advanced Applications影響因子(影響力)




書目名稱Neural Computing for Advanced Applications影響因子(影響力)學(xué)科排名




書目名稱Neural Computing for Advanced Applications網(wǎng)絡(luò)公開度




書目名稱Neural Computing for Advanced Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Neural Computing for Advanced Applications被引頻次




書目名稱Neural Computing for Advanced Applications被引頻次學(xué)科排名




書目名稱Neural Computing for Advanced Applications年度引用




書目名稱Neural Computing for Advanced Applications年度引用學(xué)科排名




書目名稱Neural Computing for Advanced Applications讀者反饋




書目名稱Neural Computing for Advanced Applications讀者反饋學(xué)科排名

健談

缺陷

978-981-97-7006-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

IRK

Neural Computing for Advanced Applications978-981-97-7007-6Series ISSN 1865-0929 Series E-ISSN 1865-0937

Hectic

finite

Mumble

Temporal Knowledge Graph Link Prediction Using Synergized Large Language Models and Temporal Knowledcertain challenges. However, through collaboration, large language models and temporal knowledge graphs can complement each other, addressing their respective shortcomings. This collaborative approach aims to harness the potential feasibility and practical effectiveness of large language models as e

正式演說

A New Multi-level Knowledge Retrieval Model for?Task-Oriented Dialogueally retrieve knowledge and entire entity by utilizing dialogue context, while the correlations between dialogue context and entity attributes are overlook, leading suboptimal knowledge retrieval. Therefore, we introduce a Multi-Level knowledge retrieval model for Task-Oriented Dialogue (MLTOD) cons

delegate

FPLGen: A Personalized Dialogue System Based on?Feature Prompt Learninging characteristics that already belong to a certain person. However, utilizing personality information for personalized response generation remains a non-trivial task. The system must consider both the user’s conversation history and personality description, posing challenges for coherent model tra

hemoglobin

Ensemble Learning with?Feature Fusion for?Well-Overflow Detectiononditions and varying geological environments. Moreover, conventional approaches often fail to fully leverage big data resources. Therefore, this study aims to improve the accuracy of kick prediction through machine learning models, especially by adopting an innovative feature fusion strategy to opt