Titlebook: International Conference on Neural Computing for Advanced Applications; 4th International Co Haijun Zhang,Yinggen Ke,Yuanyuan Mu Conference

離開浮于空中

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




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




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




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




書目名稱International Conference on Neural Computing for Advanced Applications被引頻次




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




書目名稱International Conference on Neural Computing for Advanced Applications年度引用




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




書目名稱International Conference on Neural Computing for Advanced Applications讀者反饋




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

顛簸下上

罵人有污點

Joint Attention Mechanism of YOLOv5s for Coke Oven Smoke and Fire Recognition Algorithmjoint CBAM module works best. The experimental results show that compared with the original YOLOv5s model, the mAP value of smoke and fire recognition in daytime scenes is improved by 4.4%, and the mAP value of smoke and fire recognition in nighttime scenes is as high as 97.1%.

Phonophobia

MAMF: A Multi-Level Attention-Based Multimodal Fusion Model for Medical Visual Question Answeringined from word embeddings and question feature to emphasize relevant regions for improving the quality of predicted answers. Results on VQA-RAD and PathVQA datasets suggest that our MAMF significantly outperforms the related state-of-the-art baselines.

服從

ASIM: Explicit Slot-Intent Mapping with?Attention for?Joint Multi-intent Detection and?Slot Fillingtween two tasks but also maps specific intents to each semantic slot. The ASIM model can balance multi-intent knowledge to guide slot filling and further increase the interaction between the two tasks. Experimental results on the MixATIS dataset demonstrate that our ASIM model achieves substantial improvement and state-of-the-art performance.

樸素

羽飾

排名真古怪

AWL

Improved YOLOv5s Based Steel Leaf Spring Identificationosition information of the target steel leaf spring, so that the robot can obtain the best motion trajectory and improve the efficiency of steel leaf spring grasping. In this paper, the identification method of steel leaf springs is studied. The images of the steel leaf springs are first acquired us

patella

A Bughole Detection Approach for?Fair-Faced Concrete Based on?Improved YOLOv5oncrete. However, most existing deep learning methods use image segmentation to detect bugholes or other defects on the surface of formed concrete, there is a lack of a method that can detect bughole on the concrete surface instantly during the pouring process. In addition, the inability to effectiv