Comparison of EfficientNet CNN models for multi-label chest X-ray disease diagnosis [0.03%]
EfficientNetCNN模型在胸部X光片多标签疾病诊断中的对比研究
Murat Ucan,Buket Kaya,Osman Aygun et al.
Murat Ucan et al.
The analysis of chest X-ray images, which are critical for the early diagnosis of many diseases, is a difficult and time-consuming process due to the multiple labeling requirements and similar looking pathologies. In traditional methods, ex...
SignVLM: a pre-trained large video model for sign language recognition [0.03%]
SignVLM：一种用于手语识别的预训练大型视频模型
Hamzah Luqman
Hamzah Luqman
Sign language recognition (SLR) plays a vital role in including people with hearing impairment in the community. It facilitates the recognition of sign gestures and converts them into spoken languages. One of the main challenges for develop...
Pengju Zhou
Pengju Zhou
Cybersecurity has always been a subject of great concern, and anomaly detection has gained increasing attention due to its ability to detect novel attacks. However, network anomaly detection faces significant challenges when dealing with ma...
Research on the relationship and prediction model between nighttime lighting data, pm2.5 data, and urban GDP [0.03%]
夜间灯光数据、PM2.5数据与城市GDP关系及预测模型研究
Sen Chen,Junke Li
Sen Chen
With the discovery of electricity and the widespread adoption of lighting technology, the extensive application of electricity has greatly increased productivity, making night-time factory production possible. At the same time, the rapid ex...
CrossAlignNet: a self-supervised feature learning framework for 3D point cloud understanding [0.03%]
交叉对齐网络：一种用于三维点云理解的自监督特征学习框架
Fei Wang,Xingzhen Dong,Jia Wu et al.
Fei Wang et al.
We propose a self-supervised point cloud representation learning framework CrossAlignNet based on cross-modal mask alignment strategy, to solve the problems of imbalance between global semantic and local geometric feature learning, as well ...
Danyang Zhang,Yi Zhai,Peiyuan Li et al.
Danyang Zhang et al.
With the rapid development of the furniture industry, automatic classification of furniture images has become an important research area. However, this task faces several challenges, including complex image backgrounds, diverse furniture ty...
Innovative multi objective optimization based automatic fake news detection [0.03%]
基于创新多目标优化的自动假新闻检测方法
Cebrail Barut,Suna Yildirim,Bilal Alatas et al.
Cebrail Barut et al.
With the digital revolution, access to information is expanding day by day and individuals can access information quickly through the internet and social media platforms. However, in most cases, there is no mechanism in place to evaluate th...
Optimising AI writing assessment using feedback and knowledge graph integration [0.03%]
基于反馈和知识图谱的AI作文评分优化方法研究
Ci Zhang
Ci Zhang
In this work, the authors provide a novel framework for the effectiveness of AI writing assessment systems by embedding state-of-the-art deep learning networks, user feedback mechanisms, and knowledge graph frameworks. Most writing assessme...
Beyond buzzwords: NLP reveals common threads in sustainable and circular construction discourse [0.03%]
超越流行语：NLP揭示可持续和循环建筑话语中的共同主题
Shakarim Aubakirov,Alexandr Pak,Iskander Akhmetov et al.
Shakarim Aubakirov et al.
Circular economy and sustainability have both seen rapid growth in academic literature, often leading to ambiguity and the overuse of these terms. This obscures their true objectives and makes it challenging to discern their distinct intent...
A study on an efficient citrus Huanglong disease detection algorithm based on three-channel aggregated attention [0.03%]
一种高效的柑橘黄龙病三通道聚合注意力检测算法研究
Yizong Wang,Zhengrong Xiao,Hong Wang et al.
Yizong Wang et al.
Background: Aiming at the problems of complex and diverse field symptoms of citrus Huanglong disease (HLB), low efficiency and insufficient recognition accuracy of traditional detection methods, this study proposes an eff...