COVID-19 and cyberbullying: deep ensemble model to identify cyberbullying from code-switched languages during the pandemic [0.03%]
新冠肺炎期间用于识别代码混合语言网络欺凌的深度集成模型
Sayanta Paul,Sriparna Saha,Jyoti Prakash Singh
Sayanta Paul
It has been declared by the World Health Organization (WHO) the novel coronavirus a global pandemic due to an exponential spread in COVID-19 in the past months reaching over 100 million cases and resulting in approximately 3 million deaths ...
Predicting the impact of online news articles - is information necessary?: Application to COVID-19 articles [0.03%]
预测新闻文章的影响——信息量有必要吗？对COVID-19文章的应用
Judita Preiss
Judita Preiss
We exploit the Twitter platform to create a dataset of news articles derived from tweets concerning COVID-19, and use the associated tweets to define a number of popularity measures. The focus on (potentially) biomedical news articles allow...
A hybrid approach of Weighted Fine-Tuned BERT extraction with deep Siamese Bi - LSTM model for semantic text similarity identification [0.03%]
基于加权精调BERT提取与深度Siamese Bi-LSTM模型的语义文本相似度识别混合方法
D Viji,S Revathy
D Viji
The conventional semantic text-similarity methods requires high amount of trained labeled data and also human interventions. Generally, it neglects the contextual-information and word-orders information resulted in data sparseness problem a...
Deep learning techniques for observing the impact of the global warming from satellite images of water-bodies [0.03%]
深度学习技术观测全球变暖对水体的影响
Rajdeep Chatterjee,Ankita Chatterjee,Sk Hafizul Islam
Rajdeep Chatterjee
Global warming is a threat to modern human civilization. There are different reasons for speed up the global average temperature. The consequences are catastrophic for human existence. Seafloor rise, drought, flood, wildfire, dry riverbed a...
Location-aware hazardous litter management for smart emergency governance in urban eco-cyber-physical systems [0.03%]
基于位置感知的智能应急管理体系下城市生态三元融合系统中危险垃圾管理机制研究
Amirhossein Peyvandi,Babak Majidi,Soodeh Peyvandi et al.
Amirhossein Peyvandi et al.
Smart city management is facing a new challenge from littered face masks during COVID-19 pandemic. Addressing the issues of detection and collection of this hazardous waste that is littered in public spaces and outside the controlled enviro...
Saleh Alrashed,Nasro Min-Allah,Ijaz Ali et al.
Saleh Alrashed et al.
COVID-19 has transformed the life of human beings and digital twin infrastructure can facilitates working remotely during COVID-19 outbreak by reducing burden on services and infrastructure. Currently, many organizations are installing and ...
A survey on providing customer and public administration based services using AI: chatbot [0.03%]
基于AI的客服和公共行政服务聊天机器人研究
Krishna Kumar Nirala,Nikhil Kumar Singh,Vinay Shivshanker Purani
Krishna Kumar Nirala
A chatbot is emerged as an effective tool to address the user queries in automated, most appropriate and accurate way. Depending upon the complexity of the subject domain, researchers are employing variety of soft-computing techniques to ma...
A comparison of natural user interface and graphical user interface for narrative in HMD-based augmented reality [0.03%]
基于头戴式显示器的增强现实中的叙事：自然用户界面与图形用户界面比较研究
Yunshui Jin,Minhua Ma,Yongning Zhu
Yunshui Jin
Over the years, the various mediums available for storytelling have progressively expanded, from spoken to written word, then to film, and now to Virtual Reality (VR) and Augmented Reality (AR). In 2016, the cutting-edge Head-Mounted Displa...
Evaluation of effectiveness of eye massage therapy via classification of periocular images [0.03%]
基于眼周图像分类的眼部按摩疗效评价方法研究
Xiao-Ben Zheng,Bingo Wing-Kuen Ling,Zhi-Tao Zeng
Xiao-Ben Zheng
This paper proposes a method to evaluate the effectiveness of the eye message therapy. The existing methods are via the diagnoses conducted by the medical professions based on the measurements acquired by the optical instruments. However, t...