Information Privacy Behaviors during the COVID-19 Pandemic: Focusing on the Restaurant Context [0.03%]
新冠肺炎疫情期间的餐饮业信息隐私行为研究
Eunji Lee,Jin-Young Kim,Junchul Kim et al.
Eunji Lee et al.
The acquisition of personal information has been generally accepted in the pandemic situation as an effective measure to prevent infection, while at the same time raising concerns regarding the infringement of personal privacy. The current ...
Rumor Classification through a Multimodal Fusion Framework and Ensemble Learning [0.03%]
基于多模态融合和集成学习的谣言分类方法
Abderrazek Azri,Cécile Favre,Nouria Harbi et al.
Abderrazek Azri et al.
The proliferation of rumors on social media has become a major concern due to its ability to create a devastating impact. Manually assessing the veracity of social media messages is a very time-consuming task that can be much helped by mach...
Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection [0.03%]
基于信任的深度强化学习在联邦学习客户端选择中的应用
Gaith Rjoub,Omar Abdel Wahab,Jamal Bentahar et al.
Gaith Rjoub et al.
In the context of distributed machine learning, the concept of federated learning (FL) has emerged as a solution to the privacy concerns that users have about sharing their own data with a third-party server. FL allows a group of users (oft...
Reskilling and Upskilling the Future-ready Workforce for Industry 4.0 and Beyond [0.03%]
赋能面向未来的劳动力，迎接工业4.0时代的终身学习挑战
Ling Li
Ling Li
Industry 4.0 is revolutionizing manufacturing processes and has a powerful impact on globalization by changing the workforce and increasing access to new skills and knowledge. World Economic Forum estimates that, by 2025, 50% of all employe...
Knowledge Graph and Deep Learning-based Text-to-GQL Model for Intelligent Medical Consultation Chatbot [0.03%]
基于知识图和深度学习的文本到GQL模型的智能医疗咨询聊天机器人
Pin Ni,Ramin Okhrati,Steven Guan et al.
Pin Ni et al.
Text-to-GQL (Text2GQL) is a task that converts the user's questions into GQL (Graph Query Language) when a graph database is given. That is a task of semantic parsing that transforms natural language problems into logical expressions, which...
Combating Misinformation by Sharing the Truth: a Study on the Spread of Fact-Checks on Social Media [0.03%]
以真相对抗谣言：社交媒体上事实核查传播的研究
Jiexun Li,Xiaohui Chang
Jiexun Li
Misinformation on social media has become a horrendous problem in our society. Fact-checks on information often fall behind the diffusion of misinformation, which can lead to negative impacts on society. This research studies how different ...
An Investigation of the Factors that Influence Job Performance During Extreme Events: The Role of Information Security Policies [0.03%]
极端事件下影响工作绩效因素的研究——信息安全政策的作用分析
Victoria Kisekka,Sanjay Goel
Victoria Kisekka
Diligent compliance with Information security Policies (ISP) can effectively deter threats but can also adversely impact organizational productivity, impeding organizational task completion during extreme events. This paper examines employe...
An AI-based Decision Support System for Predicting Mental Health Disorders [0.03%]
一种基于人工智能的精神健康状况预测决策支持系统
Salih Tutun,Marina E Johnson,Abdulaziz Ahmed et al.
Salih Tutun et al.
Approximately one billion individuals suffer from mental health disorders, such as depression, bipolar disorder, schizophrenia, and anxiety. Mental health professionals use various assessment tools to detect and diagnose these disorders. Ho...
Using the FITradeoff Decision Support System to Support a Brazilian Compliance Organization Program [0.03%]
使用FITradeoff决策支持系统支持巴西合规组织计划
Maria Elvira Borges Tunú Pessoa,Lucia Reis Peixoto Roselli,Adiel Teixeira de Almeida
Maria Elvira Borges Tunú Pessoa
The technology can support multi-criteria decision-making processes, allowing managers to identify efficient solutions to complex problems in a structured and rational way. Specially, in time of crises, the use of Decision Support System (D...
Implementing Artificial Intelligence in Traditional B2B Marketing Practices: An Activity Theory Perspective [0.03%]
从活动理论视角看人工智能在传统B2B营销中的应用
Brendan James Keegan,Denis Dennehy,Peter Naudé
Brendan James Keegan
Anecdotal evidence suggests that artificial intelligence (AI) technologies are highly effective in digital marketing and rapidly growing in popularity in the context of business-to-business (B2B) marketing. Yet empirical research on AI-powe...