担任CAAI A类期刊Information Fusion专刊编辑（Guest Editor）
点击次数：
发布时间：2024-10-22
发布时间：2024-10-22
文章标题：担任CAAI A类期刊Information Fusion专刊编辑（Guest Editor）
内容：
期刊介绍：信息融合(Information Fusion)是一本由Elsevier出版的一本工程技术-计算机：理论方法学术刊物，主要报道工程技术-计算机：理论方法相关领域研究成果与实践。该刊创刊于2000年，出版周期Quarterly，2023年发布的影响因子为14.7。
专刊主题：GenAI for Information Fusion。
- Theoretical Foundations of GenAI for Information Fusion: New algorithms, models, and frameworks that integrate generative models with information fusion techniques.
- Neural and Symbolic Fusion by GenAI: Methods and fusion mechanisms for representation and reasoning of neural and symbolic technologies based on GenAI.
- Applications of GenAI in Multisource Data Fusion: Case studies and applications in fields such as healthcare, education, cybersecurity, autonomous systems, environmental monitoring, etc.
- Multimodal GenAI: Methods for representation of multimodal data, such as visual, text, graph, audio, etc.
- Synthetic Data Generation and Utilization: Methods for creating and using synthetic data to enhance information fusion processes. Detection of GenAI content is also welcomed.
- Performance Evaluation and Benchmarking: Comparative studies on the effectiveness of GenAI in improving the accuracy and efficiency of information fusion.
- Scalability and Real-time Fusion: Techniques for applying GenAI in real-time information fusion scenarios and large-scale data environments.
- Ethical, Legal, and Social Implications: Examination of the ethical considerations, biases, and regulatory aspects associated with the use of GenAI in information fusion.
欢迎大家投稿。