Map** the distribution, pattern, and composition of urban land use categories plays a
valuable role in understanding urban environmental dynamics and facilitating sustainable …

The ability to 'sense'the social environment and thereby to understand the thoughts and
actions of others allows humans to fit into their social worlds, communicate and cooperate …

New concepts based on the Internet of Things propose the integration of the human factor as
a key component of novel interconnected ecosystems, to offer them new services and …

The recent advance of the federated learning (FL) has brought new opportunities for privacy-
aware distributed machine learning (ML) applications to train a powerful ML model without …

This paper studies an emerging and important problem of identifying misleading COVID-19
short videos where the misleading content is jointly expressed in the visual, audio, and …

With the spiraling pandemic of the Coronavirus Disease 2019 (COVID-19), it has becoming
inherently important to disseminate accurate and timely information about the disease. Due …

This paper focuses on a critical problem of explainable multimodal COVID-19
misinformation detection where the goal is to accurately detect misleading information in …

Artificial intelligence (AI) is changing fundamentally the way how IT solutions are
implemented and operated across all application domains, including the geospatial domain …

Artificial Intelligence (AI) has been widely adopted in many important application domains
such as speech recognition, computer vision, autonomous driving, and AI for social good. In …

Social media sensing has emerged as a new disaster response application paradigm to
collect real-time observations from online social media users about the disaster status. Due …