Street Cameras and Deep Learning Reveal Vehicle Emissions Block by Block
Researchers at MIT's Senseable City Lab and international collaborators have developed a deep learning framework that converts street camera video ...
Researchers at MIT's Senseable City Lab and international collaborators have developed a deep learning framework that converts street camera video ...
A Nature Cities Perspective argues that the spread of urban robots, from delivery pods to humanoid platforms, is governed by ...
Researchers have combined input–output modeling, social network analysis, and a bibliometric study of more than 214,000 articles to map the ...
Researchers in China have built a large language model-based scheduler that outperforms traditional and reinforcement learning methods for autonomous vehicle ...
A systematic review of a decade of research finds that smart cities become truly sustainable only when resilience indicators, adaptive ...
Researchers have developed BAS-IoV, a lightweight blockchain-based authentication protocol that secures the Internet of Vehicles against attacks while maintaining the ...
A new federated learning framework called FedCAMP-IDS detects known and zero-day cyberattacks across heterogeneous IoT networks with up to 99.16 ...
A new theoretical study argues that AI-driven urban complexity disperses responsibility across many hands, many things and many tasks, and ...
Researchers have built an AIoT-enabled urban platform that automatically detects floods from satellite imagery and maps impacts on suburbs, infrastructure, ...
A new University of Massachusetts Amherst study in the journal Cities presents public value mapping as a framework for communities ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine