
Explore how e-bikes and sustainable transport could revolutionize urban mobility, examining innovative solutions for achieving net-zero targets through the e-bike-city project research.

Discover how to build digital twins for traffic systems using open-source tools like Eclipse SUMO and TAPAS, enabling data-driven decisions for urban mobility optimization and planning.

Explore cutting-edge transportation research and simulation techniques at the Alabama Transportation Institute, focusing on human-centered innovations and international collaborative efforts.

Discover how Jharkhand, India implements emerging technologies through strategic business initiatives and government-led digital transformation programs for regional development.

Discover how AI and machine learning optimize urban infrastructure, from buildings to transport systems, creating smarter, energy-efficient cities through predictive control and automated decision-making.

Discover how economic principles can drive sustainable decarbonization, exploring practical solutions from local communities to national policies, with insights on carbon taxation and environmental policy implementation.

Explore digital twin technology's role in Industry 4.0, understanding how virtual representations of physical systems enable AI-driven decision-making and real-time data processing for smart factories and cities.

Explore big data analytics and predictive models for sustainable urban mobility using digital twin technology.

Explore data-driven strategies to boost electrical recycling through partnerships, awareness campaigns, and insights into overcoming barriers to recycling behavior.

Explore how streaming data applications enable real-time environmental insights, driving sustainable decisions and cost savings while addressing ethical considerations and maintaining profitability.

Explore a 1.55-approximation algorithm for Euclidean capacitated vehicle routing in random settings, presented by Zipei Nie.

Explore the Heat Vulnerability Index for New Jersey, its construction, application, and importance in identifying at-risk communities during extreme heat events.

Explore scalable big data-driven, AI-enabled approaches for societal challenges. Learn about innovative solutions in healthcare, agriculture, and smart cities using advanced analytics and deep learning techniques.

Explore CODECO, an innovative open-source framework optimizing Edge-Cloud infrastructure efficiency through cognitive orchestration. Learn its principles, objectives, and potential impact across industries.

Explore unified platform for building and delivering secure applications from cloud to edge devices using Kubernetes and open-source technologies. Streamline development and deployment processes.

Explore a novel approach to incentivize fair behavior in autonomous vehicle ecosystems using blockchain technology and fairness tokens.

Explore MLOps practices for efficient ML model deployment and maintenance. Learn about Charmed Kubeflow and how to choose the right solution for your AI/ML projects.

Optimize traffic control for FIFA 2022 using RLlib-powered multi-agent reinforcement learning, microsimulation, and Graph Convolutional Networks for congestion management in Qatar.

Explore KubeEdge's architecture and real-world applications in edge computing, including smart cities, industrial IoT, and edge AI. Learn about its integration with Kubernetes and advancements in technology and community governance.

Exploring how nature impacts urban health, from disease spread to innovative solutions. Learn about green spaces, adaptable health systems, and equity-focused public health infrastructure in cities worldwide.

Explore innovative strategies for coordinating cross-county transportation, focusing on ST3's hidden imperative and its impact on regional mobility and accessibility.