Smart Parking in Modern Cities: Challenges & Solutions

The presentation will address ML-related challenges of emerging intelligent parking guidance systems: parking lot occupancy detection and parking space availability forecasting. Along with the general information regarding the topic, we intend to discuss recently conducted computational experiments worldwide and introduce our state-of-the-art results.

Vadim Porvatov

Vadim Porvatov

MSc student at University of Amsterdam

Anastasia Martynova

Anastasia Martynova

NUST MISIS

Other sessions from: Global AI Student Conference December 2022

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Data Science and AI in Africa: The Impact of Communities

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In recent times, Data Science and AI is growing drastically within African...

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Hybrid Model Approach for Real-Time Acoustic Anomaly Detection using Time Series

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Disaster Risk Monitoring Using Satellite Imagery

Disaster Risk Monitoring Using Satellite Imagery

Learn how to build and deploy a deep learning model to automate the detec...

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Foundations of causal inference and open source causal analysis tools

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Many key data science tasks are about decision-making. They require unders...

Emre Kiciman Emre Kiciman