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

AI in Tracking Air Quality

AI in Tracking Air Quality

The session will showcase a Nairobi-based project using AI to track air...

Sifa Kinoti Sifa Kinoti
Introduction to Named Entity Recognition using Azure Language

Introduction to Named Entity Recognition using Azure Language

Have you ever wondered how you can extract entities from unstructured text...

Konstantinos Kyriakos Sitistas Konstantinos Kyriakos Sitistas
Generate out of the world images with Azure and Stable Diffusion

Generate out of the world images with Azure and Stable Diffusion

Have you always wanted to have a photo in space, swimming through Atlantis...

Felipe Flores Felipe Flores
David Lazaro David Lazaro
Foundations of causal inference and open source causal analysis tools

Foundations of causal inference and open source causal analysis tools

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

Emre Kiciman Emre Kiciman
Towards Responsible AI

Towards Responsible AI

When we talk about AI, we usually mean a machine learning model that is...

Luis Beltran Luis Beltran
AI-voice-assistant-using-python

AI-voice-assistant-using-python

This session will explain how to build a voice assistant that will recog...

Anaam Sayeda Anaam Sayeda