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

Breast Cancer prediction using automated ML

Breast Cancer prediction using automated ML

A mini-project related to « Breast Cancer prediction using AutomatedML »,...

Hadil Ben Amor Hadil Ben Amor
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
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
Introduction to Azure cognitive services in the Power Platform

Introduction to Azure cognitive services in the Power Platform

I will talk in depth about azure cognitive services in the power platform a...

Panshak Koproda Panshak Koproda
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...

Kevin McFall Kevin McFall