Using Integrated City Data and Machine Learning to Identify and ...

Given the strong connection between housing and health, reducing public health risk at more properties-without the need for additional inspection ...

Using Integrated City Data and Machine Learning to Identify

The objective of this study was to determine whether machine learning algorithms can identify properties with housing code violations at a higher rate than ...

(PDF) Using Integrated City Data and Machine Learning to Identify ...

Integrated city data and machine learning can be used to describe the prevalence and location of housing-related health problems and make housing code ...

Using Integrated City Data and Machine Learning to Identify and ...

Using Integrated City Data and Machine Learning to Identify and Intervene Early on Housing-related Public Health Problems ... To read the full-text of this ...

Saving Lives, Time, and Money: Using Data to Find Unsafe and ...

We found that machine learning could help a city identify properties with health-threatening housing code violations nearly twice as fast as conventional ...

Can We Predict Where Housing-related Public Health Problems ...

Integrated city data and machine learning can pinpoint areas at elevated risk for housing-related health problems which can inform and enhance ...

Smart city implementation based on Internet of Things integrated ...

The gathered data is normalised. Machine learning sets the way for the IoT, which allows machines to communicate with one another without any human intervention ...

7.5 Smart city data platforms and applications - Fiveable

These systems face challenges in scalability, privacy, and integration, but emerging trends like edge computing and digital twins promise even ...

Algorithmic urban planning for smart and sustainable development

AI enabled deep learning, can assess citizens' urban perception of streets (Yao et al., 2019) or address the environmental concerns of pollution in cities ( ...

Deep learning solutions for smart city challenges in urban ... - Nature

In the realm of urban planning, the integration of deep learning technologies has emerged as a transformative force, promising to ...

Identifying Smart City Leaders and Followers with Machine Learning

Based on the training data performance, the Support Vector Machine (SVM) is used to predict who will be the next smart city leader or follower. According to the ...

Addressing Data Challenges to Drive the Transformation of Smart ...

The smart city data integration and analytics platform is responsible for integrating data from various sources into a single system and performing analytics.

Integrative urban AI to expand coverage, access, and equity of ...

By making available high-quality, multi-variate, cross-scale data for research, we aim to link the macrostudy of cities as complex systems with ...

An "Everything Data" Approach to Smart Cities - Teradata

Building a fully integrated analytic ecosystem requires a robust, enterprise-wide platform with the flexibility, scalability, and sustainability ...

Smart city data analysis | Proceedings of the First International ...

Smart City is using big data to generate intelligent information systems which support decision making capabilities. With effective data sources and data ...

Opportunities of collected city data for smart cities - IET Journals

When city data is generated continuously from different functions, the scattered data storages can be utilised efficiently with data ...

Enriching Integrated Statistical Open City Data by Combining ...

In this paper we present the Open City Data Pipeline, a focused attempt to collect, integrate, and enrich statistical data collected at city level worldwide.

Training Machine Learning Models On 311, 511 & 911 City Data

While the primary objective with this work is to increase the number of city data feeds available, and turn into city data streams, a secondary ...

Towards Data-Driven Smart Cities with Open Research Issues[v1]

To achieve this goal, various machine learning analytical modeling can be employed to provide deeper knowledge about city data, which makes the ...

Intelligent Automation for Actionable Insight and Cost Reduction

Cities everywhere are leveraging data to gain better insights into city operations and to improve citizens' lives. However, the explosion of ...