Linked open government data to predict and explain house prices: the case of Scottish statistics portal
Accurately estimating the prices of houses is important for various stakeholders including
house owners, real estate agencies, government agencies, and policy-makers. Towards this …
house owners, real estate agencies, government agencies, and policy-makers. Towards this …
Analyzing the effectiveness of imbalanced data handling techniques in predicting driver phone use
Distracted driving leads to a significant number of road crashes worldwide. Smartphone use
is one of the most common causes of cognitive distraction among drivers. Available data on …
is one of the most common causes of cognitive distraction among drivers. Available data on …
A joint and simultaneous prediction framework of weekday and weekend daily-activity travel pattern using conditional dependency networks
Daily activity pattern (DAP) prediction models within the Activity-based Modelling paradigm
are being currently developed without adequate consideration of the various …
are being currently developed without adequate consideration of the various …
[PDF][PDF] OVERVIEW OF USAGE OF OPEN GOVERNMENT DATA IN BUILDING MACHINE LEARNING AND AI SOLUTIONS: A SYSTEMATIC LITERATURE REVIEW
This paper provides a systematic literature review on integrating Open Government Data
(OGD) with machine learning (ML) and artificial intelligence (AI) solutions. OGD refers to …
(OGD) with machine learning (ML) and artificial intelligence (AI) solutions. OGD refers to …
[PDF][PDF] Accident Severity Detection Using Machine Learning A Review
N Bi, H Sadia - 2023 - academia.edu
One of the greatest challenges in today's world is traffic accidents. It results in fatalities,
accidents, and property damage. Making a model that can accurately predict traffic accidents …
accidents, and property damage. Making a model that can accurately predict traffic accidents …