AIMC Topic: Big Data

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Forecasting Subway Passenger Flow for Station-Level Service Supply.

Big data
Demand forecasting is one of the managers' concerns in service supply chain management. With accurate passenger flow forecasting, the station-level service suppliers can make better service plans accordingly. However, the existing forecasting model c...

Analysis of Legal Attributes and Rights Attributes of Personal Information from the Perspective of Big Data.

Computational and mathematical methods in medicine
With the popularization and rapid development of Internet technology (IT), social activities based on the exchange of personal information are rapidly popularizing. Although the free flow of a huge volume of personal data meets the needs of informati...

Immersive Learning Method of Ideological and Political Education under Big Data and Artificial Intelligence.

Computational intelligence and neuroscience
The study aims to explore the influence of big data on college students' learning methods of ideological and political education (IPE) under artificial intelligence. First, the characteristics of big data are analyzed. Second, big data is introduced ...

Scene Classification in the Environmental Art Design by Using the Lightweight Deep Learning Model under the Background of Big Data.

Computational intelligence and neuroscience
On the basis of scene visual understanding technology, the research aims to further improve the classification efficiency and classification accuracy of art design scenes. The lightweight deep learning (DL) model based on big data is used as the main...

Pangea: An MLOps Tool for Automatically Generating Infrastructure and Deploying Analytic Pipelines in Edge, Fog and Cloud Layers.

Sensors (Basel, Switzerland)
Development and operations (DevOps), artificial intelligence (AI), big data and edge-fog-cloud are disruptive technologies that may produce a radical transformation of the industry. Nevertheless, there are still major challenges to efficiently applyi...

Personalized College English Learning Based on Deep Learning under the Background of Big Data.

Computational intelligence and neuroscience
Generally, in-depth learning has been extensively employed in numerous industries to enhance the growth of economic globalization since the dawn of the big data age. At the same time, the demand for foreign language talent has risen dramatically, and...

The Use of Big Data Combined with Artificial Intelligence Neural Network Technology in Urban Spatial Evaluation System.

Computational intelligence and neuroscience
This exploration aims to promote the development of urbanization in China and improve the utilization rate of urban resources. First, intensive theory and spatial economics are studied. Next, an input-output urban spatial evaluation system is establi...

Big data, machine learning, and population health: predicting cognitive outcomes in childhood.

Pediatric research
The application of machine learning (ML) to address population health challenges has received much less attention than its application in the clinical setting. One such challenge is addressing disparities in early childhood cognitive development-a co...

Modern Machine-Learning Predictive Models for Diagnosing Infectious Diseases.

Computational and mathematical methods in medicine
Controlling infectious diseases is a major health priority because they can spread and infect humans, thus evolving into epidemics or pandemics. Therefore, early detection of infectious diseases is a significant need, and many researchers have develo...