Big Data Analysis and Deep Learning in Smart Environments: Uncovering Key Technologies for an Intelligent Future

Jiahao Huang

2024

Abstract

Smart City (SC) is a hot issue in the economic and social development of various countries today. In the developed digital era, big data analysis (BDA) plays an indelible role in all aspects of SC. This study pays special attention to the environmental aspect in the development of SC. This article summarizes previous research, analyzes and summarizes the application of multiple digital technologies such as BDA and deep learning (DL) in smart environment (SE) in air pollution index monitoring and urban Solid Waste Management Applications. The prediction model processed by BDA realizes the prediction of PM2.5 and other air pollutants and data visualization processing to achieve real-time monitoring of urban air pollutants. City managers can understand the air quality status through real-time monitoring data; through DL The architecture's data model enables intelligent management of urban waste, further enhancing waste processing and energy recycling. Research points out that BDA and DL still have great potential in the development of smart environments. The development of smart environments can be studied through a deep neural network model for a comprehensive and systematic model. In the era of information management, city managers use data-driven decisions to help improve the efficiency and quality of urban governance.

Paper Citation

in Harvard Style

Huang J. (2024). Big Data Analysis and Deep Learning in Smart Environments: Uncovering Key Technologies for an Intelligent Future. In Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-713-9, SciTePress, pages 80-84. DOI: 10.5220/0012909100004508

in Bibtex Style

@conference{emiti24,
author={Jiahao Huang},
title={Big Data Analysis and Deep Learning in Smart Environments: Uncovering Key Technologies for an Intelligent Future},
booktitle={Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2024},
pages={80-84},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012909100004508},
isbn={978-989-758-713-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Big Data Analysis and Deep Learning in Smart Environments: Uncovering Key Technologies for an Intelligent Future
SN - 978-989-758-713-9
AU - Huang J.
PY - 2024
SP - 80
EP - 84
DO - 10.5220/0012909100004508
PB - SciTePress