Comparative analysis of machine learning techniques for predicting air quality in smart cities
Dealing with air pollution presents a major environmental challenge in smart city
environments. Real-time monitoring of pollution data enables local authorities to analyze the …
environments. Real-time monitoring of pollution data enables local authorities to analyze the …
Bridging Academia and Community: A Holistic Approach to Disaster Risk Management
JI Noble, OK Kilag, C Viscara - Excellencia: International Multi …, 2023 - multijournals.org
This study explores the integration of teaching, research, and extension services within
academia to address community-based disaster risk management (CBDRM). A …
academia to address community-based disaster risk management (CBDRM). A …
Divination of air quality assessment using ensembling machine learning approach
Smart cities must address air pollution as a top environmental concern. Real-time monitoring
of pollution data enables metropolitan authorities to analyze the city's current traffic …
of pollution data enables metropolitan authorities to analyze the city's current traffic …
Assessment of social vulnerability in areas exposed to multiple hazards: A case study of the Khuzestan Province, Iran
The inability of a system to plan for, respond to, and adapt to hazards and unfavorable
occurrences can lead to social vulnerability. Managers and planners can use social …
occurrences can lead to social vulnerability. Managers and planners can use social …
Performance analysis of regression algorithms and feature selection techniques to predict PM2.5 in smart cities
With an increase in the urban population, environmental pollution is drastically increased.
Air pollution is one of the significant issues in smart cities. The higher value of PM 2.5 can …
Air pollution is one of the significant issues in smart cities. The higher value of PM 2.5 can …
Multi-dimensional parametric coastal flood risk assessment at a regional scale using GIS
Coastal floods are the most prominent natural disaster causing severe damages to the local
communities regarding food security, economy and shelter. Risks can be defined by …
communities regarding food security, economy and shelter. Risks can be defined by …
Air quality prediction and monitoring using machine learning algorithm based iot sensor-a researcher's perspective
G Kalaivani, P Mayilvahanan - 2021 6th International …, 2021 - ieeexplore.ieee.org
Air Pollution (AP) is one of the serious and major environmental problem worldwide. Many
researchers have drawn attention and have focused about these problems keeping in mind …
researchers have drawn attention and have focused about these problems keeping in mind …
Place Based Approach to plan for Resilient Cities: A local government perspective
AVM Chand - Procedia engineering, 2018 - Elsevier
Local government have a pivotal role in city planning. However, meeting the conflicting
priorities such as plan for urbanization, promote economic prosperity, ensure environmental …
priorities such as plan for urbanization, promote economic prosperity, ensure environmental …
Stacking regression algorithms to predict PM2. 5 in the smart city using internet of things
Background: With the increase in populations in urban areas, there is an increase in
pollution also. Air pollution is one of the challenging environmental issues in smart cities …
pollution also. Air pollution is one of the challenging environmental issues in smart cities …
[PDF][PDF] Factors Influencing Crisis Preparedness of the Tourism and Hospitality Industry in Egypt: Employees' Perception
O Alsetoohy, AM Marzouk - Journal of the Faculty of Tourism …, 2021 - mfth.journals.ekb.eg
Increasingly, crises are an unavoidable aspect of business life, and hotels and travel
agencies, as part of the vast tourism and hospitality industry, are especially vulnerable to …
agencies, as part of the vast tourism and hospitality industry, are especially vulnerable to …